Maneesh Gupta
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RELEASE.md
docs/markdown/hip_faq.md
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# Release notes
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We have attempted to document known bugs and limitations - in particular the [HIP Kernel Language](docs/markdown/hip_kernel_language.md) document uses the phrase "Under Development", and the [HIP Runtime API bug list](http://gpuopen-professionalcompute-tools.github.io/HIP/bug.html) lists known bugs.
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Upcoming:
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- Stability: Enforce perioidic host synchronization to reclaim resources if the application has launched a large
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number of commands (>1K) without synchronizing.
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- Register keyword now silently ignored on HCC (previously would emit warning).
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- Doc updates: Add some more frequently asked questions to FAQ, fix TOC in some files, review.
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===================================================================================================
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## Revision History:
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===================================================================================================
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Release:0.92.00
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- hipLaunchKernel supports one-dimensional grid and/or block dims, without explicit cast to dim3 type (actually in 0.90.00)
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- fp16 software support
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- Support for Hawaii dGPUs using environment variable ROCM_TARGET=hawaii
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- Support hipArray
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- Improved profiler support
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- Documentation updates
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- Improvements to clang-hipify
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===================================================================================================
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Release:0.90.00
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Date: 2016.06.29
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- Support dynamic shared memory allocations
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- Min HCC compiler version is > 16186.
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- Expanded math functions (device and host). Document unsupported functions.
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- hipFree with null pointer initializes runtime and returns success.
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- Improve error code reporting on nvcc.
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- Add hipPeekAtError for nvcc.
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===================================================================================================
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Release:0.86.00
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Date: 2016.06.06
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- Add clang-hipify : clang-based hipify tool. Improved parsing of source code, and automates
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creation of hipLaunchParm variable.
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- Implement memory register / unregister commands (hipHostRegister, hipHostUnregister)
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- Add cross-linking support between G++ and HCC, in particular for interfaces that use
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standard C++ libraries (ie std::vectors, std::strings). HIPCC now uses libstdc++ by default on the HCC
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compilation path.
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- More samples including gpu-burn, SHOC, nbody, rtm. See [HIP-Examples](https://github.com/GPUOpen-ProfessionalCompute-Tools/HIP-Examples)
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===================================================================================================
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Release:0.84.01
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Date: 2016.04.25
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- Refactor HIP make and install system:
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- Move to CMake. Refer to the installation section in README.md for details.
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- Split source into multiple modular .cpp and .h files.
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- Create static library and link.
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- Set HIP_PATH to install.
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- Make hipDevice and hipStream thread-safe.
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- Prefered hipStream usage is still to create new streams for each new thread, but it works even if you don;t.
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- Improve automated platform detection: If AMD GPU is installed and detected by driver, default HIP_PLATFORM to hcc.
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- HIP_TRACE_API now prints arguments to the HIP function (in addition to name of function).
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- Deprecate hipDeviceGetProp (Replace with hipGetDeviceProp)
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- Deprecate hipMallocHost (Replace with hipHostMalloc)
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- Deprecate hipFreeHost (Replace with hipHostFree)
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- The mixbench benchmark tool for measuring operational intensity now has a HIP target, in addition to CUDA and OpenCL. Let the comparisons begin. :)
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See here for more : https://github.com/ekondis/mixbench.
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===================================================================================================
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Release:0.82.00
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Date: 2016.03.07
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- Bump minimum required HCC workweek to 16074.
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- Bump minimum required ROCK-Kernel-Driver and ROCR-Runtime to Developer Preview 2.
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- Enable multi-GPU support.
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* Use hipSetDevice to select a device for subsequent kernel calls and memory allocations.
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* CUDA_VISIBLE_DEVICES / HIP_VISIBLE_DEVICE environment variable selects devices visible to the runtime.
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- Support hipStreams – send sequences of copy and kernel commands to a device.
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* Asynchronous copies supported.
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- Optimize memory copy operations.
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- Support hipPointerGetAttribute – can determine if a pointer is host or device.
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- Enable atomics to local memory.
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- Support for LC Direct-To-ISA path.
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- Improved free memory reporting.
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* hipMemGetInfo (report full memory used in current process).
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* hipDeviceReset (deletes all memory allocated by current process).
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===================================================================================================
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Release:0.80.01
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Date: 2016.02.18
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- Improve reporting and support for device-side math functions.
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- Update Runtime Documentation.
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- Improve implementations of cross-lane operations (_ballot, _any, _all).
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- Provide shuffle intrinsics (performance optimization in-progress).
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- Support hipDeviceAttribute for querying "one-shot" device attributes, as an alternative to hipGetDeviceProperties.
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===================================================================================================
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Release:0.80.00
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Date: 2016.01.25
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Initial release with GPUOpen Launch.
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