fb335f6a5f
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.
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903 B
Markdown
57 lines
903 B
Markdown
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[README](/README.md#documentation) > **Contributors**
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# CUTLASS Developers and Contributors
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This is the official list of CUTLASS developers and contributors.
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## DEVELOPERS
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Andrew Kerr
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Haicheng Wu
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Naila Farooqui
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Dustyn Blasig
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Pradeep Ramani
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Manish Gupta
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Aditya Atluri
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Paul Springer
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David Tanner
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Scott Yokim
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Jin Wang
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## CONTRIBUTORS
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Timothy Costa
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Julien Demouth
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Brian Fahs
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Michael Goldfarb
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Mostafa Hagog
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Markus Hohnerbach
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Fei Hu
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Alan Kaatz
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Tina Li
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Timmy Liu
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Duane Merrill
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Kevin Siu
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Markus Tavenrath
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John Tran
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Vicki Wang
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Junkai Wu
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Fung Xie
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Albert Xu
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Jack Yang
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Xiuxia Zhang
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Nick Zhao
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## ACKNOWLEDGEMENTS
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Girish Bharambe
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Cris Cecka
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Luke Durant
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Olivier Giroux
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Stephen Jones
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Rishkul Kulkarni
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Bryce Lelbach
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Joel McCormack
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Kyrylo Perelygin
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