llvm and device-libs should use tag roc-ocl-2.7.0 (#875 )

default.xml updates for release 2.7 (#868 )
* Release 2.7 project descriptions. Signed-off-by: Cole Nelson <cole.nelson@amd.com> * Update version_history.md for 2.7 Signed-off-by: Cole Nelson <cole.nelson@amd.com> * Update meta pkg descriptions and misc. edits Signed-off-by: Cole Nelson <cole.nelson@amd.com> * default.xml: release 2.7 updates Signed-off-by: Cole Nelson <cole.nelson@amd.com>
2026-01-09 22:58:17 -05:00 · 2019-08-23 15:09:51 -07:00 · 2019-08-16 08:11:28 -07:00 · 2019-08-15 08:46:10 -07:00 · 2019-08-14 15:23:14 -07:00 · 2019-08-14 14:22:40 -07:00
3 changed files with 1068 additions and 97 deletions
--- a/README.md
+++ b/README.md
@@ -1,142 +1,711 @@
-## Are You Ready to ROCK!
-The ROCm Platform delivers on the vision of the  Boltzmann Initiative, bringing
-new opportunities in GPU Computing Research.
+## Are You Ready to ROCK?
+The ROCm Platform brings a rich foundation to advanced computing by seamlessly integrating the CPU and GPU with the goal of solving real-world problems.
+This software enables the high-performance operation of AMD GPUs for computation oriented tasks in the Linux operating system.
+Please refer the ROCm Documentation [here](https://rocm-documentation.readthedocs.io/en/latest/index.html).

-On November 16th, 2015, the Radeon Technology Group rolled out Boltzmann
-Initiative with three core foundation elements:
+### Current ROCm Version: 2.7

-* New Linux(R) Driver and Runtime Stack optimized for HPC & Ultra-scale class
-  computing,
-* Heterogeneous C and C++ compiler which best address the whole system not just
-  a single device
-* HIP acknowledging the need for platform choice when utilizing GPU computing
-  API
+- [New features and enhancements in ROCm 2.7](#new-features-and-enhancements-in-rocm-27)
+- [The latest ROCm platform - ROCm 2.7](#the-latest-rocm-platform-rocm-27)
+- [Hardware Support](#hardware-support)
+  * [Supported GPUs](#supported-gpus)
+  * [Supported CPUs](#supported-cpus)
+  * [Not supported or limited support under ROCm](#not-supported-or-limited-support-under-rocm)
+- [Supported Operating Systems](#supported-operating-systems-new-operating-systems-available)
+  * [ROCm support in upstream Linux kernels](#rocm-support-in-upstream-linux-kernels)
+- [Installing from AMD ROCm repositories](#installing-from-amd-rocm-repositories)
+  * [ROCm Binary Package Structure](#rocm-binary-package-structure)
+  * [Ubuntu Support - installing from a Debian repository](#ubuntu-support-installing-from-a-debian-repository)
+  * [CentOS/RHEL 7 (7.6) Support](#centosrhel-7-76-support)
+- [Known issues / workarounds](#known-issues-workarounds)
+- [Closed source components](#closed-source-components)
+- [Getting ROCm source code](#getting-rocm-source-code)
+  * [Installing repo](#installing-repo)
+  * [Downloading the ROCm source code](#downloading-the-rocm-source-code)
+  * [Building the ROCm source code](#building-the-rocm-source-code)
+- [Deprecation Notice](#deprecation-notice-hcc)
+- [Final notes](#final-notes)

-Using our knowledge of the HSA Standards and, more importantly, the HSA 1.0
-Runtime we have been able to successfully extended support to the dGPU with
-critical features for NUMA class acceleration. As a result, the ROCK driver is
-composed of several components based on our efforts to develop the
-Heterogeneous System Architecture for APUs, including the new AMDGPU driver,
-the Kernel Fusion Driver (KFD), the HSA+ Runtime and an LLVM based compilation
-stack for the building of key language support. This support starts with AMD’s
-FIJI Family of dGPU, but support is planned to expand to include future ASICS.
+### New features and enhancements in ROCm 2.7

-### The Latest ROCm Platform - ROCm 1.0
-The latest tested version of the drivers, tools, libraries and source code for
-the ROCm platform have been released and are available under the roc-1.0.0 tag
-of the following GitHub repositories:

-* [ROCK-Kernel-Driver](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/tree/dev)
-* [ROCR-Runtime](https://github.com/RadeonOpenCompute/ROCR-Runtime/tree/dev)
-* [ROCT-Thunk-Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/dev)
-* [HCC compiler](https://github.com/RadeonOpenCompute/hcc/tree/roc-1.0)
-* [LLVM-AMDGPU-Assembler-Extra](https://github.com/RadeonOpenCompute/LLVM-AMDGPU-Assembler-Extra/tree/master)
+#### [rocFFT] Real FFT Functional
+Improved real/complex 1D even-length transforms of unit stride. Performance improvements of up to 4.5x are observed. Large problem sizes should see approximately 2x.

-In addition the following mirror repositories that support the HCC compiler are
-also available on GitHub, and frozen for the roc-1.0.0 release:
+#### rocRand Enhancements and Optimizations
+- Added support for new datatypes: uchar, ushort, half.
+- Improved performance on "Vega 7nm" chips, such as on the Radeon Instinct MI50
+- mtgp32 uniform double performance changes due generation algorithm standardization. Better quality random numbers now generated with 30% decrease in performance
+- Up to 5% performance improvements for other algorithms

-* [llvm](https://github.com/RadeonOpenCompute/llvm/tree/roc-1.0)
-* [clang](https://github.com/RadeonOpenCompute/clang/tree/roc-1.0)
+#### RAS
+Added support for RAS on Radeon Instinct MI50, including:
+- Memory error detection
+- Memory error detection counter

-### Installing from AMD ROCm Repositories
-AMD is hosting both debian and rpm repositories for the ROCm 1.0 packages. The
-packages in both repositories have been signed to ensure package integrity.
-Directions for each repository are given below:
+#### ROCm-SMI enhancements
+Added ROCm-SMI CLI and LIB support for FW version, compute running processes, utilization rates, utilization counter, link error counter, and unique ID.

