Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Suraj P. Kesavan"'
Autor:
Todd Gamblin, Abhinav Bhatele, Suraj P. Kesavan, Kwan-Liu Ma, Harsh Bhatia, Olga Pearce, Peer-Timo Bremer, Stephanie Brink
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 29:1691-1704
Optimizing the performance of large-scale parallel codes is critical for efficient utilization of computing resources. Code developers often explore various execution parameters, such as hardware configurations, system software choices, and applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b270c2f3a67d19d0e9a6dc93a9b15c46
https://doi.org/10.1109/tvcg.2021.3129414
https://doi.org/10.1109/tvcg.2021.3129414
Autor:
Misbah Mubarak, Christopher D. Carothers, Kwan-Liu Ma, Takanori Fujiwara, Suraj P. Kesavan, Caitlin Ross, Robert B. Ross, Jianping Kelvin Li
Publikováno v:
DOE / OSTI
PacificVis
PacificVis
Understanding and tuning the performance of extreme-scale parallel computing systems demands a streaming approach due to the computational cost of applying offline algorithms to vast amounts of performance log data. Analyzing large streaming data is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e8e558516a2f6e687cc4e1f3de2c45b
Autor:
Misbah Mubarak, Jianping Kelvin Li, Caitlin Ross, Kwan-Liu Ma, Suraj P. Kesavan, Takanori Fujiwara, Christopher D. Carothers, Robert Ross
Publikováno v:
2019 IEEE Visualization in Data Science (VDS).
To optimize the performance and efficiency of HPC applications, programmers and analysts often need to collect various performance metrics for each computer at different time points as well as the communication data between the computers. This result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69e48924e37ec74b9143cd8c6b8eaec0
https://doi.org/10.1109/vds48975.2019.8973380
https://doi.org/10.1109/vds48975.2019.8973380