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ORCIDDewi Yokelson
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2020 – today
- 2024
[j2]Dewi Yokelson
, Oskar Lappi, Srinivasan Ramesh, Miikka S. Väisälä, Kevin A. Huck, Touko Puro, Boyana Norris, Maarit J. Korpi-Lagg, Keijo Heljanko, Allen D. Malony:
SOMA: Observability, monitoring, and in situ analytics for exascale applications. Concurr. Comput. Pract. Exp. 36(19) (2024)- [c3]Dewi Yokelson, Mikhail Titov, Srinivasan Ramesh, Ozgur O. Kilic, Matteo Turilli, Shantenu Jha, Allen D. Malony:
Enabling Performance Observability for Heterogeneous HPC Workflows with SOMA. ICPP 2024: 220-230 - 2023
- [c2]Dewi Yokelson, Marc Robert Joseph Charest, Ying Wai Li:
HPC Application Performance Prediction with Machine Learning on New Architectures. PERMAVOST@HPDC 2023: 1-8 - 2022
- [j1]Dewi Yokelson, Nikolay V. Tkachenko, Robert Robey, Ying Wai Li, Pavel A. Dub:
Performance Analysis of CP2K Code for Ab Initio Molecular Dynamics on CPUs and GPUs. J. Chem. Inf. Model. 62(10): 2378-2386 (2022) - 2021
- [c1]Brian J. Gravelle, William David Nystrom, Dewi Yokelson, Boyana Norris:
Enabling Cache Aware Roofline analysis with Portable Hardware Counter Metrics. PMBS 2021: 75-81 - [i2]Dewi Yokelson, Nikolay V. Tkachenko, Robert Robey, Ying Wai Li, Pavel A. Dub:
Performance Analysis of CP2K Code for Ab Initio Molecular Dynamics. CoRR abs/2109.04536 (2021) - 2020
- [i1]Dewi Yokelson:
Advancing Visual Specification of Code Requirements for Graphs. CoRR abs/2007.14958 (2020)
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