-#### Debian repository - apt-get
+
+Features and enhancements introduced in previous versions of ROCm can be found in [version_history.md](version_history.md)
+
+### The latest ROCm platform - ROCm 2.7
+
+The latest supported version of the drivers, tools, libraries and source code for the ROCm platform have been released and are available from the following GitHub repositories:
+
+* ROCm Core Components
+  - [ROCk Kernel Driver](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/tree/roc-2.7.0)
+  - [ROCr Runtime](https://github.com/RadeonOpenCompute/ROCR-Runtime/tree/roc-2.7.0)
+  - [ROCt Thunk Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-2.7.0)
+* ROCm Support Software
+  - [ROCm SMI](https://github.com/RadeonOpenCompute/ROC-smi/tree/roc-2.7.0)
+  - [ROCm cmake](https://github.com/RadeonOpenCompute/rocm-cmake/tree/master-rocm-2.7)
+  - [rocminfo](https://github.com/RadeonOpenCompute/rocminfo/tree/roc-2.7.0)
+  - [ROCm Bandwidth Test](https://github.com/RadeonOpenCompute/rocm_bandwidth_test/tree/roc-2.7.0)
+* ROCm Development Tools
+  - [HCC compiler](https://github.com/RadeonOpenCompute/hcc/tree/roc-hcc-2.7.0)
+  - [HIP](https://github.com/ROCm-Developer-Tools/HIP/tree/roc-2.7.0)
+  - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-hcc-2.7.0)
+  - ROCm OpenCL, which is created from the following components:
+    - [ROCm OpenCL Runtime](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/tree/roc-2.7.0)
+    - [ROCm OpenCL Driver](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Driver/tree/roc-2.7.0)
+  - The ROCm OpenCL compiler, which is created from the following components:
+      - [ROCm LLVM OCL](http://github.com/RadeonOpenCompute/llvm/tree/roc-ocl-2.7.0)
+      - [ROCm LLVM HCC](http://github.com/RadeonOpenCompute/llvm/tree/roc-hcc-2.7.0)
+      - [ROCm Clang](http://github.com/RadeonOpenCompute/clang/tree/roc-2.7.0)
+      - [ROCm lld OCL](http://github.com/RadeonOpenCompute/lld/tree/roc-ocl-2.7.0)
+      - [ROCm lld HCC](http://github.com/RadeonOpenCompute/lld/tree/roc-hcc-2.7.0)
+      - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-ocl-2.7.0)
+  - [ROCM Clang-OCL Kernel Compiler](https://github.com/RadeonOpenCompute/clang-ocl/tree/roc-2.7.0)
+  - [Asynchronous Task and Memory Interface (ATMI)](https://github.com/RadeonOpenCompute/atmi/tree/rocm_2.7.0)
+  - [ROCr Debug Agent](https://github.com/ROCm-Developer-Tools/rocr_debug_agent/tree/roc-2.7.0)
+  - [ROCm Code Object Manager](https://github.com/RadeonOpenCompute/ROCm-CompilerSupport/tree/roc-2.7.0)
+  - [ROC Profiler](https://github.com/ROCm-Developer-Tools/rocprofiler/tree/roc-2.6.x)
+  - [ROC Tracer](https://github.com/ROCmSoftwarePlatform/roctracer/tree/roc-2.7.x)
+  - [Radeon Compute Profiler](https://github.com/GPUOpen-Tools/RCP/tree/3a49405)
+  - Example Applications:
+    - [HCC Examples](https://github.com/ROCm-Developer-Tools/HCC-Example-Application/tree/ffd65333)
+    - [HIP Examples](https://github.com/ROCm-Developer-Tools/HIP-Examples/tree/roc-2.7.0)
+* ROCm Libraries
+  - [rocBLAS](https://github.com/ROCmSoftwarePlatform/rocBLAS/tree/master-rocm-2.7)
+  - [hipBLAS](https://github.com/ROCmSoftwarePlatform/hipBLAS/tree/master-rocm-2.7)
+  - [rocFFT](https://github.com/ROCmSoftwarePlatform/rocFFT/tree/master-rocm-2.7)
+  - [rocRAND](https://github.com/ROCmSoftwarePlatform/rocRAND/tree/master-rocm-2.7)
+  - [rocSPARSE](https://github.com/ROCmSoftwarePlatform/rocSPARSE/tree/master-rocm-2.7)
+  - [hipSPARSE](https://github.com/ROCmSoftwarePlatform/hipSPARSE/tree/master-rocm-2.7)
+  - [rocALUTION](https://github.com/ROCmSoftwarePlatform/rocALUTION/tree/master-rocm-2.7)
+  - [MIOpenGEMM](https://github.com/ROCmSoftwarePlatform/MIOpenGEMM/tree/9547fb9e)
+  - [MIOpen](https://github.com/ROCmSoftwarePlatform/MIOpen/tree/roc-2.7.0)
+  - [rocThrust](https://github.com/ROCmSoftwarePlatform/rocThrust/tree/master-rocm-2.7)
+  - [ROCm SMI Lib](https://github.com/RadeonOpenCompute/rocm_smi_lib/tree/roc-2.7.0)
+  - [RCCL](https://github.com/ROCmSoftwarePlatform/rccl/tree/master-rocm-2.7)
+  - [MIVisionX](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/tree/1.3.0)
+  - [hipCUB](https://github.com/ROCmSoftwarePlatform/hipCUB/tree/rocm-2.7)
+
+### Hardware Support
+ROCm is focused on using AMD GPUs to accelerate computational tasks such as machine learning, engineering workloads, and scientific computing.
+In order to focus our development efforts on these domains of interest, ROCm supports a targeted set of hardware configurations which are detailed further in this section.
+
+#### Supported GPUs
+Because the ROCm Platform has a focus on particular computational domains, we offer official support for a selection of AMD GPUs that are designed to offer good performance and price in these domains.
+
+ROCm officially supports AMD GPUs that use following chips:
+
+  * GFX8 GPUs
+    * "Fiji" chips, such as on the AMD Radeon R9 Fury X and Radeon Instinct MI8
+    * "Polaris 10" chips, such as on the AMD Radeon RX 580 and Radeon Instinct MI6
+  * GFX9 GPUs
+    * "Vega 10" chips, such as on the AMD Radeon RX Vega 64 and Radeon Instinct MI25
+    * "Vega 7nm" chips, such as on the Radeon Instinct MI50, Radeon Instinct MI60 or AMD Radeon VII
+
+ROCm is a collection of software ranging from drivers and runtimes to libraries and developer tools.
+Some of this software may work with more GPUs than the "officially supported" list above, though AMD does not make any official claims of support for these devices on the ROCm software platform.
+The following list of GPUs are enabled in the ROCm software, though full support is not guaranteed:
+
+  * GFX8 GPUs
+    * "Polaris 11" chips, such as on the AMD Radeon RX 570 and Radeon Pro WX 4100
+    * "Polaris 12" chips, such as on the AMD Radeon RX 550 and Radeon RX 540
+  * GFX7 GPUs
+    * "Hawaii" chips, such as the AMD Radeon R9 390X and FirePro W9100
+
+As described in the next section, GFX8 GPUs require PCI Express 3.0 (PCIe 3.0) with support for PCIe atomics. This requires both CPU and motherboard support. GFX9 GPUs require PCIe 3.0 with support for PCIe atomics by default, but they can operate in most cases without this capability.
+
+The integrated GPUs in AMD APUs are not officially supported targets for ROCm.
+As described [below](#limited-support), "Carrizo", "Bristol Ridge", and "Raven Ridge" APUs are enabled in our upstream drivers and the ROCm OpenCL runtime.
+However, they are not enabled in our HCC or HIP runtimes, and may not work due to motherboard or OEM hardware limitations.
+As such, they are not yet officially supported targets for ROCm.
+
+For a more detailed list of hardware support, please see [the following documentation](https://rocm.github.io/hardware.html).
+
+#### Supported CPUs
+As described above, GFX8 GPUs require PCIe 3.0 with PCIe atomics in order to run ROCm.
+In particular, the CPU and every active PCIe point between the CPU and GPU require support for PCIe 3.0 and PCIe atomics.
+The CPU root must indicate PCIe AtomicOp Completion capabilities and any intermediate switch must indicate PCIe AtomicOp Routing capabilities.
+
+Current CPUs which support PCIe Gen3 + PCIe Atomics are:
+
+  * AMD Ryzen CPUs
+  * The CPUs in AMD Ryzen APUs
+  * AMD Ryzen Threadripper CPUs
+  * AMD EPYC CPUs
+  * Intel Xeon E7 v3 or newer CPUs
+  * Intel Xeon E5 v3 or newer CPUs
+  * Intel Xeon E3 v3 or newer CPUs
+  * Intel Core i7 v4, Core i5 v4, Core i3 v4 or newer CPUs (i.e. Haswell family or newer)
+  * Some Ivy Bridge-E systems
+
+Beginning with ROCm 1.8, GFX9 GPUs (such as Vega 10) no longer require PCIe atomics.
+We have similarly opened up more options for number of PCIe lanes.
+GFX9 GPUs can now be run on CPUs without PCIe atomics and on older PCIe generations, such as PCIe 2.0.
+This is not supported on GPUs below GFX9, e.g. GFX8 cards in the Fiji and Polaris families.
+
+If you are using any PCIe switches in your system, please note that PCIe Atomics are only supported on some switches, such as Broadcom PLX.
+When you install your GPUs, make sure you install them in a PCIe 3.0 x16, x8, x4, or x1 slot attached either directly to the CPU's Root I/O controller or via a PCIe switch directly attached to the CPU's Root I/O controller.
+
+In our experience, many issues stem from trying to use consumer motherboards which provide physical x16 connectors that are electrically connected as e.g. PCIe 2.0 x4, PCIe slots connected via the Southbridge PCIe I/O controller, or PCIe slots connected through a PCIe switch that does
+not support PCIe atomics.
+
+If you attempt to run ROCm on a system without proper PCIe atomic support, you may see an error in the kernel log (`dmesg`):
+```
+kfd: skipped device 1002:7300, PCI rejects atomics
+```
+
+Experimental support for our Hawaii (GFX7) GPUs (Radeon R9 290, R9 390, FirePro W9100, S9150, S9170)
+does not require or take advantage of PCIe Atomics. However, we still recommend that you use a CPU
+from the list provided above for compatibility purposes.
+
+#### Not supported or limited support under ROCm
+##### Limited support
+
+* ROCm 2.7.x should support PCIe 2.0 enabled CPUs such as the AMD Opteron, Phenom, Phenom II, Athlon, Athlon X2, Athlon II and older Intel Xeon and Intel Core Architecture and Pentium CPUs. However, we have done very limited testing on these configurations, since our test farm has been catering to CPUs listed above. This is where we need community support. _If you find problems on such setups, please report these issues_.
