Parallel Application Performance Prediction Using Analysis Based Models and HPC Simulations

Author:

Obaida Mohammad Abu1,Liu Jason1,Chennupati Gopinath2,Santhi Nandakishore2,Eidenbenz Stephan2

Affiliation:

1. Florida International University, Miami, FL, USA

2. Los Alamos National Laboratory, Los Alamos, NM, USA

Funder

USF/FC2

National Science Foundation

Publisher

ACM

Cited by 14 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. Evaluating HPC Job Run Time Predictions Using Application Input Parameters;Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems;2023-06-27

2. Relative Performance Projection on Arm Architectures;Euro-Par 2022: Parallel Processing;2022

3. Hybrid, scalable, trace-driven performance modeling of GPGPUs;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2021-11-13

4. Parallel I/O Evaluation Techniques and Emerging HPC Workloads: A Perspective;2021 IEEE International Conference on Cluster Computing (CLUSTER);2021-09

5. PPT-Multicore: performance prediction of OpenMP applications using reuse profiles and analytical modeling;The Journal of Supercomputing;2021-06-28

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