Exploiting CXL-based Memory for Distributed Deep Learning

Author:

Arif Moiz1,Assogba Kevin1,Rafique M. Mustafa1,Vazhkudai Sudharshan2

Affiliation:

1. Computer Science, Rochester Institute of Technology, United States of America

2. Micron Technology, Inc., United States of America

Funder

NSF (National Science Foundation)

Micron Technology

Publisher

ACM

Reference47 articles.

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3. 2022. Intel PCM. https://www.intel.com/content/www/us/en/developer/articles/technical/performance-counter-monitor.html 2022. Intel PCM. https://www.intel.com/content/www/us/en/developer/articles/technical/performance-counter-monitor.html

4. 2022. NVIDIA Data Loading Library (DALI). https://developer.nvidia.com/DALI 2022. NVIDIA Data Loading Library (DALI). https://developer.nvidia.com/DALI

5. 2022. OakRidge Learning Computing Facility (OLCF). https://www.olcf.ornl.gov/ 2022. OakRidge Learning Computing Facility (OLCF). https://www.olcf.ornl.gov/

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4. So Far and yet so Near - Accelerating Distributed Joins with CXL;Proceedings of the 20th International Workshop on Data Management on New Hardware;2024-06-09

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