+* Thunderbolt 1, 2, and 3 enabled breakout boxes should now be able to work with ROCm. Thunderbolt 1 and 2 are PCIe 2.0 based, and thus are only supported with GPUs that do not require PCIe 3.0 atomics (e.g. Vega 10). However, we have done no testing on this configuration and would need community support due to limited access to this type of equipment.
+* AMD "Carrizo" and "Bristol Ridge" APUs are enabled to run OpenCL, but do not yet support HCC, HIP, or our libraries built on top of these compilers and runtimes.
+  * As of ROCm 2.1, "Carrizo" and "Bristol Ridge" require the use of upstream kernel drivers.
+  * In addition, various "Carrizo" and "Bristol Ridge" platforms may not work due to OEM and ODM choices when it comes to key configurations parameters such as inclusion of the required CRAT tables and IOMMU configuration parameters in the system BIOS.
+  * Before purchasing such a system for ROCm, please verify that the BIOS provides an option for enabling IOMMUv2 and that the system BIOS properly exposes the correct CRAT table. Inquire with your vendor about the latter.
+* AMD "Raven Ridge" APUs are enabled to run OpenCL, but do not yet support HCC, HIP, or our libraries built on top of these compilers and runtimes.
+  * As of ROCm 2.1, "Raven Ridge" requires the use of upstream kernel drivers.
+  * In addition, various "Raven Ridge" platforms may not work due to OEM and ODM choices when it comes to key configurations parameters such as inclusion of the required CRAT tables and IOMMU configuration parameters in the system BIOS.
+  * Before purchasing such a system for ROCm, please verify that the BIOS provides an option for enabling IOMMUv2 and that the system BIOS properly exposes the correct CRAT table. Inquire with your vendor about the latter.
+
+##### Not supported
+
+* "Tonga", "Iceland", "Vega M", and "Vega 12" GPUs are not supported in ROCm 2.7.x
+* We do not support GFX8-class GPUs (Fiji, Polaris, etc.) on CPUs that do not have PCIe 3.0 with PCIe atomics.
+  * As such, we do not support AMD Carrizo and Kaveri APUs as hosts for such GPUs.
+  * Thunderbolt 1 and 2 enabled GPUs are not supported by GFX8 GPUs on ROCm. Thunderbolt 1 & 2 are based on PCIe 2.0.
+
+### Supported Operating Systems - New operating systems available
+
+The ROCm 2.7.x platform supports the following operating systems:
+
+ * Ubuntu 16.04.5(Kernel 4.15) and 18.04.2(Kernel 4.18)
+ * CentOS 7.6 (Using devtoolset-7 runtime support)
+ * RHEL 7.6 (Using devtoolset-7 runtime support)
+
+#### ROCm support in upstream Linux kernels
+
+As of ROCm 1.9.0, the ROCm user-level software is compatible with the AMD drivers in certain upstream Linux kernels.
+As such, users have the option of either using the ROCK kernel driver that are part of AMD's ROCm repositories or using the upstream driver and only installing ROCm user-level utilities from AMD's ROCm repositories.
+
+These releases of the upstream Linux kernel support the following GPUs in ROCm:
+ * 4.17: Fiji, Polaris 10, Polaris 11
+ * 4.18: Fiji, Polaris 10, Polaris 11, Vega10
+ * 4.20: Fiji, Polaris 10, Polaris 11, Vega10, Vega 7nm
+
+The upstream driver may be useful for running ROCm software on systems that are not compatible with the kernel driver available in AMD's repositories.
+For users that have the option of using either AMD's or the upstreamed driver, there are various tradeoffs to take into consideration:
+
+|   | Using AMD's `rock-dkms` package | Using the upstream kernel driver |
+| ---- | ------------------------------------------------------------| ----- |
+| Pros | More GPU features, and they are enabled earlier | Includes the latest Linux kernel features |
+|      | Tested by AMD on supported distributions | May work on other distributions and with custom kernels |
+|      | Supported GPUs enabled regardless of kernel version | |
+|      | Includes the latest GPU firmware | |
+| Cons | May not work on all Linux distributions or versions | Features and hardware support varies depending on kernel version |
+|      | Not currently supported on kernels newer than 4.18 | Limits GPU's usage of system memory to 3/8 of system memory |
+|      |   | IPC and RDMA capabilities are not yet enabled |
+|      |   | Not tested by AMD to the same level as `rock-dkms` package |
+|      |   | Does not include most up-to-date firmware |
+
+
+### Installing from AMD ROCm repositories
+
+AMD hosts both [Debian](http://repo.radeon.com/rocm/apt/debian/) and [RPM](http://repo.radeon.com/rocm/yum/rpm/) repositories for the ROCm 2.7.x packages at this time.
+
+The packages in the Debian repository have been signed to ensure package integrity.
+
+#### ROCm Binary Package Structure
+
+ROCm is a collection of software ranging from drivers and runtimes to libraries and developer tools.
+In AMD's package distributions, these software projects are provided as a separate packages.
+This allows users to install only the packages they need, if they do not wish to install all of ROCm.
+These packages will install most of the ROCm software into `/opt/rocm/` by default.
+
+The packages for each of the major ROCm components are:
+
+* ROCm Core Components
+  - ROCk Kernel Driver: `rock-dkms`
+  - ROCr Runtime: `hsa-rocr-dev`, `hsa-ext-rocr-dev`
+  - ROCt Thunk Interface: `hsakmt-roct`, `hsakmt-roct-dev`
+* ROCm Support Software
+  - ROCm SMI: `rocm-smi`
+  - ROCm cmake: `rocm-cmake`
+  - rocminfo: `rocminfo`
+  - ROCm Bandwidth Test: `rocm_bandwidth_test`
+* ROCm Development Tools
+  - HCC compiler: `hcc`
+  - HIP: `hip_base`, `hip_doc`, `hip_hcc`, `hip_samples`
+  - ROCm Device Libraries: `rocm-device-libs`
+  - ROCm OpenCL: `rocm-opencl`, `rocm-opencl-devel` (on RHEL/CentOS), `rocm-opencl-dev` (on Ubuntu)
+  - ROCM Clang-OCL Kernel Compiler: `rocm-clang-ocl`
+  - Asynchronous Task and Memory Interface (ATMI): `atmi`
+  - ROCr Debug Agent: `rocr_debug_agent`
+  - ROCm Code Object Manager: `comgr`
+  - ROC Profiler: `rocprofiler-dev`
+  - ROC Tracer: `roctracer-dev`
+  - Radeon Compute Profiler: `rocm-profiler`
+* ROCm Libraries
+  - rocALUTION: `rocalution`
+  - rocBLAS: `rocblas`
+  - hipBLAS: `hipblas`
+  - hipCUB: `hipCUB`
+  - rocFFT: `rocfft`
+  - rocRAND: `rocrand`
+  - rocSPARSE: `rocsparse`
+  - hipSPARSE: `hipsparse`
+  - ROCm SMI Lib: `rocm_smi_lib64`
+  - rocThrust: `rocThrust`
+  - MIOpen: `MIOpen-HIP` (for the HIP version), `MIOpen-OpenCL` (for the OpenCL version)
+  - MIOpenGEMM: `miopengemm`
+  - MIVisionX: `mivisionx`
+  - RCCL: `rccl`
+
+To make it easier to install ROCm, the AMD binary repositories provide a number of meta-packages that will automatically install multiple other packages.
+For example, `rocm-dkms` is the primary meta-package that is used to install most of the base technology needed for ROCm to operate.
+It will install the `rock-dkms` kernel driver, and another meta-package (`rocm-dev`) which installs most of the user-land ROCm core components, support software, and development tools.
+
+The `rocm-utils` meta-package will install useful utilities that, while not required for ROCm to operate, may still be beneficial to have.
+Finally, the `rocm-libs` meta-package will install some (but not all) of the libraries that are part of ROCm.
+
+The chain of software installed by these meta-packages is illustrated below
+
+```
+  rocm-dkms
+    |--rock-dkms
+    \--rocm-dev
+       |--hsa-rocr-dev
+       |--hsa-ext-rocr-dev
+       |--hsakmt-roct
+       |--hsakmt-roct-dev
+       |--rocm-cmake
+       |--rocm-device-libs
+       |--hcc
+       |--hip_base
+       |--hip_doc
+       |--hip_hcc
+       |--hip_samples
+       |--rocm-smi
+       |--hsa-amd-aqlprofile
+       |--comgr
+       |--rocr_debug_agent
+       \--rocm-utils
+          |--rocminfo
+          \--rocm-clang-ocl # This will cause OpenCL to be installed
+
+  rocm-libs
+    |--rocalution
+    |--hipblas
+    |--rocblas
+    |--rocfft
+    |--rocrand
+    |--hipsparse
+    \--rocsparse
+```
+
+These meta-packages are not required but may be useful to make it easier to install ROCm on most systems.
+Some users may want to skip certain packages. For instance, a user that wants to use the upstream kernel drivers (rather than those supplied by AMD) may want to skip the `rocm-dkms` and `rock-dkms` packages, and instead directly install `rocm-dev`.
+
+Similarly, a user that only wants to install OpenCL support instead of HCC and HIP may want to skip the `rocm-dkms` and `rocm-dev` packages.
+Instead, they could directly install `rock-dkms`, `rocm-opencl`, and `rocm-opencl-dev` and their dependencies.
+
+#### Ubuntu Support - installing from a Debian repository
+
+The following directions show how to install ROCm on supported Debian-based systems such as Ubuntu 18.04.
+These directions may not work as written on unsupported Debian-based distributions.
+For example, newer versions of Ubuntu may not be compatible with the `rock-dkms` kernel driver.
+As such, users may want to skip the `rocm-dkms` and `rock-dkms` packages, as described [above](#rocm-binary-package-structure), and instead [use the upstream kernel driver](#using-debian-based-rocm-with-upstream-kernel-drivers).
+
+##### First make sure your system is up to date
+
+```shell
+sudo apt update
+sudo apt dist-upgrade
+sudo apt install libnuma-dev
+sudo reboot
+```

