Update default.xml (#789)

ROCm 2.4 tag update

README.md

@@ -2,15 +2,15 @@
 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 computationally oriented tasks in the Linux operating system.
 
-### Current ROCm Version: 2.0
+### Current ROCm Version: 2.4
 
+- [New features and enhancements in ROCm 2.4](#new-features-and-enhancements-in-rocm-24)
+- [The latest ROCm platform - ROCm 2.4](#the-latest-rocm-platform---rocm-240)
 - [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)
-- [New features and enhancements in ROCm 2.0](#new-features-and-enhancements-in-rocm-20)
-- [The latest ROCm platform - ROCm 2.0](#the-latest-rocm-platform---rocm-20)
-  * [Supported Operating Systems](#supported-operating-systems---new-operating-systems-available)
+- [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)
@@ -22,8 +22,72 @@ This software enables the high-performance operation of AMD GPUs for computation
   * [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)
 - [Final notes](#final-notes)
 
+### 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™ Link enablement 
+ROCm 2.4 adds support to connect two Radeon Instinct MI60 or Radeon Instinct MI50 boards via AMD Infinity Fabric™ Link GPU interconnect technology.
+
+Features and enhancements introduced in previous versions of ROCm can be found in [version_history.md](version_history.md)
+
+### The latest ROCm platform - ROCm 2.4
+
+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-2.4.0)
+  - [ROCr Runtime](https://github.com/RadeonOpenCompute/ROCR-Runtime/tree/84443a1)
+  - [ROCt Thunk Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-2.4.0)
+* ROCm Support Software
+  - [ROCm SMI](https://github.com/RadeonOpenCompute/ROC-smi/tree/roc-2.4.0)
+  - [ROCm cmake](https://github.com/RadeonOpenCompute/rocm-cmake/tree/ac45c6e2)
+  - [rocminfo](https://github.com/RadeonOpenCompute/rocminfo/tree/d34b716a)
+  - [ROCm Bandwidth Test](https://github.com/RadeonOpenCompute/rocm_bandwidth_test/tree/fe64704a)
+* ROCm Development Tools
+  - [HCC compiler](https://github.com/RadeonOpenCompute/hcc/tree/roc-2.4.0)
+  - [HIP](https://github.com/ROCm-Developer-Tools/HIP/tree/roc-2.4.0)
+  - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-2.4.0)
+  - ROCm OpenCL, which is created from the following components:
+    - [ROCm OpenCL Runtime](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/tree/roc-2.4.0)
+    - [ROCm OpenCL Driver](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Driver/tree/roc-2.4.0)
+    - The ROCm OpenCL compiler, which is created from the following components:
+      - [ROCm LLVM OCL](http://github.com/RadeonOpenCompute/llvm/tree/roc-ocl-2.4.0)
+      - [ROCm LLVM HCC](http://github.com/RadeonOpenCompute/llvm/tree/roc-hcc-2.4.0)
