Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform

Author:

Dhakal Aditya1ORCID,Raith Philipp2ORCID,Ward Logan3ORCID,Hong Enriquez Rolando P.4ORCID,Rattihalli Gourav1ORCID,Chard Kyle5ORCID,Foster Ian3ORCID,Milojicic Dejan1ORCID

Affiliation:

1. Hewlett Packard Labs, United States of America

2. Hewlett Packard Labs, Austria

3. Argonne National Laboratory, United States of America

4. Hewlett Packard Labs, United Kingdom

5. University of Chicago, United States of America

Publisher

ACM

Reference32 articles.

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2. Parsl

3. A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms

4. funcX: A Federated Function Serving Fabric for Science

5. Junguk Cho , Diman Zad Tootaghaj , Lianjie Cao , and Puneet Sharma . 2022 . SLA-Driven ML INFERENCE FRAMEWORK FOR CLOUDS WITH HETEROGENEOUS ACCELERATORS . In Proceedings of Machine Learning and Systems, D. Marculescu, Y. Chi, and C. Wu (Eds.). Vol. 4. 20–32 . https://proceedings.mlsys.org/paper_files/paper/2022/file/bcf9bef61a534d0ce4a3c55f09dfcc29-Paper.pdf Junguk Cho, Diman Zad Tootaghaj, Lianjie Cao, and Puneet Sharma. 2022. SLA-Driven ML INFERENCE FRAMEWORK FOR CLOUDS WITH HETEROGENEOUS ACCELERATORS. In Proceedings of Machine Learning and Systems, D. Marculescu, Y. Chi, and C. Wu (Eds.). Vol. 4. 20–32. https://proceedings.mlsys.org/paper_files/paper/2022/file/bcf9bef61a534d0ce4a3c55f09dfcc29-Paper.pdf

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