Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Stephanie Brink"'
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
Autor:
Olga Pearce, Stephanie Brink
Publikováno v:
The International Journal of High Performance Computing Applications. :109434202311756
In this work, we develop novel data science methodologies for ensemble performance data that have the potential to uncover orders of magnitude of performance that is unknowingly being left on the table. Building on years of successful performance too
Autor:
Stephanie Brink
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Autor:
Matthew Larsen, Cyrus Harrison, Terece L. Turton, Sudhanshu Sane, Stephanie Brink, Hank Childs
Publikováno v:
2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV).
Autor:
Diana Guttman, Siddhartha Jana, Fuat Keceli, Lowren H. Lawson, Brad Geltz, Ali Mohammad, Aniruddha Marathe, Daniel C. Wilson, Jonathan M. Eastep, Federico Ardanaz, Christopher M. Cantalupo, Ayse K. Coskun, Al-Rawi Asma, Stephanie Brink
Publikováno v:
IPDPS
Effective power management in a data center is critical to ensure that power delivery constraints are met while maximizing the performance of users’ workloads. Power limiting is needed in order to respond to greater-than-expected power demand. HPC
Autor:
Ian Lumsden, Michela Taufer, Stephanie Brink, Abhinav Bhatele, Todd Gamblin, Connor Scully-Allison, Katherine E. Isaacs, Olga Pearce, Katy Williams
Publikováno v:
HUST/ProTools@SC
Performance analysis is critical for pinpointing bottlenecks in parallel applications. Several profilers exist to instrument parallel programs on HPC systems and gather performance data. Hatchet is an open-source Python library that can read profilin
Autor:
Céline J. A. van Bilsen, Stephanie Brinkhues, Christian J. P. A. Hoebe, Christina Stabourlos, Chrissy P. B. Moonen, Stefaan Demarest, Daniëlle A. T. Hanssen, Inge H. M. van Loo, Paul H. M. Savelkoul, Dirk Philippsen, Brigitte A. M. van der Zanden, Nicole H. T. M. Dukers-Muijrers
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionCross-border mobility (CBM) to visit social network members or for everyday activities is an important part of daily life for citizens in border regions, including the Meuse-Rhine Euroregion (EMR: neighboring regions from the Netherlands,
Externí odkaz:
https://doaj.org/article/6e949435f054468fa0fdb9a1ca58837a
Publikováno v:
Parallel Computing. :102782
Power is becoming an increasingly scarce resource on the next generation of supercomputers, and should be used wisely to improve overall performance. One strategy for improving power usage is hardware overprovisioning, i.e., systems with more nodes t
Publikováno v:
SC
Performance analysis is critical for eliminating scalability bottlenecks in parallel codes. There are many profiling tools that can instrument codes and gather performance data. However, analytics and visualization tools that are general, easy to use