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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/functions_vars_f.html
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<title>Cutlass: Class Members - Variables</title>
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@@ -26,8 +28,9 @@
<table cellspacing="0" cellpadding="0">
<tbody>
<tr style="height: 56px;">
<td id="projectlogo"><img alt="Logo" src="cutlass-logo-small.png"/></td>
<td id="projectalign" style="padding-left: 0.5em;">
<div id="projectname">Cutlass
<div id="projectname">CUTLASS
</div>
<div id="projectbrief">CUDA Templates for Linear Algebra Subroutines and Solvers</div>
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@@ -36,22 +39,78 @@
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<li><a href="functions.html"><span>All</span></a></li>
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<li><a href="functions_type.html"><span>Typedefs</span></a></li>
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<li><a href="functions_vars_c.html#index_c"><span>c</span></a></li>
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<li><a href="functions_vars_t.html#index_t"><span>t</span></a></li>
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@@ -70,27 +129,14 @@ $(function() {
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&#160;
<h3><a id="index_f"></a>- f -</h3><ul>
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: <a class="el" href="structcutlass_1_1gemm_1_1SharedLoadStream.html#a8ae6f60b5fb3642542a6cb833d83c8e4">cutlass::gemm::SharedLoadStream&lt; Iterator_, Transformer_ &gt;</a>
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: <a class="el" href="structcutlass_1_1gemm_1_1GlobalLoadStream.html#a1c117b87024937f1dc3da128795b6e03">cutlass::gemm::GlobalLoadStream&lt; Operand, LoadIterator_, StoreIterator_, Transformer_ &gt;</a>
, <a class="el" href="structcutlass_1_1TileLoadStream.html#a89b0f92764b5492a8d1de2c1ada60869">cutlass::TileLoadStream&lt; Iterator_, Transformer_ &gt;</a>
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<li>first
: <a class="el" href="structcutlass_1_1platform_1_1Pair.html#a0eed7c99e9385ff2877b03ab71efca48">cutlass::platform::Pair&lt; T1, T2 &gt;</a>
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: <a class="el" href="structcutlass_1_1gemm_1_1GemmEpilogue.html#a5aa254702fcf24630e04ceb174aa3d57">cutlass::gemm::GemmEpilogue&lt; GemmEpilogueTraits_ &gt;</a>
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, <a class="el" href="structcutlass_1_1reduction_1_1BatchedReduction.html#a0f6b38c1b3a5800e6f29d9a2c6c1928d">cutlass::reduction::BatchedReduction&lt; BatchedReductionTraits_ &gt;</a>
: <a class="el" href="structcutlass_1_1reduction_1_1BatchedReduction.html#a0f6b38c1b3a5800e6f29d9a2c6c1928d">cutlass::reduction::BatchedReduction&lt; BatchedReductionTraits_ &gt;</a>
</li>
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: <a class="el" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a11e54597165b66e3054c6b9f43210760">cutlass::reduction::BatchedReductionTraits&lt; ScalarA_, ScalarC_, ScalarD_, ScalarAlphaBeta_, ScalarAccum_, ReductionSize_, OutputTile_, SubTile_, ThreadShape_, Index_, BlockSwizzle_, maxInReg_, maxOutReg_, Functor_ &gt;::Params</a>
@@ -99,9 +145,9 @@ $(function() {
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