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Releases: ROCm/rocBLAS

rocBLAS 2.42.0 for ROCm 5.0.0

09 Feb 20:30
60c5f03
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Added

  • Added rocblas_get_version_string_size convenience function
  • Added rocblas_xtrmm_outofplace, an out-of-place version of rocblas_xtrmm
  • Added hpl and trig initialization for gemm_ex to rocblas-bench
  • Added source code gemm. It can be used as an alternative to Tensile for debugging and development
  • Added option ROCM_MATHLIBS_API_USE_HIP_COMPLEX to opt-in to use hipFloatComplex and hipDoubleComplex

Optimizations

  • Improved performance of non-batched and batched single-precision GER for size m > 1024. Performance enhanced by 5-10% measured on a MI100 (gfx908) GPU.
  • Improved performance of non-batched and batched HER for all sizes and data types. Performance enhanced by 2-17% measured on a MI100 (gfx908) GPU.

Changed

  • Instantiate templated rocBLAS functions to reduce size of librocblas.so
  • Removed static library dependency on msgpack
  • Removed boost dependencies for clients

Fixed

  • Option to install script to build only rocBLAS clients with a pre-built rocBLAS library
  • Correctly set output of nrm2_batched_ex and nrm2_strided_batched_ex when given bad input
  • Fix for dgmm with side == rocblas_side_left and a negative incx
  • Fixed out-of-bounds read for small trsm
  • Fixed numerical checking for tbmv_strided_batched

rocBLAS 2.41.0 for ROCm 4.5.2

10 Dec 19:19
337552f
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rocBLAS code for ROCm 4.5.2 is unchanged from rocBLAS for ROCm 4.5.0. The library was rebuilt for the updated ROCm 4.5.2 stack.

rocBLAS 2.41.0 for ROCm 4.5.0

27 Oct 21:25
337552f
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Optimizations

  • Improved performance of non-batched and batched syr for all sizes and data types
  • Improved performance of non-batched and batched hemv for all sizes and data types
  • Improved performance of non-batched and batched symv for all sizes and data types
  • Improved memory utilization in rocblas-bench, rocblas-test gemm functions, increasing possible runtime sizes.
  • Improved performance of non-batched and batched dot, dotc, and dot_ex for small n. e.g. sdot n <= 31000.
  • Improved performance of non-batched and batched trmv for all sizes and matrix types.
  • Improved performance of non-batched and batched gemv transpose case for all sizes and datatypes.
  • Improved performance of sger and dger for all sizes, in particular the larger dger sizes.
  • Improved performance of syrkx for for large size including those in rocBLAS Issue #1184.

Changed

  • Update from C++14 to C++17.
  • Packaging split into a runtime package (called rocblas) and a development package (called rocblas-dev for .deb packages, and rocblas-devel for .rpm packages). The development package depends on runtime. The runtime package suggests the development package for all supported OSes except CentOS 7 to aid in the transition. The suggests feature in packaging is introduced as a deprecated feature and will be removed in a future rocm release.

Fixed

  • For function geam avoid overflow in offset calculation.
  • For function syr avoid overflow in offset calculation.
  • For function gemv (Transpose-case) avoid overflow in offset calculation.
  • For functions ssyrk and dsyrk, allow conjugate-transpose case to match legacy BLAS. Behavior is the same as the transpose case.

rocBLAS 2.39.0 for ROCm 4.3.1

27 Aug 19:04
06d797d
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Fixed

  • CI testing/benchmark issues.

rocBLAS 2.39.0 for ROCm 4.3.0

30 Jul 22:51
8328dcc
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Optimizations

  • Improved performance of non-batched and batched rocblas_Xgemv for gfx908 when m <= 15000 and n <= 15000
  • Improved performance of non-batched and batched rocblas_sgemv and rocblas_dgemv for gfx906 when m <= 6000 and n <= 6000
  • Improved the overall performance of non-batched and batched rocblas_cgemv for gfx906

Changed

  • Internal use only APIs prefixed with rocblas_internal_ and deprecated to discourage use

rocBLAS-2.38.0 for ROCm 4.2.0

10 May 23:17
1d39833
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Added

  • Added option to install script to build only rocBLAS clients with a pre-built rocBLAS library
  • Supported gemm ext for unpacked int8 input layout on gfx908 GPUs
    • Added new flags rocblas_gemm_flags::rocblas_gemm_flags_pack_int8x4 to specify if using the packed layout
      • Set the rocblas_gemm_flags_pack_int8x4 when using packed int8x4, this should be always set on GPUs before gfx908.
      • For gfx908 GPUs, unpacked int8 is supported so no need to set this flag.
      • Notice the default flags 0 uses unpacked int8, this somehow changes the behaviour of int8 gemm from ROCm 4.1.0
  • Added a query function rocblas_query_int8_layout_flag to get the preferable layout of int8 for gemm by device

Optimizations

  • Improved performance of single precision copy, swap, and scal when incx == 1 and incy == 1.
  • Improved performance of single precision axpy when incx == 1, incy == 1 and batch_count =< 8192.
  • Improved performance of trmm.

Changed

  • Change cmake_minimum_required to VERSION 3.16.8

rocBLAS-2.36.0 for ROCm 4.1.0

23 Mar 01:18
93c8293
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Added

  • Added Numerical checking helper function to detect zero/NaN/Inf in the input and the output vectors of rocBLAS level 1 and 2 functions.
  • Added Numerical checking helper function to detect zero/NaN/Inf in the input and the output general matrices of rocBLAS level 2 and 3 functions.

Fixed

  • Fixed complex unit test bug caused by incorrect caxpy and zaxpy function signatures.
  • Make functions compliant with Legacy Blas for special values alpha == 0, k == 0, beta == 1, beta == 0.

Optimizations

  • Improved performance of single precision axpy_batched and axpy_strided_batched: batch_count >= 8192.

rocBLAS-2.32.0 for ROCm 4.0.0

18 Dec 15:22
cc18d25
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New Features

  • No new features

Known Issues

  • None

rocBLAS-2.32.0 for ROCm 3.10.0

30 Nov 17:02
cc18d25
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New Features

  • Improved performance of gemm_batched for NN, general m, n, k, small m, n, k

Known Issues

  • None

rocBLAS-2.30.0 for ROCm 3.9.0

27 Oct 20:13
91e553c
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New Features

  • Slight improvements to FP16 Megatron BERT performance on MI50
  • Improvements to FP16 Transformer performance on MI50
  • Slight improvements to FP32 Transformer performance on MI50

Known Issues

  • None