This file contains archived version history information for the ROCm project
- New features and enhancements in ROCm 2.0
- New features and enhancements in ROCm 1.9.2
- New features and enhancements in ROCm 1.9.2
- New features and enhancements in ROCm 1.9.1
- New features and enhancements in ROCm 1.9.0
- New features as of ROCm 1.8.3
- New features as of ROCm 1.8
- New Features as of ROCm 1.7
- New Features as of ROCm 1.5
- A comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.
- rocSPARSE & hipSPARSE
- rocBLAS with improved DGEMM efficiency on Vega 7nm
- This release contains general bug fixes and an updated performance database
- Group convolutions backwards weights performance has been improved
- RNNs now support fp16
- TensorFlow v1.12 is enabled with fp16 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
- Support for Vega 7nm
- 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.
- 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
- 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
- Support ROCnRDMA based on Mellanox InfiniBand
- Improved link time optimization
- General bug fixes and implemented versioning APIs
- Support ROCnRDMA based on Mellanox InfiniBand
- Improved link time optimization
- General bug fixes and implemented versioning APIs
- 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
- Enables developer preview support for Vega 7nm
- Adds support for the ROCm SMI (System Management Interface) library, which provides monitoring and management capabilities for AMD GPUs.
- 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
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
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
- Binary package support for Ubuntu 18.04
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
- ROCm 1.8.3 is a minor update meant to fix compatibility issues on Ubuntu releases running kernel 4.15.0-33
- 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
- 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
- UCX support for OpenMPI
- ROCm RDMA
- 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
- 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.