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Generating Efficient Tensor Contractions for GPUs
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由 T Nelson 著作2015被引用 58 次 — In this paper, we map tensor computations to GPUs, starting with a high-level tensor input language and producing efficient CUDA code as output. Our approach is ...
有關 Generating Efficient Tensor Contractions for GPUs. 的學術文章 | |
Generating efficient tensor contractions for GPUs - Nelson - 58 個引述 High-performance tensor contractions for GPUs - Abdelfattah - 80 個引述 … generator for high-performance tensor contractions on … - Kim - 61 個引述 |
Generating Efficient Tensor Contractions for GPUs
Argonne National Laboratory (.gov)
https://www.mcs.anl.gov › papers
Argonne National Laboratory (.gov)
https://www.mcs.anl.gov › papers
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由 T Nelson 著作被引用 58 次 — In this paper, we map tensor computations to. GPUs, starting with a high-level tensor input language and producing efficient CUDA code as output. Our approach ...
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Generating Efficient Tensor Contractions for GPUs
IEEE Computer Society
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IEEE Computer Society
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由 T Nelson 著作2015被引用 58 次 — In this paper, we map tensor computations to GPUs, starting with a high-level tensor input language and producing efficient CUDA code as output. Our approach is ...
Generating Efficient Tensor Contractions for GPUs | Request PDF
ResearchGate
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Some works focused on accelerating specific tensor operations including tensor contraction [25, 26], factorization [27], transpose [28,29], and tensor-matrix ...
Generating efficient tensor contractions for GPUs
Oak Ridge National Laboratory (.gov)
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Oak Ridge National Laboratory (.gov)
https://impact.ornl.gov › publications
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In this paper, we map tensor computations to GPUs, starting with a high-level tensor input language and producing efficient CUDA code as output. Our approach is ...
A Code Generator for High-Performance Tensor Contractions ...
National Science Foundation (.gov)
https://par.nsf.gov › servlets › purl
National Science Foundation (.gov)
https://par.nsf.gov › servlets › purl
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由 J Kim 著作2019被引用 61 次 — A challenge in generating efficient GPU kernels for tensor contractions is to determine the tile sizes and mappings, which impact performance by determining.
Generating Efficient Tensor Contractions for GPUs (Conference)
OSTI.GOV (.gov)
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OSTI.GOV (.gov)
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Optimizing Tensor Contractions in CCSD(T) for Efficient Execution on GPUs · Fri Jun 15 00:00:00 EDT 2018 · Kim, Jinsung; ; A Code Generator for High-Performance ...
A Code Generator for High-Performance Tensor ...
IEEE Xplore
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IEEE Xplore
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由 J Kim 著作2019被引用 61 次 — Experimental evaluation using a set of tensor contraction benchmarks demonstrates performance improvement and/or significantly reduced code generation time over ...
Generating Efficient Tensor Contractions for GPUs
Argonne National Laboratory (.gov)
https://www.anl.gov › pub
Argonne National Laboratory (.gov)
https://www.anl.gov › pub
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Generating Efficient Tensor Contractions for GPUs ; Division. MCS ; Publication Year. 2015 ; Publication Type. Conference Paper ; DOI. 10.1109/ICPP.2015.106 ...
High-performance Tensor Contractions for GPUs
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由 A Abdelfattah 著作2016被引用 80 次 — Abstract. We present a computational framework for high-performance tensor contractions on GPUs. High-performance is difficult to obtain using existing ...
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