+      - [ROCm Clang](http://github.com/RadeonOpenCompute/clang/tree/roc-2.4.0)
+      - [ROCm lld OCL](http://github.com/RadeonOpenCompute/lld/tree/roc-ocl-2.4.0)
+      - [ROCm lld HCC](http://github.com/RadeonOpenCompute/lld/tree/roc-hcc-2.4.0)
+      - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-2.4.0)
+  - [ROCM Clang-OCL Kernel Compiler](https://github.com/RadeonOpenCompute/clang-ocl/tree/roc-2.4.0)
+  - [Asynchronous Task and Memory Interface (ATMI)](https://github.com/RadeonOpenCompute/atmi/tree/4dd14ad8)
+  - [ROCr Debug Agent](https://github.com/ROCm-Developer-Tools/rocr_debug_agent/tree/roc-2.4.0)
+  - [ROCm Code Object Manager](https://github.com/RadeonOpenCompute/ROCm-CompilerSupport/tree/roc-2.4.0)
+  - [ROC Profiler](https://github.com/ROCm-Developer-Tools/rocprofiler/tree/roc-2.4.x)
+  - [ROC Tracer](https://github.com/ROCm-Developer-Tools/roctracer/tree/roc-2.4.x)
+  - [Radeon Compute Profiler](https://github.com/GPUOpen-Tools/RCP/tree/a31fe682)
+  - 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-2.4.0)
+* ROCm Libraries
+  - [rocBLAS](https://github.com/ROCmSoftwarePlatform/rocBLAS/tree/master-rocm-2.4)
+  - [hipBLAS](https://github.com/ROCmSoftwarePlatform/hipBLAS/tree/master-rocm-2.4)
+  - [rocFFT](https://github.com/ROCmSoftwarePlatform/rocFFT/tree/master-rocm-2.4)
+  - [rocRAND](https://github.com/ROCmSoftwarePlatform/rocRAND/tree/master-rocm-2.4)
+  - [rocSPARSE](https://github.com/ROCmSoftwarePlatform/rocSPARSE/tree/master-rocm-2.4)
+  - [hipSPARSE](https://github.com/ROCmSoftwarePlatform/hipSPARSE/tree/master-rocm-2.4)
+  - [rocALUTION](https://github.com/ROCmSoftwarePlatform/rocALUTION/tree/master-rocm-2.4)
+  - [MIOpenGEMM](https://github.com/ROCmSoftwarePlatform/MIOpenGEMM/tree/9547fb9e)
+  - [MIOpen](https://github.com/ROCmSoftwarePlatform/MIOpen/tree/9fb1826d)
+  - [HIP Thrust](https://github.com/ROCmSoftwarePlatform/Thrust/tree/master-rocm-2.4)
+  - [ROCm SMI Lib](https://github.com/RadeonOpenCompute/rocm_smi_lib/tree/roc-2.4.0)
+  - [RCCL](https://github.com/ROCmSoftwarePlatform/rccl/tree/master-rocm-2.4)
+  - [MIVisionX](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/tree/f05574dc)
+  - [CUB HIP](https://github.com/ROCmSoftwarePlatform/cub-hip/tree/hip_port_1.7.4)
+
 ### 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.
@@ -40,7 +104,7 @@ ROCm officially supports AMD GPUs that use following chips:
     * "Polaris 12" chips, such as on the AMD Radeon RX 550 and Radeon RX 540
   * GFX9 GPUs
     * "Vega 10" chips, such as on the AMD Radeon RX Vega 64 and Radeon Instinct MI25
-    * "Vega 7nm" chips
+    * "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.
@@ -98,123 +162,29 @@ from the list provided above for compatibility purposes.
 #### Not supported or limited support under ROCm 
 ##### Limited support 
 