 ##### Add the ROCm apt repository
-For Debian based systems, like Ubuntu, configure the Debian ROCm repository as
+
+For Debian-based systems like Ubuntu, configure the Debian ROCm repository as
 follows:

 ```shell
-wget -qO - http://packages.amd.com/rocm/apt/debian/rocm.gpg.key | sudo apt-key add -
-sudo sh -c 'echo deb [arch=amd64] http://packages.amd.com/rocm/apt/debian/ trusty main > /etc/apt/sources.list.d/rocm.list'
+wget -qO - http://repo.radeon.com/rocm/apt/debian/rocm.gpg.key | sudo apt-key add -
+echo 'deb [arch=amd64] http://repo.radeon.com/rocm/apt/debian/ xenial main' | sudo tee /etc/apt/sources.list.d/rocm.list
 ```
+The gpg key might change, so it may need to be updated when installing a new release.
+If the key signature verification is failed while update, please re-add the key from
+ROCm apt repository. The current rocm.gpg.key is not available in a standard key ring
+distribution, but has the following sha1sum hash:

-##### Install or Update
-Next, update the apt-get repository list and install/update the rocm package:
+`e85a40d1a43453fe37d63aa6899bc96e08f2817a  rocm.gpg.key`

->**Warning**: Before proceeding, make sure to completely
->[uninstall any pre-release ROCm packages](https://github.com/RadeonOpenCompute/ROCm#removing-pre-release-packages):
+##### Install
+
+Next, update the apt repository list and install the `rocm-dkms` meta-package:

 ```shell
-sudo apt-get update
-sudo apt-get install rocm
+sudo apt update
+sudo apt install rocm-dkms
 ```

-##### Un-install
-To un-install the entire rocm-dev development package execute:
+##### Next set your permissions
+
+Users will need to be in the `video` group in order to have access to the GPU.
+As such, you should ensure that your user account is a member of the `video` group prior to using ROCm.
+You can find which groups you are a member of with the following command:

 ```shell
-sudo apt-get autoremove rocm
+groups
+```
+
+To add yourself to the video group you will need the sudo password and can use the following command:
+
+```shell
+sudo usermod -a -G video $LOGNAME
+```
+
+You may want to ensure that any future users you add to your system are put into the "video" group by default. To do that, you can run the following commands:
+
+```shell
+echo 'ADD_EXTRA_GROUPS=1' | sudo tee -a /etc/adduser.conf
+echo 'EXTRA_GROUPS=video' | sudo tee -a /etc/adduser.conf
+```
+
+Once complete, reboot your system.
+
+##### Test basic ROCm installation
+
+After rebooting the system run the following commands to verify that the ROCm installation was successful. If you see your GPUs listed by both of these commands, you should be ready to go!
+
+```shell
+/opt/rocm/bin/rocminfo
+/opt/rocm/opencl/bin/x86_64/clinfo
+```
+
+Note that, to make running ROCm programs easier, you may wish to put the ROCm binaries in your PATH.
+
+```shell
+echo 'export PATH=$PATH:/opt/rocm/bin:/opt/rocm/profiler/bin:/opt/rocm/opencl/bin/x86_64' | sudo tee -a /etc/profile.d/rocm.sh
+```
+
+If you have an [install issue](https://rocm.github.io/install_issues.html) please read this FAQ.
+
+##### Performing an OpenCL-only Installation of ROCm
+
+Some users may want to install a subset of the full ROCm installation.
+In particular, if you are trying to install on a system with a limited amount of storage space, or which will only run a small collection of known applications, you may want to install only the packages that are required to run OpenCL applications.
+To do that, you can run the following installation command **instead** of the command to install `rocm-dkms`.
+
+```shell
+sudo apt-get install dkms rock-dkms rocm-opencl-dev
+```
+
+##### How to uninstall from Ubuntu 16.04 or Ubuntu 18.04
+
+To uninstall the ROCm packages installed in the above directions, you can execute;
+
+```shell
+sudo apt autoremove rocm-dkms rocm-dev rocm-utils
 ```

 ##### Installing development packages for cross compilation
-It is often useful to develop and test on different systems. In this scenario,
-you may prefer to avoid installing the ROCm Kernel to your development system.
+
+It is often useful to develop and test on different systems.
+For example, some development or build systems may not have an AMD GPU installed.
+In this scenario, you may prefer to avoid installing the ROCK kernel driver to your development system.

 In this case, install the development subset of packages:

 ```shell
-sudo apt-get update
-sudo apt-get install rocm-dev
+sudo apt update
+sudo apt install rocm-dev
 ```
-
 >**Note:** To execute ROCm enabled apps you will require a system with the full
 >ROCm driver stack installed

-##### Removing pre-release packages
-If you installed any of the ROCm pre-release packages from github, they will
-need to be manually un-installed:
+##### Using Debian-based ROCm with upstream kernel drivers
+
+As described in [the above section about upstream Linux kernel support](#rocm-support-in-upstream-linux-kernels), users may want to try installing ROCm user-level software without installing AMD's custom ROCK kernel driver.
+Users who do want to use upstream kernels can run the following commands instead of installing `rocm-dkms`

 ```shell
-sudo apt-get purge libhsakmt
+sudo apt update
+sudo apt install rocm-dev
+echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee /etc/udev/rules.d/70-kfd.rules
 ```
+
+#### CentOS/RHEL 7 (7.6) Support
+
+The following directions show how to install ROCm on supported RPM-based systems such as CentOS 7.6.
+These directions may not work as written on unsupported RPM-based distributions.
+For example, Fedora may work but may not be compatible with the `rock-dkms` kernel driver.
+As such, users may want to skip the `rocm-dkms` and `rock-dkms` packages, as described [above](#rocm-binary-package-structure), and instead [use the upstream kernel driver](#using-rpm-based-rocm-with-upstream-kernel-drivers).
+
+Support for CentOS/RHEL 7 was added in ROCm 1.8, but ROCm requires a special
+runtime environment provided by the RHEL Software Collections and additional
+dkms support packages to properly install and run.
+
+##### Preparing RHEL 7 (7.6) for installation
+
+RHEL is a subscription-based operating system, and you must enable several external
+repositories to enable installation of the devtoolset-7 environment and the DKMS
+support files. These steps are not required for CentOS.
+
+First, the subscription for RHEL must be enabled and attached to a pool id. Please
+see Obtaining an RHEL image and license page for instructions on registering your
+system with the RHEL subscription server and attaching to a pool id.
+
+
+Second, enable the following repositories:
+
 ```shell
-for package in $(dpkg -l | grep 'kfd\|rocm' | grep linux | grep -v libc | awk '{print $2}');do
-    echo "=== Removing $package ==="
-    sudo apt-get purge $package
-done
+sudo subscription-manager repos --enable rhel-server-rhscl-7-rpms
+sudo subscription-manager repos --enable rhel-7-server-optional-rpms
+sudo subscription-manager repos --enable rhel-7-server-extras-rpms
 ```

-If possible, we would recommend starting with a fresh OS install.
+Third, enable additional repositories by downloading and installing the epel-release-latest-7 repository RPM:

-#### RPM repository - dnf (yum)
+```shell
+sudo rpm -ivh https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm
+```

-The RPM repository is still under construction but will be available soon.
+##### Install and setup Devtoolset-7

