Achieving High Performance on Supercomputers with a Sequential Task-based Programming Model-Reference-Cited by-同舟云学术

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Achieving High Performance on Supercomputers with a Sequential Task-based Programming Model

Published:2017 Issue: Volume: Page:1-1
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Agullo Emmanuel,Aumage Olivier,Faverge Mathieu,Furmento Nathalie,Pruvost Florent,Sergent Marc,Thibault Samuel Paul

Funder

ANR SOLHAR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/4359390/08226789.pdf?arnumber=8226789

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tracing task‐based runtime systems: Feedbacks from the StarPU case;Concurrency and Computation: Practice and Experience;2023-10-10

2. Umpalumpa: a framework for efficient execution of complex image processing workloads on heterogeneous nodes;Computing;2023-06-19

3. Task-based Parallel Programming for Scalable Matrix Product Algorithms;ACM Transactions on Mathematical Software;2023-06-15

4. Taming data locality for task scheduling under memory constraint in runtime systems;Future Generation Computer Systems;2023-06

5. Data Distribution Schemes for Dense Linear Algebra Factorizations on Any Number of Nodes;2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2023-05

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