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CUTLASS 2.0 (#62)

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CUTLASS 2.0

Substantially refactored for

- Better performance, particularly for native Turing Tensor Cores
- Robust and durable templates spanning the design space
- Encapsulated functionality embodying modern C++11 programming techniques
- Optimized containers and data types for efficient, generic, portable device code

Updates to:
- Quick start guide
- Documentation
- Utilities
- CUTLASS Profiler

Native Turing Tensor Cores
- Efficient GEMM kernels targeting Turing Tensor Cores
- Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands

Coverage of existing CUTLASS functionality:
- GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs
- Volta Tensor Cores through native mma.sync and through WMMA API
- Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions
- Batched GEMM operations
- Complex-valued GEMMs

Note: this commit and all that follow require a host compiler supporting C++11 or greater.
This commit is contained in:
Andrew Kerr
2019-11-19 16:55:34 -08:00
committed by GitHub
parent b5cab177a9
commit fb335f6a5f
5434 changed files with 599799 additions and 250176 deletions
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docs/coord_8h.html
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<div id="projectbrief">CUDA Templates for Linear Algebra Subroutines and Solvers</div>
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<p>A Coord is a coordinate of arbitrary rank into a tensor or matrix.
<a href="#details">More...</a></p>
<div class="textblock"><code>#include &quot;<a class="el" href="cutlass_8h_source.html">cutlass/cutlass.h</a>&quot;</code><br />
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<tr class="memitem:a1b86c9f4140fcf8fa4810d6b3aa4cadf"><td class="memTemplParams" colspan="2">template&lt;typename T , int Rank, typename Index &gt; </td></tr>
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<tr class="memdesc:ad0544ac86101c8cf1f95b543972d74d1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Scalar division. <a href="namespacecutlass.html#ad0544ac86101c8cf1f95b543972d74d1">More...</a><br /></td></tr>
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<tr class="memitem:a6fd924146724c657faf4321eb14f7de0"><td class="memTemplParams" colspan="2">template&lt;int Rank, typename Index &gt; </td></tr>
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<tr class="memdesc:a6fd924146724c657faf4321eb14f7de0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Scalar division. <a href="namespacecutlass.html#a6fd924146724c657faf4321eb14f7de0">More...</a><br /></td></tr>
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<tr class="memitem:a9585f1fce373a9fa38177c7615d1b090"><td class="memTemplParams" colspan="2">template&lt;int Rank, typename Index &gt; </td></tr>
<tr class="memitem:a9585f1fce373a9fa38177c7615d1b090"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> Coord&lt; Rank, Index &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass.html#a9585f1fce373a9fa38177c7615d1b090">cutlass::operator/</a> (Coord&lt; Rank, Index &gt; coord, Index s)</td></tr>
<tr class="memdesc:a9585f1fce373a9fa38177c7615d1b090"><td class="mdescLeft">&#160;</td><td class="mdescRight">Scalar division. <a href="namespacecutlass.html#a9585f1fce373a9fa38177c7615d1b090">More...</a><br /></td></tr>
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