-#### Closed Source Components
-The ROCm platform relies on a few closed source components to provide legacy
-functionality like HSAIL finalization and debugging/profiling support. These
-components are only available through the ROCm repositories, and will either be
-deprecated or become open source components in the future. These components are
-made available in the following packages:
+To setup the Devtoolset-7 environment, follow the instructions on this page:
+
+https://www.softwarecollections.org/en/scls/rhscl/devtoolset-7/
+
+Note that devtoolset-7 is a Software Collections package, and it is not supported by AMD.
+
+##### Prepare CentOS/RHEL (7.6) for DKMS Install
+
+Installing kernel drivers on CentOS/RHEL 7.6 requires dkms tool being installed:
+
+```shell
+sudo yum install -y epel-release
+sudo yum install -y dkms kernel-headers-`uname -r` kernel-devel-`uname -r`
+```
+
+##### Installing ROCm on the system
+
+It is recommended to [remove previous ROCm installations](https://github.com/RadeonOpenCompute/ROCm#how-to-uninstall-rocm-from-centosrhel-76) before installing the latest version to ensure a smooth installation.
+
+At this point ROCm can be installed on the target system. Create a /etc/yum.repos.d/rocm.repo file with the following contents:
+
+```shell
+[ROCm]
+name=ROCm
+baseurl=http://repo.radeon.com/rocm/yum/rpm
+enabled=1
+gpgcheck=0
+```
+
+The repo's URL should point to the location of the repositories repodata database. Install ROCm components using these commands:
+
+```shell
+sudo yum install rocm-dkms
+```
+
+The rock-dkms component should be installed and the `/dev/kfd` device should be available on reboot.
+
+##### Set up permissions
+
+Ensure that your user account is a member of the "video" or "wheel" group prior to using the ROCm driver.
+You can find which groups you are a member of with the following command:
+
+```shell
+groups
+```
+
+To add yourself to the video (or wheel) group you will need the sudo password and can use the
+following command:
+
+```shell
+sudo usermod -a -G video $LOGNAME
+```
+
+You may want to ensure that any future users you add to your system are put into the "video" group by default. To do that, you can run the following commands:
+
+```shell
+echo 'ADD_EXTRA_GROUPS=1' | sudo tee -a /etc/adduser.conf
+echo 'EXTRA_GROUPS=video' | sudo tee -a /etc/adduser.conf
+```
+
+Current release supports CentOS/RHEL 7.6. If users want to update the OS version, they should completely remove ROCm packages before updating to the latest version of the OS, to avoid DKMS related issues.
+
+Once complete, reboot your system.
+
+###### Test basic ROCm installation
+
+After rebooting the system run the following commands to verify that the ROCm installation was successful. If you see your GPUs listed by both of these commands, you should be ready to go!
+
+```shell
+/opt/rocm/bin/rocminfo
+/opt/rocm/opencl/bin/x86_64/clinfo
+```
+
+Note that, to make running ROCm programs easier, you may wish to put the ROCm binaries in your PATH.
+
+```shell
+echo 'export PATH=$PATH:/opt/rocm/bin:/opt/rocm/profiler/bin:/opt/rocm/opencl/bin/x86_64' | sudo tee -a /etc/profile.d/rocm.sh
+```
+
+If you have an [install issue](https://rocm.github.io/install_issues.html) please read this FAQ.
+
+###### Performing an OpenCL-only Installation of ROCm
+
+Some users may want to install a subset of the full ROCm installation.
+In particular, if you are trying to install on a system with a limited amount of storage space, or which will only run a small collection of known applications, you may want to install only the packages that are required to run OpenCL applications.
+To do that, you can run the following installation command **instead** of the command to install `rocm-dkms`.
+
+```shell
+sudo yum install rock-dkms rocm-opencl-devel
+```
+
+##### Compiling applications using HCC, HIP, and other ROCm software
+
+To compile applications or samples, please use gcc-7.2 provided by the devtoolset-7 environment.
+To do this, compile all applications after running this command:
+
+```shell
+scl enable devtoolset-7 bash
+```
+##### How to uninstall ROCm from CentOS/RHEL 7.6
+
+To uninstall the ROCm packages installed by the above directions, you can execute:
+
+```shell
+sudo yum autoremove rocm-dkms rock-dkms
+```
+
+##### Installing development packages for cross compilation
+
+It is often useful to develop and test on different systems.
+For example, some development or build systems may not have an AMD GPU installed.
+In this scenario, you may prefer to avoid installing the ROCK kernel driver to your development system.
+
+In this case, install the development subset of packages:
+
+```shell
+sudo yum install rocm-dev
+```
+>**Note:** To execute ROCm enabled apps you will require a system with the full
+>ROCm driver stack installed
+
+##### Using ROCm with upstream kernel drivers
+
+As described in [the above section about upstream Linux kernel support](#rocm-support-in-upstream-linux-kernels), use
+rs may want to try installing ROCm user-level software without installing AMD's custom ROCK kernel driver.
+Users who do want to use upstream kernels can run the following commands instead of installing `rocm-dkms`
+
+```shell
+sudo yum install rocm-dev
+echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee /etc/udev/rules.d/70-kfd.rules
+```
+
+### Known issues / workarounds
+
+#### rocprofiler --hiptrace and --hsatrace fails to load roctracer library
+In ROCm 2.7, rocprofiler --hiptrace and --hsatrace fails to load roctracer library.  
+The workaround is to create two links under '/opt/rocm':
+$ ln -s /opt/rocm/roctracer/lib/libroctracer64.so /opt/rocm/rocprofiler/lib/libroctracer64.so
+$ ln -s /opt/rocm/roctracer/tool/libtracer_tool.so /opt/rocm/rocprofiler/tool/libtracer_tool.so
+
+
+#### rocFFT unit tests - memory access fault
+Known failure with some power-of-2 size transforms in 1D real FFTs. This issue has been fixed in master branch of public rocFFT repo: https://github.com/ROCmSoftwarePlatform/rocFFT
+
+### Closed source components
+
+The ROCm platform relies on a few closed source components to provide functionality
+such as HSA image support. These components are only available through the ROCm
+repositories, and they will either be deprecated or become open source components in the
+future. These components are made available in the following packages:

 *  hsa-ext-rocr-dev

-### Getting ROCm Source Code
-Modifications can be made to the ROCm 1.0 components by modifying the open
-source code base and rebuilding the components. Source code can be cloned from
-each of the GitHub repositories using git, or users can use the repo command
-and the ROCm 1.0 manifest file to download the entire ROCm 1.0 source code.
+### Getting ROCm source code
+
+ROCm is built from open source software.
+As such, it is possible to make modifications to the various components of ROCm by downloading the source code, making modifications to it, and rebuilding the components.
+The source code for ROCm components can be cloned from each of the GitHub repositories using git.
+In order to make it easier to download the correct versions of each of these tools, this ROCm repository contains a [repo](https://gerrit.googlesource.com/git-repo/) manifest file, [default.xml](default.xml).
+Interested users can thus use this manifest file to download the source code for all of the ROCm software.

 #### Installing repo
-Google's repo tool allows you to manage multiple git repositories
-simultaneously. You can install it by executing the following commands:
+
+Google's repo tool allows you to manage multiple git repositories simultaneously.
+You can install it by executing the following example commands:

 ```shell
+mkdir -p ~/bin/
 curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo
 chmod a+x ~/bin/repo
 ```
-Note: make sure ~/bin exists and it is part of your PATH
+Note that you can choose a different folder to install repo into if you desire. `~/bin/` is simply used as an example.
+
+#### Downloading the ROCm source code
+
+The following example shows how to use the `repo` binary downloaded above to download all of the ROCm source code.
+If you chose a directory other than `~/bin/` to install `repo`, you should use that directory below.

