Ben Sander
3.4 KiB
Release notes
Since this is an early access release and we are still in development towards the production ready version Boltzmann Driver and runtime we recommend this release be used for research and early application development.
We have attempted to document known bugs and limitations - in particular the HIP Kernel Language document uses the phrase "Under Development", and the HIP Runtime API bug list lists known bugs. Some of the key items we are working on:
- Async memory copies.
- hipStream support.
- Multi-GPU
- Shared-scope atomic operations. (due to compiler limitation, shared-scope map atomics map to global)
- Tuning built-in functions, including shfl.
- Performance optimization.
Stay tuned - the work for many of these features is already in-flight.
Next:
- Refactor HIP make and install system:
- Move to CMake.
- Split source into multiple modular .cpp and .h files.
- Create static library and link.
- Set HIP_PATH to install.
- Make hipDevice and hipStream thread-safe.
- Prefered hipStream usage is still to create new streams for each new thread, but it works even if you don;t.
- Improve automated platform detection: If AMD GPU is installed and detected by driver, default HIP_PLATFORM to hcc.
- HIP_TRACE_API now prints arguments to the HIP function (in addition to name of function).
- Deprecate hipDeviceGetProp (Replace with hipGetDeviceProp)
- Deprecate hipMallocHost (Replace with hipHostMalloc)
- Deprecate hipFreeHost (Replace with hipHostFree)
- The mixbench benchmark tool for measuring operational intensity now has a HIP target, in addition to CUDA and OpenCL. Let the comparisons begin. :)
See here for more : https://github.com/ekondis/mixbench.
Revision History:
=================================================================================================== Release:0.82.00 Date: 2016.03.07
- Bump minimum required HCC workweek to 16074.
- Bump minimum required ROCK-Kernel-Driver and ROCR-Runtime to Developer Preview 2.
- Enable multi-GPU support.
- Use hipSetDevice to select a device for subsequent kernel calls and memory allocations.
- CUDA_VISIBLE_DEVICES / HIP_VISIBLE_DEVICE environment variable selects devices visible to the runtime.
- Support hipStreams – send sequences of copy and kernel commands to a device.
- Asynchronous copies supported.
- Optimize memory copy operations.
- Support hipPointerGetAttribute – can determine if a pointer is host or device.
- Enable atomics to local memory.
- Support for LC Direct-To-ISA path.
- Improved free memory reporting.
- hipMemGetInfo (report full memory used in current process).
- hipDeviceReset (deletes all memory allocated by current process).
=================================================================================================== Release:0.80.01 Date: 2016.02.18
- Improve reporting and support for device-side math functions.
- Update Runtime Documentation.
- Improve implementations of cross-lane operations (_ballot, _any, _all).
- Provide shuffle intrinsics (performance optimization in-progress).
- Support hipDeviceAttribute for querying "one-shot" device attributes, as an alternative to hipGetDeviceProperties.
=================================================================================================== Release:0.80.00 : Date: 2016.01.25
Initial release with GPUOpen Launch.