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Microscaling Data Formats for Deep Learning.

B. Rouhani, R. Zhao, A. More, M. Hall, A. Khodamoradi, S. Deng, D. Choudhary, M. Cornea, E. Dellinger, K. Denolf, D. Stosic, V. Elango, M. Golub, A. Heinecke, P. James-Roxby, D. Jani, G. Kolhe, M. Langhammer, A. Li, L. Melnick, M. Mesmakhosroshahi, A. Rodriguez, M. Schulte, R. Shafipour, L. Shao, M. Siu, P. Dubey, P. Micikevicius, M. Naumov, C. Verilli, R. Wittig, D. Burger, and E. Chung. CoRR, (2023)

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Mathew Hall

Rebecca Mathew

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Mathew Mandapathil

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Extending Data Flow Architectures for Convolutional Neural Networks to Multiple FPGAs.M. Ibrahim, Z. Zhao, M. Hall, and V. Betz. ICFPT, page 132-141. IEEE, (2023)With Shared Microexponents, A Little Shifting Goes a Long Way.B. Rouhani, R. Zhao, V. Elango, R. Shafipour, M. Hall, M. Mesmakhosroshahi, A. More, L. Melnick, M. Golub, G. Varatkar and 12 other author(s). ISCA, page 83:1-83:13. ACM, (2023)HPIPE: Heterogeneous Layer-Pipelined and Sparse-Aware CNN Inference for FPGAs.M. Hall, and V. Betz. CoRR, (2020)Microscaling Data Formats for Deep Learning.B. Rouhani, R. Zhao, A. More, M. Hall, A. Khodamoradi, S. Deng, D. Choudhary, M. Cornea, E. Dellinger, K. Denolf and 23 other author(s). CoRR, (2023)End-to-End FPGA-based Object Detection Using Pipelined CNN and Non-Maximum Suppression.A. Anupreetham, M. Ibrahim, M. Hall, A. Boutros, A. Kuzhively, A. Mohanty, E. Nurvitadhi, V. Betz, Y. Cao, and J. sun Seo. FPL, page 76-82. IEEE, (2021)Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs.A. Boutros, M. Hall, N. Papernot, and V. Betz. FPT, page 103-111. IEEE, (2020)Shared Microexponents: A Little Shifting Goes a Long Way.B. Rouhani, R. Zhao, V. Elango, R. Shafipour, M. Hall, M. Mesmakhosroshahi, A. More, L. Melnick, M. Golub, G. Varatkar and 12 other author(s). CoRR, (2023)From TensorFlow Graphs to LUTs and Wires: Automated Sparse and Physically Aware CNN Hardware Generation.M. Hall, and V. Betz. FPT, page 56-65. IEEE, (2020)HPIPE NX: Boosting CNN Inference Acceleration Performance with AI-Optimized FPGAs.M. Stan, M. Hall, M. Ibrahim, and V. Betz. FPT, page 1-9. IEEE, (2022)High Throughput FPGA-Based Object Detection via Algorithm-Hardware Co-Design.A. Anupreetham, M. Ibrahim, M. Hall, A. Boutros, A. Kuzhively, A. Mohanty, E. Nurvitadhi, V. Betz, Y. Cao, and J. Seo. ACM Trans. Reconfigurable Technol. Syst., 17 (1): 1:1-1:20 (March 2024)

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Disambiguation of "Hall, Mathew"

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Microscaling Data Formats for Deep Learning.

Please choose a person to relate this publication to

Mathew Hall

Rebecca Mathew

Stanley Mathew

Mathew Joseph

Mathew Mandapathil

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hall, Mathew"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Microscaling Data Formats for Deep Learning.

Please choose a person to relate this publication to

Mathew Hall

Rebecca Mathew

Stanley Mathew

Mathew Joseph

Mathew Mandapathil

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Microscaling Data Formats for Deep Learning.