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CUDA Templates for Linear Algebra Subroutines

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Introduction

CUTLASS is a CUDA C++ template library for implementing matrix-multiply procedures that may be instantiated in CUDA device kernels. CUTLASS applies object-oriented and generic programming techniques to maximize flexibility of the resulting code and facilitate composition with caller-supplied functionality. CUDA C++ templates are used to specify policy decisions such as block sizes, data types of input and accumulator operands, and element-wise operations applied to the results of matrix multiply.

Project Structure

CUTLASS is arranged as a header-only library with several example test programs that demonstrate instantiating a GEMM task within a CUDA kernel. Comments inline with the source explain the individual components.

The repository is organized in the following arrangement.

cutlass/                Root of header-only source library for matrix multiply
  gemm/                 Implementation of GEMM __device__ code and supporting components
  util/                 Utility components for CUDA device-side CUDA development

A test program is provided to illustrate the use of CUTLASS. This is implemented in the following directory.

cutlass_test            Root of test programs depicting CUTLASS kernels
  util/                 Utilities
  gemm.cu               Simple example calling CUTLASS and CUBLAS GEMM kernels
  Makefile              Build script for test programs

Makefile usage

There are different sample targets for different GEMM data types and transposititions. Be sure to specify your target architecture.

make <sgemm|dgemm|hgemm|igemm|wgemm> sm=<60|61|70> \
  [transpose=<nn|nt|tn|tt>] [verbose=<0|1>] [keep=<0|1>]

Program usage

Program usage:

 <s|d|h|i|w>gemm_<nn|nt|tn|tt>
       [--help]
       [--schmoo || --m=<height> --n=<width> --k=<depth>]
       [--i=<timing iterations>]
       [--device=<device-id>]
       [--alpha=<alpha> --beta=<beta>]

About

CUTLASS is released by NVIDIA Corporation as Open Source software under the BSD license.

Copyright

Copyright (c) 2011-2017, NVIDIA CORPORATION. All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are not permitted.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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CUDA Templates for Linear Algebra Subroutines

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