A ML-based runtime system for executing dataflow graphs on heterogeneous processors

Subho S. Banerjee, Arjun P. Athreya, Zbigniew Kalbarczyk, Steven Lumetta, Ravishankar K. Iyer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish (US)
Title of host publicationSoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing
PublisherAssociation for Computing Machinery, Inc
Number of pages1
ISBN (Electronic)9781450360111
DOIs
StatePublished - Oct 11 2018
Event2018 ACM Symposium on Cloud Computing, SoCC 2018 - Carlsbad, United States
Duration: Oct 11 2018Oct 13 2018

Publication series

NameSoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing

Other

Other2018 ACM Symposium on Cloud Computing, SoCC 2018
CountryUnited States
CityCarlsbad
Period10/11/1810/13/18

Keywords

  • Accelerator
  • FPGA
  • GPU
  • Genomics
  • Scheduling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

Cite this

Banerjee, S. S., Athreya, A. P., Kalbarczyk, Z., Lumetta, S., & Iyer, R. K. (2018). A ML-based runtime system for executing dataflow graphs on heterogeneous processors. In SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing (SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing). Association for Computing Machinery, Inc. https://doi.org/10.1145/3267809.3275474