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CUTLASS 2.5

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Andrew Kerr
2021-02-26 09:58:26 -05:00
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README.md
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![ALT](/media/images/gemm-hierarchy-with-epilogue-no-labels.png "Complete CUDA GEMM decomposition")
# CUTLASS 2.4
# CUTLASS 2.5
_CUTLASS 2.4 - November 2020_
_CUTLASS 2.5 - February 2021_
CUTLASS is a collection of CUDA C++ template abstractions for implementing
high-performance matrix-multiplication (GEMM) at all levels and scales within CUDA.
@@ -34,12 +34,18 @@ See the [Quick Start Guide](/media/docs/quickstart.md) to get started quickly.
See the [functionality listing](/media/docs/functionality.md) for the list of operations
supported at each level of the execution model hierarchy.
# What's New in CUTLASS 2.5
CUTLASS 2.5 is a minor update to CUTLASS adding:
- Tensor reductions
- Fused inlined operations on Convolution input
- Optimizations for 3-D convolution
- See the [CHANGELOG](CHANGELOG.md) for more details
# What's New in CUTLASS 2.4
CUTLASS 2.4 is a significant update to CUTLASS adding:
- 1-D, 2-D, and 3-D convolution targeting Tensor and CUDA cores for NVIDIA Ampere, Turing, and Volta GPU architectures
- CUTLASS profiler support for convolution
- [Documentation](/media/docs/implicit_gemm_convolution.md) describing Implicit GEMM Convolution algorithm and implementation
- See the [CHANGELOG](CHANGELOG.md) for more details.
# What's New in CUTLASS 2.3
@@ -47,7 +53,6 @@ CUTLASS 2.3 is a minor update to CUTLASS adding:
- GEMMs targeting structured [Sparse Tensor Cores](test/unit/gemm/device/gemm_f16n_f16n_f32t_tensor_op_f32_sparse_sm80.cu) in NVIDIA Ampere Architecture GPUs
- Fast SGEMM kernels targeting GeForce RTX 30-series CUDA Cores
- Intended to be compiled with [CUDA 11.1 Toolkit](https://developer.nvidia.com/cuda-toolkit)
- See the [CHANGELOG](CHANGELOG.md) for more details.
# What's New in CUTLASS 2.2
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# Copyright
Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
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Redistribution and use in source and binary forms, with or without modification, are permitted