Performance prediction of parallel applications using artificial neuronal network and graph representation-Reference-Cited by-同舟云学术

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Performance prediction of parallel applications using artificial neuronal network and graph representation

Published:2022-11-20 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Chokri Soumia¹^ORCID,Baroud Sohaib¹^ORCID,Belhaous Safa¹^ORCID,Youssfi Mohamed¹^ORCID,Mestari Mohammed¹^ORCID

Affiliation:

1. Computer Science, Artificial Intelligence and Cyber Security Laboratory (L2IACS), ENSET Mohammedia Hassan II University of Casablanca Casablanca Morocco

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.7514

Reference36 articles.

1. Performance Prediction for Large-Scale Parallel Applications Using Representative Replay

2. Prediction of performance and processor requirements in real-time data flow architectures

3. Performance analysis of MPI parallel programs on Xen virtual machines;Xu J;IEEE HPCC/EUC,2013

4. Parallel Performance Problems on Shared-Memory Multicore Systems: Taxonomy and Observation

5. Amdahl's Law in the Multicore Era

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