-* ROCm 2.0.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_.
+* ROCm 2.4.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 2.0, "Carrizo" and "Bristol Ridge" require the use of upstream kernel drivers.
+  * 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 2.0, "Raven Ridge" requires the use of upstream kernel drivers.
+  * 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 2.0.x
+* "Tonga", "Iceland", "Vega M", and "Vega 12" GPUs are not supported in ROCm 2.4.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.
 
-### New features and enhancements in ROCm 2.0
+### Supported Operating Systems - New operating systems available
 
-Features and enhancements introduced in previous versions of ROCm can be found in [version_history.md](version_history.md)
+The ROCm 2.4.x platform supports the following operating systems:
 
-#### 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
-
-### The latest ROCm platform - ROCm 2.0
-
-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-2.0.0)
-  - [ROCr Runtime](https://github.com/RadeonOpenCompute/ROCR-Runtime/tree/roc-2.0.0)
-  - [ROCt Thunk Interface](https://github.com/RadeonOpenCompute/ROCT-Thunk-Interface/tree/roc-2.0.0)
-* ROCm Support Software
-  - [ROCm SMI](https://github.com/RadeonOpenCompute/ROC-smi/tree/roc-2.0.0)
-  - [ROCm cmake](https://github.com/RadeonOpenCompute/rocm-cmake/tree/6240bb35)
-  - [rocminfo](https://github.com/RadeonOpenCompute/rocminfo/tree/1bb0ccc7)
-  - [ROCm Bandwidth Test](https://github.com/RadeonOpenCompute/rocm_bandwidth_test/tree/roc-2.0.0)
-* ROCm Development Tools
-  - [HCC compiler](https://github.com/RadeonOpenCompute/hcc/tree/roc-2.0.0)
-  - [HIP](https://github.com/ROCm-Developer-Tools/HIP/tree/roc-2.0.0)
-  - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-2.0.0)
-  - ROCm OpenCL, which is created from the following components:
-    - [ROCm OpenCL Runtime](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Runtime/tree/roc-2.0.0)
-    - [ROCm OpenCL Driver](http://github.com/RadeonOpenCompute/ROCm-OpenCL-Driver/tree/roc-2.0.0)
-    - The ROCm OpenCL compiler, which is created from the following components:
-      - [ROCm LLVM](http://github.com/RadeonOpenCompute/llvm/tree/roc-2.0.0)
-      - [ROCm Clang](http://github.com/RadeonOpenCompute/clang/tree/roc-2.0.0)
-      - [ROCm lld](http://github.com/RadeonOpenCompute/lld/tree/roc-2.0.0)
-      - [ROCm Device Libraries](https://github.com/RadeonOpenCompute/ROCm-Device-Libs/tree/roc-2.0.0)
-  - [ROCM Clang-OCL Kernel Compiler](https://github.com/RadeonOpenCompute/clang-ocl/tree/688fe5d9)
-  - [Asynchronous Task and Memory Interface (ATMI)](https://github.com/RadeonOpenCompute/atmi/tree/4dd14ad8)
-  - [ROCr Debug Agent](https://github.com/ROCm-Developer-Tools/rocr_debug_agent/tree/roc-2.0.0)
-  - [ROCm Code Object Manager](https://github.com/RadeonOpenCompute/ROCm-CompilerSupport/tree/roc-2.0.0)
-  - [ROC Profiler](https://github.com/ROCm-Developer-Tools/rocprofiler/tree/roc-2.0.0)
-  - [Radeon Compute Profiler](https://github.com/GPUOpen-Tools/RCP/tree/v5.6)
-  - 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-2.0.x)
-* ROCm Libraries
-  - [rocBLAS](https://github.com/ROCmSoftwarePlatform/rocBLAS/tree/v2.0.0)
-  - [hipBLAS](https://github.com/ROCmSoftwarePlatform/hipBLAS/tree/v0.12.1.0)
-  - [rocFFT](https://github.com/ROCmSoftwarePlatform/rocFFT/tree/v0.8.8)
-  - [rocRAND](https://github.com/ROCmSoftwarePlatform/rocRAND/tree/7278524e)
-  - [rocSPARSE](https://github.com/ROCmSoftwarePlatform/rocSPARSE/tree/v1.0.1)
-  - [hipSPARSE](https://github.com/ROCmSoftwarePlatform/hipSPARSE/tree/v1.0.2)
-  - [rocALUTION](https://github.com/ROCmSoftwarePlatform/rocALUTION/tree/v1.3.7)
-  - [MIOpenGEMM](https://github.com/ROCmSoftwarePlatform/MIOpenGEMM/tree/9547fb9e)
-  - [MIOpen](https://github.com/ROCmSoftwarePlatform/MIOpen/tree/1.7.0)
-  - [HIP Thrust](https://github.com/ROCmSoftwarePlatform/Thrust/tree/e0b8fe2a)
-  - [ROCm SMI Lib](https://github.com/RadeonOpenCompute/rocm_smi_lib/tree/roc-2.0.0)
-  - [RCCL](https://github.com/ROCmSoftwarePlatform/rccl/tree/0.7.1)
-  - [MIVisionX](https://github.com/GPUOpen-ProfessionalCompute-Libraries/MIVisionX/tree/1.0.0)
-  - [CUB HIP](https://github.com/ROCmSoftwarePlatform/cub-hip/tree/hip_port_1.7.4)
-
-#### Supported Operating Systems - New operating systems available
-
-The ROCm 2.0.x platform supports the following operating systems:
-
- * Ubuntu 16.04.x and 18.04.x (Version 16.04.3 and newer or kernels 4.13 and newer)
+ * Ubuntu 16.04.x, 18.04.1 and 18.04.2 (Version 16.04.3 and newer or kernels 4.13-4.15)
  * CentOS 7.4, 7.5, and 7.6 (Using devtoolset-7 runtime support)
  * RHEL 7.4, 7.5, and 7.6 (Using devtoolset-7 runtime support)
 
@@ -226,6 +196,7 @@ As such, users have the option of either using the ROCK kernel driver that are p
 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:
@@ -245,7 +216,7 @@ For users that have the option of using either AMD's or the upstreamed driver, t
 
 ### 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 2.0.x packages at this time.
+AMD hosts both [Debian](http://repo.radeon.com/rocm/apt/debian/) and [RPM](http://repo.radeon.com/rocm/yum/rpm/) repositories for the ROCm 2.4.x packages at this time.
 
