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ROCm/version_history.md
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ROCm Version History

This file contains archived version history information for the ROCm project

Current ROCm Version: 2.6

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™ 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™ 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.

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 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

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 and ROCK-Kernel-Driver 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 and ROCK-Kernel-Driver 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

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