-#### Cloning the code
 ```shell
-mkdir ROCm && cd ROCm
-repo init -u https://github.com/RadeonOpenCompute/ROCm.git -b roc-1.0.0
+mkdir -p ~/ROCm/
+cd ~/ROCm/
+~/bin/repo init -u https://github.com/RadeonOpenCompute/ROCm.git -b roc-2.7.0
 repo sync
 ```

-These series of commands will pull all of the open source code associated with
-the ROCm 1.0 release.
+This will cause repo to download all of the open source code associated with this ROCm release.
+You may want to ensure that you have ssh-keys configured on your machine for your GitHub ID.
+
+#### Building the ROCm source code
+
+Each ROCm component repository contains directions for building that component.
+As such, you should go to the repository you are interested in building to find how to build it.
+
+That said, AMD also offers [a project](https://github.com/RadeonOpenCompute/Experimental_ROC) that demonstrates how to download, build, package, and install ROCm software on various distributions.
+The scripts here may be useful for anyone looking to build ROCm components.
+
+#### Deprecation Notice
+
+### HCC
+AMD is deprecating HCC to put more focus on HIP development and on
+other languages supporting heterogeneous compute.  We will no longer
+develop any new feature in HCC. We will stop maintaining HCC after
+its final release, which is planned for the end of 2019.  If your
+application was developed with the hc C++ API, we would encourage you
+to transition it to other languages supported by AMD, such as HIP or
+OpenCL.  HIP and hc languages share the same compiler technology, so
+many hc kernel language features (including inline assembly) are also
+available through the HIP compilation path.
+
+### hipThrust
+hip-thrust has been removed in ROCm2.7.
+
+
+### Final notes
+* OpenCL Runtime and Compiler will be submitted to the Khronos Group for conformance testing prior to its final release.
--- a/default.xml
+++ b/default.xml
@@ -1,23 +1,74 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <manifest>

-    <remote name="llvm.org"
-            fetch="http://llvm.org/git/" />
    <remote name="roc-github"
-            fetch="https://github.com/RadeonOpenCompute/" />
-    <remote name="pctools-github"
-            fetch="https://github.com/GPUOpen-ProfessionalCompute-Tools/" />
+            fetch="http://github.com/RadeonOpenCompute/" />
+    <remote name="rocm-devtools"
+            fetch="https://github.com/ROCm-Developer-Tools/" />
+    <remote name="rocm-swplat"
+            fetch="https://github.com/ROCmSoftwarePlatform/" />
+    <remote name="gpuopen-libs"
+            fetch="https://github.com/GPUOpen-ProfessionalCompute-Libraries/" />
+    <remote name="gpuopen-tools"
+            fetch="https://github.com/GPUOpen-Tools/" />

-    <default revision="refs/tags/roc-1.0.0"
+    <default revision="refs/tags/roc-2.7.0"
             remote="roc-github"
+             sync-c="true"
             sync-j="4" />

-    <project path="llvm" remote="llvm.org" name="llvm" revision="master" />
-    <project path="llvm/tools/lld" remote="llvm.org" name="lld" revision="master" />
-    <project path="hcc" name="hcc" />
-    <project path="ROCT-Thunk-Interface" name="ROCT-Thunk-Interface" />
-    <project path="ROCR-Runtime" name="ROCR-Runtime" />
-    <project path="HIP" remote="pctools-github" name="HIP" />
-    <project path="HIP-Examples" remote="pctools-github" name="HIP-Examples" />
+    <project name="ROCK-Kernel-Driver" />
+    <project name="ROCT-Thunk-Interface" />
+    <project name="ROCR-Runtime" />
+    <project name="ROC-smi" />
+    <project name="rocm-cmake" revision="master-rocm-2.7" />
+    <project name="rocminfo" />
+    <project name="rocprofiler" remote="rocm-devtools" revision="refs/tags/roc-2.6.0"/>
+    <project name="roctracer" remote="rocm-devtools" revision="roc-2.7.x"/>
+    <!-- If you want to get the full OpenCL runtime, there is a separate repo
+         manifest that is more authoritative than the copy in this file. It can
+         be found at the following URL:
+         https://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/blob/roc-2.0.0/opencl.xml -->
+    <remote name="KhronosGroup" fetch="https://github.com/KhronosGroup/" />
+    <project name="ROCm-OpenCL-Runtime" />
+    <project path="ROCm-OpenCL-Runtime/compiler/driver" name="ROCm-OpenCL-Driver"/>
+    <project path="ROCm-OpenCL-Runtime/compiler/llvm" name="llvm" revision="refs/tags/roc-ocl-2.7.0" />
+    <project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/clang" name="clang" />
+    <project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/lld" name="lld" revision="refs/tags/roc-ocl-2.7.0" />
+    <project path="ROCm-OpenCL-Runtime/library/amdgcn" name="ROCm-Device-Libs" revision="refs/tags/roc-ocl-2.7.0" />
+    <project path="ROCm-OpenCL-Runtime/api/opencl/khronos/icd" name="OpenCL-ICD-Loader" remote="KhronosGroup" revision="261c1288aadd9dcc4637aca08332f603e6c13715" />
+
+    <project name="clang-ocl" />
+    <!-- HCC needs to be recursively synced to get it submodules -->
+    <project name="hcc" sync-s="true" revision="refs/tags/roc-hcc-2.7.0" />
+    <project name="HCC-Example-Application" remote="rocm-devtools" revision="ffd6533305e79eed667badd3c4cdb7879a1281b8" />
+    <project name="HIP" remote="rocm-devtools" />
+    <project name="HIP-Examples" remote="rocm-devtools" />
+    <!-- The following projects are all associated with the AMDGPU LLVM compiler -->
+    <project name="llvm" path="llvm_amd-common" revision="refs/tags/roc-ocl-2.7.0" />
+    <project name="lld" path="llvm_amd-common/lld" revision="refs/tags/roc-ocl-2.7.0" />
+    <project name="clang" path="llvm_amd-common/clang" />
+    <project name="ROCm-Device-Libs" revision="refs/tags/roc-ocl-2.7.0" />
+    <project name="atmi" revision="refs/tags/rocm_2.7.0" />
+    <project name="ROCm-CompilerSupport" />
+    <project name="rocr_debug_agent" remote="rocm-devtools" />
+    <project name="rocm_bandwidth_test" />
+    <project name="RCP" remote="gpuopen-tools" revision="3a49405a1500067c49d181844ec90aea606055bb" />
+
+    <!-- ROCm Libraries -->
+    <project name="rocBLAS" remote="rocm-swplat" revision="refs/tags/rocm-2.7" />
+    <project name="hipBLAS" remote="rocm-swplat" revision="refs/tags/rocm-2.7" />
+    <project name="rocFFT" remote="rocm-swplat" revision="refs/tags/rocm-2.7" />
+    <project name="rocRAND" remote="rocm-swplat" revision="refs/tags/rocm-2.7" />
+    <project name="rocSPARSE" remote="rocm-swplat" revision="refs/tags/rocm-2.7" />
+    <project name="hipSPARSE" remote="rocm-swplat" revision="refs/tags/rocm-2.7" />
+    <project name="rocALUTION" remote="rocm-swplat" revision="refs/tags/rocm-2.7" />
+    <project name="MIOpenGEMM" remote="rocm-swplat" revision="9547fb9e8499a5a9f16da83b1e6b749de82dd9fb" />
+    <project name="MIOpen" remote="rocm-swplat" revision="refs/tags/roc-2.7.0" />
+    <project name="rocm_smi_lib" />
+    <project name="rccl" remote="rocm-swplat" revision="refs/tags/2.7.0" />
+    <project name="MIVisionX" remote="gpuopen-libs" revision="refs/tags/1.3.0" />
+    <project name="rocThrust" remote="rocm-swplat" revision="refs/tags/rocm-2.7" />
+    <project name="hipCUB" remote="rocm-swplat" revision="refs/tags/rocm-2.7" />

