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LogGen: A Parameterized Generator for Designing ...
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IEEE Xplore
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由 P Patel 著作2022被引用 1 次 — This paper presents an open-source, parameterized generator, called LogGen, for generating logarithm unit implementations optimized for smaller floating-point ...
LogGen: A Parameterized Generator for Designing Floating ...
The University of Texas at Austin
https://lca.ece.utexas.edu › pubs › ISQED22_Patel
The University of Texas at Austin
https://lca.ece.utexas.edu › pubs › ISQED22_Patel
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由 P Patel 著作被引用 1 次 — The experimental results show that LogGen designs can outperform commercial IPs. (Synopsys DesignWare, Xilinx) and open-source IPs (FloPoCo) in terms of area ...
A Parameterized Generator for Designing Floating-Point ...
ResearchGate
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ResearchGate
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Industrial Design · Designing. Conference Paper. LogGen: A Parameterized Generator for Designing Floating-Point Logarithm Units for Deep Learning. April 2022.
LogGen: A Parameterized Generator for Designing Floating ...
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An open-source, parameterized generator, called LogGen, for generating logarithm unit implementations optimized for smaller floating-point datatypes is ...
LogGen: A Parameterized Generator for Designing Floating ...
Elsevier
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Elsevier
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LogGen: A Parameterized Generator for Designing Floating-Point Logarithm Units for Deep Learning. Pragnesh Patel, Aman Arora, Earl Swartzlander, Lizy John.
LogGen: A Parameterized Generator for Designing Floating-Point ...
National Science Foundation (.gov)
https://par.nsf.gov › biblio › 10387275-...
National Science Foundation (.gov)
https://par.nsf.gov › biblio › 10387275-...
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This presentation poster summarizes the recruitment efforts, insights gained, and lessons learned through the VolsTeach for Appalachia project that focuses ...
Pragnesh Patel - LogGen ISQED'22 paper
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2022年5月30日 — In short, LogGen is an open-source, parameterized generator for generating logarithm unit implementations in Verilog that are optimized for ...
Pragnesh Patel
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LogGen: A Parameterized Generator for Designing Floating-Point Logarithm Units for Deep Learning. P Patel, A Arora, E Swartzlander, L John. 2022 23rd ...
Pragnesh Patel
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LogGen: A Parameterized Generator for Designing Floating-Point Logarithm Units for Deep Learning. P Patel, A Arora, E Swartzlander, L John. 2022 23rd ...
Research - Old - Advent Lab
Arizona State University
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Arizona State University
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Optimizing FPGA Architecture for Deep Learning Workloads. Highlights: Adding ... LogGen: A Parameterized Generator for Designing Floating-Point ...