Algorithm and Software Overhead: A Theoretical Approach to Performance Portability

Author:

Mele ValeriaORCID,Laccetti GiulianoORCID

Publisher

Springer International Publishing

Reference28 articles.

1. Pennycook, S.J., Sewall, J.D., Lee, V.W.: Implications of a metric for performance portability. Future Gener. Comput. Syst. 92, 947–958 (2017). https://doi.org/10.1016/j.future.2017.08.007

2. Kwack, J., et al.: Evaluating performance portability of HPC applications and benchmarks across diverse HPC architectures. Exascale Computing Project (ECP) Webinar. https://www.exascaleproject.org/event/performance-portability-evaluation/. Accessed 20 May 2020

3. DOE centres of excellence performance portability meeting: post-meeting report technical report LLNL-TR-700962. Lawrence Livermore National Laboratory, Livermore (2016). https://asc.llnl.gov/sites/asc/files/2020-09/COE-PP-Meeting-2016-FinalReport_0.pdf

4. Carracciuolo, L., Mele, V., Szustak, L.: About the granularity portability of block-based Krylov methods in heterogeneous computing environments. Concurr. Comput. Pract. Exp. 33(4), e6008 (2021). https://doi.org/10.1002/cpe.6008

5. Neely, J.R.: DOE centers of excellence performance portability meeting. Technical report LLNL-TR-700962, 4. Lawrence Livermore National Laboratory (2016). https://doi.org/10.2172/1332474

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