 </manifest>
--- a/version_history.md
+++ b/version_history.md
@@ -0,0 +1,351 @@
+## ROCm Version History
+This file contains archived version history information for the [ROCm project](https://github.com/RadeonOpenCompute/ROCm)
+
+### Current ROCm Version: 2.7
+- [New features and enhancements in ROCm 2.6](#new-features-and-enhancements-in-rocm-26)
+- [New features and enhancements in ROCm 2.5](#new-features-and-enhancements-in-rocm-25)
+- [New features and enhancements in ROCm 2.4](#new-features-and-enhancements-in-rocm-24)
+- [New features and enhancements in ROCm 2.3](#new-features-and-enhancements-in-rocm-23)
+- [New features and enhancements in ROCm 2.2](#new-features-and-enhancements-in-rocm-22)
+- [New features and enhancements in ROCm 2.1](#new-features-and-enhancements-in-rocm-21)
+- [New features and enhancements in ROCm 2.0](#new-features-and-enhancements-in-rocm-20)
+- [New features and enhancements in ROCm 1.9.2](#new-features-and-enhancements-in-rocm-192)
+- [New features and enhancements in ROCm 1.9.2](#new-features-and-enhancements-in-rocm-192-1)
+- [New features and enhancements in ROCm 1.9.1](#new-features-and-enhancements-in-rocm-191)
+- [New features and enhancements in ROCm 1.9.0](#new-features-and-enhancements-in-rocm-190)
+- [New features as of ROCm 1.8.3](#new-features-as-of-rocm-183)
+- [New features as of ROCm 1.8](#new-features-as-of-rocm-18)
+- [New Features as of ROCm 1.7](#new-features-as-of-rocm-17)
+- [New Features as of ROCm 1.5](#new-features-as-of-rocm-15)
+
+
+### New features and enhancements in ROCm 2.6
+
+#### ROCmInfo enhancements
+ROCmInfo was extended to do the following:
+For ROCr API call errors including initialization determine if the error could be explained by:
+- ROCk (driver) is not loaded / available
+- User does not have membership in appropriate group - "video"
+- If not above print the error string that is mapped to the returned error code
+- If no error string is available, print the error code in hex
+
+#### Thrust - Functional Support on Vega20
+ROCm2.6 contains the first official release of rocThrust and hipCUB. rocThrust is a port of thrust, a parallel algorithm library. hipCUB is a port of CUB, a reusable software component library. Thrust/CUB has been ported to the HIP/ROCm platform to use the rocPRIM library. The HIP ported library works on HIP/ROCm platforms.
+
+Note: rocThrust and hipCUB library replaces https://github.com/ROCmSoftwarePlatform/thrust (hip-thrust), i.e. hip-thrust has been separated into two libraries, rocThrust and hipCUB. Existing hip-thrust users are encouraged to port their code to rocThrust and/or hipCUB. Hip-thrust will be removed from official distribution later this year.
+
+#### MIGraphX v0.3
+MIGraphX optimizer adds support to read models frozen from Tensorflow framework. Further details and an example usage at https://github.com/ROCmSoftwarePlatform/AMDMIGraphX/wiki/Getting-started:-using-the-new-features-of-MIGraphX-0.3
+
+#### MIOpen 2.0
+- This release contains several new features including an immediate mode for selecting convolutions, bfloat16 support, new layers, modes, and algorithms.
+- MIOpenDriver, a tool for benchmarking and developing kernels is now shipped with MIOpen.
+BFloat16 now supported in HIP requires an updated rocBLAS as a GEMM backend.
+- Immediate mode API now provides the ability to quickly obtain a convolution kernel.
+- MIOpen now contains HIP source kernels and implements the ImplicitGEMM kernels. This is a new feature and is currently disabled by default. Use the environmental variable "MIOPEN_DEBUG_CONV_IMPLICIT_GEMM=1" to activation this feature. ImplicitGEMM requires an up to date HIP version of at least 1.5.9211.
+- A new "loss" catagory of layers has been added, of which, CTC loss is the first. See the API reference for more details.
+2.0 is the last release of active support for gfx803 architectures. In future releases, MIOpen will not actively debug and develop new features specifically for gfx803.
+- System Find-Db in memory cache is disabled by default. Please see build instructions to enable this feature.
+Additional documentation can be found here: https://rocmsoftwareplatform.github.io/MIOpen/doc/html/
+
+#### Bloat16 software support in rocBLAS/Tensile
+Added mixed precision bfloat16/IEEE f32 to gemm_ex. The input and output matrices are bfloat16. All arithmetic is in IEEE f32.
+
+#### AMD Infinity Fabric™ Link enablement
+The ability to connect four Radeon Instinct MI60 or Radeon Instinct MI50 boards in two hives or two Radeon Instinct MI60 or Radeon Instinct MI50 boards in four hives via AMD Infinity Fabric™ Link GPU interconnect technology has been added.
+
+#### ROCm-smi features and bug fixes
+  - mGPU & Vendor check
+  - Fix clock printout if DPM is disabled
+  - Fix finding marketing info on CentOS
+  - Clarify some error messages
+
+#### ROCm-smi-lib enhancements
+- Documentation updates
+- Improvements to *name_get functions
+
+#### RCCL2 Enablement
+RCCL2 supports collectives intranode communication using PCIe, Infinity Fabric™, and pinned host memory, as well as internode communication using Ethernet (TCP/IP sockets) and Infiniband/RoCE (Infiniband Verbs).  Note: For Infiniband/RoCE, RDMA is not currently supported.
+
+#### rocFFT enhancements
+- Added: Debian package with FFT test, benchmark, and sample programs
+- Improved: hipFFT interfaces
+- Improved: rocFFT CPU reference code, plan generation code and logging code
+
+### New features and enhancements in ROCm 2.5
+
+#### UCX 1.6 support
+Support for UCX version 1.6 has been added.
+
+#### BFloat16 GEMM in rocBLAS/Tensile
+Software support for BFloat16 on Radeon Instinct MI50, MI60 has been added.  This includes:
+- Mixed precision GEMM with BFloat16 input and output matrices, and all arithmetic in IEEE32 bit
+- Input matrix values are converted from BFloat16 to IEEE32 bit, all arithmetic and accumulation is IEEE32 bit. Output values are rounded from IEEE32 bit to BFloat16
+- Accuracy should be correct to 0.5 ULP
+
+#### ROCm-SMI enhancements
+CLI support for querying the memory size, driver version, and firmware version has been added to ROCm-smi.
+
+#### [PyTorch] multi-GPU functional support (CPU aggregation/Data Parallel)
+Multi-GPU support is enabled in PyTorch using Dataparallel path for versions of PyTorch built using the 06c8aa7a3bbd91cda2fd6255ec82aad21fa1c0d5 commit or later.
+
+#### rocSparse optimization on Radeon Instinct MI50 and MI60
+This release includes performance optimizations for csrsv routines in the rocSparse library.
+
+#### [Thrust] Preview
+Preview release for early adopters. rocThrust is a port of thrust, a parallel algorithm library. Thrust has been ported to the HIP/ROCm platform to use the rocPRIM library. The HIP ported library works on HIP/ROCm platforms.
+
+Note: This library will replace https://github.com/ROCmSoftwarePlatform/thrust in a future release. The package for rocThrust (this library) currently conflicts with version 2.5 package of thrust. They should not be installed together.
+
+#### Support overlapping kernel execution in same HIP stream
+HIP API has been enhanced to allow independent kernels to run in parallel on the same stream.
+
+#### AMD Infinity Fabric&#x2122; Link enablement
+The ability to connect four Radeon Instinct MI60 or Radeon Instinct MI50 boards in one hive via AMD Infinity Fabric™ Link GPU interconnect technology has been added.
+### New features and enhancements in ROCm 2.4
+
+#### TensorFlow 2.0 support
+ROCm 2.4 includes the enhanced compilation toolchain and a set of bug fixes to support TensorFlow 2.0 features natively
+
+#### AMD Infinity Fabric&#x2122; Link enablement
+ROCm 2.4 adds support to connect two Radeon Instinct MI60 or Radeon Instinct MI50 boards via AMD Infinity Fabric&#x2122; Link GPU interconnect technology.
+
+### New features and enhancements in ROCm 2.3
+
+#### Mem usage per GPU
+Per GPU memory usage is added to rocm-smi.
+Display information regarding used/total bytes for VRAM, visible VRAM and GTT, via the --showmeminfo flag
+
+#### MIVisionX, v1.1 - ONNX
+ONNX parser changes to adjust to new file formats
+
+#### MIGraphX, v0.2
+MIGraphX 0.2 supports the following new features:
+* New Python API
+* Support for additional ONNX operators and fixes that now enable a large set of Imagenet models
+* Support for RNN Operators
+* Support for multi-stream Execution
+* [Experimental] Support for Tensorflow frozen protobuf files
+
+See: [Getting-started:-using-the-new-features-of-MIGraphX-0.2](https://github.com/ROCmSoftwarePlatform/AMDMIGraphX/wiki/Getting-started:-using-the-new-features-of-MIGraphX-0.2) for more details
+
+#### MIOpen, v1.8 - 3d convolutions and int8
+* This release contains full 3-D convolution support and int8 support for inference.
+* Additionally, there are major updates in the performance database for major models including those found in Torchvision.
+
+See: [MIOpen releases](https://github.com/ROCmSoftwarePlatform/MIOpen/releases)
+
+#### Caffe2 -  mGPU support
+Multi-gpu support is enabled for Caffe2.
+
+#### rocTracer library, ROCm tracing API for collecting runtimes API and asynchronous GPU activity traces
