Rethinking Erasure-Coding Libraries in the Age of Optimized Machine Learning

Author:

Hu Jiyu1ORCID,Kosaian Jack1ORCID,Rashmi K. V.1ORCID

Affiliation:

1. Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

Funder

VMware

Alfred P. Sloan Foundation

Publisher

ACM

Reference43 articles.

1. 2021. Intel Galois Field New Instructions (GFNI) Technology Guide. https://tinyurl.com/35w8pebx. Last accessed 12 December 2022.

2. 2021. Intel Intelligent Storage Acceleration Library. https://www.intel.com/content/www/us/en/developer/tools/isa-l/overview.html. Last accessed 17 September 2022.

3. 2024?. NVIDIA GPUDirect. https://developer.nvidia.com/gpudirect. Last accessed 28 May 2024.

4. Quentin Anthony and Donglai Dai. 2021. Evaluating Multi-Level Checkpointing for Distributed Deep Neural Network Training. In 2021 SC Workshops Supplementary Proceedings (SCWS 21).

5. David A Beckingsale, Jason Burmark, Rich Hornung, Holger Jones, William Killian, Adam J Kunen, Olga Pearce, Peter Robinson, Brian S Ryujin, and Thomas RW Scogland. 2019. RAJA: Portable Performance for Large-Scale Scientific Applications. In 2019 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC).

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