Generic algorithms for scheduling applications on heterogeneous platforms
Author:
Affiliation:
1. Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG Grenoble France
2. Institute of Mathematics and StatisticsUniversity of São Paulo São Paulo Brazil
Funder
Fundação de Amparo à Pesquisa do Estado de São Paulo
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.4647
Reference22 articles.
1. Debunking the 100X GPU vs. CPU myth
2. TOP500 Supercomputer.http://www.top500.org. Accessed November 2017.
3. AmarisM LucarelliG MommessinC TrystramD.Generic algorithms for scheduling applications on hybrid multi‐core machines. Paper presented at: European Conference on Parallel Processing;2017;Santiago de Compostela Spain.
4. AmarisM deCamargoRY DyabM GoldmanA TrystramD.A comparison of GPU execution time prediction using machine learning and analytical modeling. Paper presented at: 2016 IEEE 15th International Symposium on Network Computing and Applications;2016;Cambridge MA.
5. Scheduling for Parallel Processing
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1. Makespan Minimization for Scheduling on Heterogeneous Platforms with Precedence Constraints;Lecture Notes in Computer Science;2024
2. Analysis of a List Scheduling Algorithm for Task Graphs on Two Types of Resources;2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2020-05
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