Memory-Aware Scheduling of Tasks Sharing Data on Multiple GPUs with Dynamic Runtime Systems-Reference-Cited by-同舟云学术

Memory-Aware Scheduling of Tasks Sharing Data on Multiple GPUs with Dynamic Runtime Systems

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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Author:

Gonthier Maxime¹,Marchal Loris¹,Thibault Samuel²

Affiliation:

1. ENS-Lyon,France

2. University of Bordeaux,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9820609/9820610/09820704.pdf?arnumber=9820704

Reference21 articles.

1. Locality-aware task management for unstructured parallelism

2. Design and analysis of scheduling strategies for multi-CPU and multi-GPU architectures

3. The Data Locality of Work Stealing

4. Heuristics for scheduling file-sharing tasks on heterogeneous systems with distributed repositories

5. Locality-Aware Scheduling of Independent Tasks for Runtime Systems;gonthier;COLOC – 5th workshop on data locality – 27th International European Conference on Parallel and Distributed Computing,2021

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