 The packages in the Debian repository have been signed to ensure package integrity.
 
@@ -277,6 +248,7 @@ The packages for each of the major ROCm components are:
   - 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
   - rocBLAS: `rocblas`
@@ -394,7 +366,7 @@ To add yourself to the video group you will need the sudo password and can use t
 
 ```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:
 
@@ -412,7 +384,7 @@ After rebooting the system run the following commands to verify that the ROCm in
 ```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.
 
@@ -638,11 +610,16 @@ echo 'SUBSYSTEM=="kfd", KERNEL=="kfd", TAG+="uaccess", GROUP="video"' | sudo tee
 
 ### Known issues / workarounds
 
-#### HCC: removed support for C++AMP in ROCm 2.0
+#### MIOpen
+MIOpen unit test will fail at test_conv with the following error message –
+Memory access fault by GPU node-2 (Agent handle: 0x1fc0a10) on address 0x7fd3c3600000. Reason: Page not present or supervisor privilege
 
-#### HipCaffe is supported on single GPU configurations
+#### TensorFlow
+Observed memory access fault while running SAGAN TensorFlow model in Polaris based ASIC
+
+#### Vega7nm
+GPU reset is not currently supported with boards connected with AMD Infinity Fabric™ Link GPU interconnect technology.
 
-#### The ROCm SMI library calls to rsmi_dev_power_cap_set() and rsmi_dev_power_profile_set() will not work for all but the first gpu in multi-gpu set ups.
 
 ### Closed source components
 
@@ -681,7 +658,7 @@ If you chose a directory other than `~/bin/` to install `repo`, you should use t
 ```shell
 mkdir -p ~/ROCm/
 cd ~/ROCm/
-~/bin/repo init -u https://github.com/RadeonOpenCompute/ROCm.git -b roc-2.0.0
+~/bin/repo init -u https://github.com/RadeonOpenCompute/ROCm.git -b roc-2.4.0
 repo sync
 ```
 
@@ -696,5 +673,16 @@ As such, you should go to the repository you are interested in building to find
 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 and we will stop maintaining HCC after
+its final release, which is planned for June 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 language share the same compiler technology, so
+many hc kernel language features (including inline assembly) are also
+available through the HIP compilation path.
+
 ### Final notes
 * OpenCL Runtime and Compiler will be submitted to the Khronos Group for conformance testing prior to its final release.

default.xml

@@ -12,7 +12,7 @@
     <remote name="gpuopen-tools"
             fetch="https://github.com/GPUOpen-Tools/" />
 
-    <default revision="refs/tags/roc-2.0.0"
+    <default revision="refs/tags/roc-2.4.0"
              remote="roc-github"
              sync-c="true"
              sync-j="4" />
@@ -21,9 +21,10 @@
     <project name="ROCT-Thunk-Interface" />
     <project name="ROCR-Runtime" />
     <project name="ROC-smi" />
-    <project name="rocm-cmake" revision="6240bb35a3f6cc775b57561506b10e932130e20a" />
+    <project name="rocm-cmake" revision="ac45c6e269d1fd1dbd5dfc81cfe47a7452c96daf" />
     <project name="rocminfo" revision="1bb0ccc731f772bb1a553e37b41d06eb0a684926" />
     <project name="rocprofiler" remote="rocm-devtools" />
+    <project name="roctracer" remote="rocm-devtools" />
     <!-- 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:
@@ -31,21 +32,21 @@
     <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" />
+    <project path="ROCm-OpenCL-Runtime/compiler/llvm" name="llvm" revision="refs/tags/roc-ocl-2.4.0" />
     <project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/clang" name="clang" />
-    <project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/lld" name="lld" />
+    <project path="ROCm-OpenCL-Runtime/compiler/llvm/tools/lld" name="lld" revision="refs/tags/roc-ocl-2.4.0" />
     <project path="ROCm-OpenCL-Runtime/library/amdgcn" name="ROCm-Device-Libs"/>
     <project path="ROCm-OpenCL-Runtime/api/opencl/khronos/icd" name="OpenCL-ICD-Loader" remote="KhronosGroup" revision="261c1288aadd9dcc4637aca08332f603e6c13715" />
 