+HIP/HCC domains support is introduced in rocTracer library.
+
+#### BLAS -  Int8 GEMM performance, Int8 functional and performance
+Introduces support and performance optimizations for Int8 GEMM, implements TRSV support, and includes improvements and optimizations with Tensile.
+
+#### Prioritized L1/L2/L3 BLAS (functional)
+Functional implementation of BLAS L1/L2/L3 functions
+
+#### BLAS - tensile optimization
+Improvements and optimizations with tensile
+
+#### MIOpen Int8 support
+Support for int8
+
+### New features and enhancements in ROCm 2.2
+
+#### rocSparse Optimization on Vega20
+Cache usage optimizations for csrsv (sparse triangular solve), coomv
+(SpMV in COO format) and ellmv (SpMV in ELL format) are available.
+
+#### DGEMM and DTRSM Optimization
+Improved DGEMM performance for reduced matrix sizes (k=384, k=256)
+
+#### Caffe2
+Added support for multi-GPU training
+
+### New features and enhancements in ROCm 2.1
+
+#### RocTracer v1.0 preview release – 'rocprof' HSA runtime tracing and statistics support -
+Supports HSA API tracing and HSA asynchronous GPU activity including kernels execution and memory copy
+
+#### Improvements to ROCM-SMI tool -
+Added support to show real-time PCIe bandwidth usage via the -b/--showbw flag
+
+#### DGEMM Optimizations -
+Improved DGEMM performance for large square and reduced matrix sizes (k=384, k=256)
+
+### New features and enhancements in ROCm 2.0
+
+#### Adds support for RHEL 7.6 / CentOS 7.6 and Ubuntu 18.04.1
+
+#### Adds support for Vega 7nm, Polaris 12 GPUs
+
+#### Introduces MIVisionX
+* A comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.
+
+#### Improvements to ROCm Libraries
+* rocSPARSE & hipSPARSE
+* rocBLAS with improved DGEMM efficiency on Vega 7nm
+
+#### MIOpen
+* This release contains general bug fixes and an updated performance database
+* Group convolutions backwards weights performance has been improved
+* RNNs now support fp16
+
+#### Tensorflow multi-gpu and Tensorflow FP16 support for Vega 7nm
+* TensorFlow v1.12 is enabled with fp16 support
+
+#### PyTorch/Caffe2 with Vega 7nm Support
+* fp16 support is enabled
+* Several bug fixes and performance enhancements
+* Known Issue: breaking changes are introduced in ROCm 2.0 which are not addressed upstream yet. Meanwhile, please continue to use ROCm fork at https://github.com/ROCmSoftwarePlatform/pytorch
+
+#### Improvements to ROCProfiler tool
+* Support for Vega 7nm
+
+#### Support for hipStreamCreateWithPriority
+* Creates a stream with the specified priority. It creates a stream on which enqueued kernels have a different priority for execution compared to kernels enqueued on normal priority streams. The priority could be higher or lower than normal priority streams.
+
+#### OpenCL 2.0 support
+* ROCm 2.0 introduces full support for kernels written in the OpenCL 2.0 C language on certain devices and systems.  Applications can detect this support by calling the “clGetDeviceInfo” query function with “parame_name” argument set to “CL_DEVICE_OPENCL_C_VERSION”.  In order to make use of OpenCL 2.0 C language features, the application must include the option “-cl-std=CL2.0” in options passed to the runtime API calls responsible for compiling or building device programs.  The complete specification for the OpenCL 2.0 C language can be obtained using the following link: https://www.khronos.org/registry/OpenCL/specs/opencl-2.0-openclc.pdf
+
+#### Improved Virtual Addressing (48 bit VA) management for Vega 10 and later GPUs
+* Fixes Clang AddressSanitizer and potentially other 3rd-party memory debugging tools with ROCm
+* Small performance improvement on workloads that do a lot of memory management
+* Removes virtual address space limitations on systems with more VRAM than system memory
+
+#### Kubernetes support
+
+### New features and enhancements in ROCm 1.9.2
+#### RDMA(MPI) support on Vega 7nm
+* Support ROCnRDMA based on Mellanox InfiniBand
+
+#### Improvements to HCC
+* Improved link time optimization
+
+#### Improvements to ROCProfiler tool
+* General bug fixes and implemented versioning APIs
+
+### New features and enhancements in ROCm 1.9.2
+#### RDMA(MPI) support on Vega 7nm
+* Support ROCnRDMA based on Mellanox InfiniBand
+
+#### Improvements to HCC
+* Improved link time optimization
+
+#### Improvements to ROCProfiler tool
+* General bug fixes and implemented versioning APIs
+
+#### Critical bug fixes
+
+### New features and enhancements in ROCm 1.9.1
+#### Added DPM support to Vega 7nm
+* Dynamic Power Management feature is enabled on Vega 7nm.
+
+#### Fix for 'ROCm profiling' that used to fail with a “Version mismatch between HSA runtime and libhsa-runtime-tools64.so.1” error
+
+### New features and enhancements in ROCm 1.9.0
+
+#### Preview for Vega 7nm
+* Enables developer preview support for Vega 7nm
+
+#### System Management Interface
+* Adds support for the ROCm SMI (System Management Interface) library, which provides monitoring and management capabilities for AMD GPUs.
+
+#### Improvements to HIP/HCC
+* Support for gfx906
+* Added deprecation warning for C++AMP.  This will be the last version of HCC supporting C++AMP.
+* Improved optimization for global address space pointers passing into a GPU kernel
+* Fixed several race conditions in the HCC runtime
+* Performance tuning to the unpinned copy engine
+* Several codegen enhancement fixes in the compiler backend
+
+#### Preview for rocprof Profiling Tool
+Developer preview (alpha) of profiling tool rocProfiler. It includes a command-line front-end, `rpl_run.sh`, which enables:
+* Cmd-line tool for dumping public per kernel perf-counters/metrics and kernel timestamps
+* Input file with counters list and kernels selecting parameters
+* Multiple counters groups and app runs supported
+* Output results in CSV format
+
+The tool can be installed from the `rocprofiler-dev` package. It will be installed into: `/opt/rocm/bin/rpl_run.sh`
+
+#### Preview for rocr Debug Agent rocr_debug_agent
+The ROCr Debug Agent is a library that can be loaded by ROCm Platform Runtime to provide the following functionality:
+* Print the state for wavefronts that report memory violation or upon executing a "s_trap 2" instruction.
+* Allows SIGINT (`ctrl c`) or SIGTERM (`kill -15`) to print wavefront state of aborted GPU dispatches.
+* It is enabled on Vega10 GPUs on ROCm1.9.
+
+The ROCm1.9 release will install the ROCr Debug Agent library at `/opt/rocm/lib/librocr_debug_agent64.so`
+
+
+#### New distribution support
+
+* Binary package support for Ubuntu 18.04
+
+#### ROCm 1.9 is ABI compatible with KFD in upstream Linux kernels.
+Upstream Linux kernels support the following GPUs in these releases:
+4.17: Fiji, Polaris 10, Polaris 11
+4.18: Fiji, Polaris 10, Polaris 11, Vega10
+
+Some ROCm features are not available in the upstream KFD:
+* More system memory available to ROCm applications
+* Interoperability between graphics and compute
+* RDMA
+* IPC
+
+To try ROCm with an upstream kernel, install ROCm as normal, but do not install the rock-dkms package. Also add a udev rule to control `/dev/kfd` permissions:
+
+```
+    echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee /etc/udev/rules.d/70-kfd.rules
+```
+
+### New features as of ROCm 1.8.3
+
+* ROCm 1.8.3 is a minor update meant to fix compatibility issues on Ubuntu releases running kernel 4.15.0-33
+
+### New features as of ROCm 1.8
+
+#### DKMS driver installation
+
+ * Debian packages are provided for DKMS on Ubuntu
+ * RPM packages are provided for CentOS/RHEL 7.4 and 7.5 support
+ * See the [ROCT-Thunk-Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-1.8.x) and [ROCK-Kernel-Driver](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/tree/roc-1.8.x) for additional documentation on driver setup
+
+#### New distribution support
+
+ * Binary package support for Ubuntu 16.04 and 18.04
+ * Binary package support for CentOS 7.4 and 7.5
+ * Binary package support for RHEL 7.4 and 7.5
+
+#### Improved OpenMPI via UCX support
+
+ * UCX support for OpenMPI
+ * ROCm RDMA
+
+### New Features as of ROCm 1.7
+
+#### DKMS driver installation
+
+ * New driver installation uses Dynamic Kernel Module Support (DKMS)
+ * Only amdkfd and amdgpu kernel modules are installed to support AMD hardware
+ * Currently only Debian packages are provided for DKMS (no Fedora suport available)
+ * See the [ROCT-Thunk-Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-1.7.x) and [ROCK-Kernel-Driver](https://github.com/RadeonOpenCompute/ROCK-Kernel-Driver/tree/roc-1.7.x) for additional documentation on driver setup
+
+### New Features as of ROCm 1.5
+
+#### Developer preview of the new OpenCL 1.2 compatible language runtime and compiler
+
+ * OpenCL 2.0 compatible kernel language support with OpenCL 1.2 compatible
+   runtime
+ * Supports offline ahead of time compilation today;
+   during the Beta phase we will add in-process/in-memory compilation.
+
+#### Binary Package support for Ubuntu 16.04
+
+#### Binary Package support for Fedora 24 is not currently available
+
+#### Dropping binary package support for Ubuntu 14.04, Fedora 23
+
+#### IPC support