Pushing the Boundaries of Small Tasks: Scalable Low-Overhead Data-Flow Programming in TTG-Reference-Cited by-同舟云学术

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Pushing the Boundaries of Small Tasks: Scalable Low-Overhead Data-Flow Programming in TTG

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Cluster Computing (CLUSTER)
language:
Short-container-title:

Author:

Schuchart Joseph¹,Nookala Poornima²,Herault Thomas¹,Valeev Edward F.³,Bosilca George¹

Affiliation:

1. The University of Tennessee,Innovative Computing Laboratory,Knoxville,TN,USA

2. Institute for Advanced Computational Science, Stony Brook University Stony,Brook,NY,USA

3. Virginia Polytechnic Institute and State University,Department of Chemistry,Blacksburg,VA,USA

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9912642/9912651/09912704.pdf?arnumber=9912704

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2. BLQ: Light-Weight Locality-Aware Runtime for Blocking-Less Queuing;Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction;2024-02-17

3. Investigating Dependency Graph Discovery Impact on Task-based MPI+OpenMP Applications Performances;Proceedings of the 52nd International Conference on Parallel Processing;2023-08-07

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