-    <project name="clang-ocl" revision="688fe5d98b3d6a06838f10d3a7db951c288c0f54" />
+    <project name="clang-ocl" />
     <!-- HCC needs to be recursively synced to get it submodules -->
     <project name="hcc" sync-s="true" />
     <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" />
-    <project name="lld" path="llvm_amd-common/lld" />
+    <project name="llvm" path="llvm_amd-common" revision="refs/tags/roc-hcc-2.4.0" />
+    <project name="lld" path="llvm_amd-common/lld" revision="refs/tags/roc-hcc-2.4.0" />
     <project name="clang" path="llvm_amd-common/clang" />
     <project name="ROCm-Device-Libs" />
     <project name="atmi" revision="4dd14ad8fafc64dc8f35b0646cfe84e3e36a3c64" />
@@ -55,18 +56,18 @@
     <project name="RCP" remote="gpuopen-tools" revision="refs/tags/v5.6" />
 
     <!-- ROCm Libraries -->
-    <project name="rocBLAS" remote="rocm-swplat" revision="refs/tags/v2.0.0" />
-    <project name="hipBLAS" remote="rocm-swplat" revision="refs/tags/v0.12.1.0" />
-    <project name="rocFFT" remote="rocm-swplat" revision="refs/tags/v0.8.8" />
-    <project name="rocRAND" remote="rocm-swplat" revision="7278524ea37f449795fdafcd0bf5307f61f06ba9" />
-    <project name="rocSPARSE" remote="rocm-swplat" revision="refs/tags/v1.0.1" />
-    <project name="hipSPARSE" remote="rocm-swplat" revision="refs/tags/v1.0.2" />
-    <project name="rocALUTION" remote="rocm-swplat" revision="refs/tags/v1.3.7" />
+    <project name="rocBLAS" remote="rocm-swplat" revision="refs/tags/rocm-2.4" />
+    <project name="hipBLAS" remote="rocm-swplat" revision="refs/tags/rocm-2.4" />
+    <project name="rocFFT" remote="rocm-swplat" revision="9a0d296ce91889a4ac549adeac045604f040af92" />
+    <project name="rocRAND" remote="rocm-swplat" revision="687d659a294f416c69dd6e860a8ded939e55c22a" />
+    <project name="rocSPARSE" remote="rocm-swplat" revision="refs/tags/rocm-2.4" />
+    <project name="hipSPARSE" remote="rocm-swplat" revision="refs/tags/rocm-2.4" />
+    <project name="rocALUTION" remote="rocm-swplat" revision="refs/tags/rocm-2.4" />
     <project name="MIOpenGEMM" remote="rocm-swplat" revision="9547fb9e8499a5a9f16da83b1e6b749de82dd9fb" />
-    <project name="MIOpen" remote="rocm-swplat" revision="refs/tags/1.7.0" />
-    <project name="Thrust" remote="rocm-swplat" revision="e0b8fe2af3d345fb85689011140a20ff46fb610d" sync-s="true" />
+    <project name="MIOpen" remote="rocm-swplat" revision="refs/tags/roc-2.3.0" />
+    <project name="Thrust" remote="rocm-swplat" revision="a58d8d783c05202bd3fa7732c2af62362198112e" sync-s="true" />
     <project name="rocm_smi_lib" />
-    <project name="rccl" remote="rocm-swplat" revision="refs/tags/0.7.1" />
-    <project name="MIVisionX" remote="gpuopen-libs" revision="refs/tags/1.0.0" />
+    <project name="rccl" remote="rocm-swplat" revision="refs/tags/0.7.5" />
+    <project name="MIVisionX" remote="gpuopen-libs" revision="f05574dc81b861cce7431153b9502718e79e0647" />
     <project name="cub-hip" remote="rocm-swplat" revision="hip_port_1.7.4" />
 </manifest>

version_history.md

@@ -1,7 +1,10 @@
 ## ROCm Version History
 This file contains archived version history information for the [ROCm project](https://github.com/RadeonOpenCompute/ROCm)
 
-### Current ROCm Version: 2.0
+### Current ROCm Version: 2.4
+- [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)
@@ -12,6 +15,72 @@ This file contains archived version history information for the [ROCm project](h
 - [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 2.3
+
+#### 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
@@ -185,3 +254,4 @@ To try ROCm with an upstream kernel, install ROCm as normal, but do not install
 #### Dropping binary package support for Ubuntu 14.04, Fedora 23
  
 #### IPC support 
+