A Portable, Fast, DCT-based Compressor for AI Accelerators-Reference-Cited by-同舟云学术

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A Portable, Fast, DCT-based Compressor for AI Accelerators

Published:2024-06-03 Issue: Volume: Page:109-121
ISSN:
Container-title:Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing
language:
Short-container-title:

Author:

Shah Milan¹^ORCID,Yu Xiaodong²^ORCID,Di Sheng³^ORCID,Becchi Michela⁴^ORCID,Cappello Franck³^ORCID

Affiliation:

1. North Carolina State University, Argonne National Laboratory, Raleigh, North Carolina, United States of America

2. Stevens Institute of Technology, Hoboken, New Jersey, United States of America

3. Argonne National Laboratory, Lemont, Illinois, United States of America

4. North Carolina State University, Raleigh, North Carolina, United States of America

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625549.3658662

Reference34 articles.

1. [n. d.]. CIFAR-10 and CIFAR-100 datasets. https://www.cs.toronto.edu/~kriz/cifar.html

2. [n. d.]. Explore Cerebras Documentation --- Cerebras Developer Documentation. https://docs.cerebras.net/en/latest/

3. [n. d.]. Graphcore Documents --- Graphcore Documents. https://docs.graphcore.ai/en/latest/

4. [n. d.]. JPEG - JPEG 1. https://jpeg.org/jpeg/index.html

5. [n. d.]. Product - System. https://www.cerebras.net/product-system/

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