Performance Portability of Generated Cardiac Simulation Kernels Through Automatic Dimensioning and Load Balancing on Heterogeneous Nodes-Reference-Cited by-同舟云学术

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Performance Portability of Generated Cardiac Simulation Kernels Through Automatic Dimensioning and Load Balancing on Heterogeneous Nodes

Published:2024-05-27 Issue: Volume: Page:1006-1015
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Container-title:2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
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Author:

Alba Vincent¹,Aumage Olivier¹,Barthou Denis²,Colin Raphaël³,Counilh Marie-Christine¹,Genaud Stéphane³,Guermouche Amina¹,Loechner Vincent³,Thangamani Arun³

Affiliation:

1. University of Bordeaux, CNRS, Bordeaux INP, Inria,LaBRI,Talence,France

2. Bordeaux INP,Talence,France

3. University of Strasbourg, CNRS, Inria,ICube Lab.,Strasbourg,France

Funder

Inria

CNRS

IMB

Université de Bordeaux

French National Research Agency

State Secretariat for Education, Research and Innovation

Austrian Research Promotion Agency

Research Council of Norway

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10596331/10596332/10596410.pdf?arnumber=10596410

Reference28 articles.

1. StarPU: a unified platform for task scheduling on heterogeneous multicore architectures

2. A Dynamic Multi–Objective Approach for Dynamic Load Balancing in Heterogeneous Systems

3. Lattice Boltzmann method for parallel simulations of cardiac electrophysiology using GPUs

4. Performance Evaluation of Advanced Features in CUDA Unified Memory

5. Myokit: A simple interface to cardiac cellular electrophysiology

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