Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Philip Carns"'
Publikováno v:
Computing in Science & Engineering. 23:63-68
High-performance computing (HPC) storage systems are a key component of the success of HPC to date. Recently, we have seen major developments in storage-related technologies, as well as changes to how HPC platforms are used, especially in relation to
Autor:
Jean Luca Bez, Ahmad Maroof Karimi, Arnab K. Paul, Bing Xie, Suren Byna, Philip Carns, Sarp Oral, Feiyi Wang, Jesse Hanley
Publikováno v:
Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing.
Autor:
Mihailo Isakov, Mikaela Currier, Eliakin del Rosario, Sandeep Madireddy, Prasanna Balaprakash, Philip Carns, Robert B. Ross, Glenn K. Lockwood, Michel A. Kinsy
I/O efficiency is crucial to productivity in scientific computing, but the increasing complexity of the system and the applications makes it difficult for practitioners to understand and optimize I/O behavior at scale. Data-driven machine learning-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::124d38a91a9303f0c7d5064b595c3dcc
http://arxiv.org/abs/2204.08180
http://arxiv.org/abs/2204.08180
Publikováno v:
2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC).
Autor:
Houjun Tang, Bing Xie, Suren Byna, Philip Carns, Quincey Koziol, Sudarsun Kannan, Jay Lofstead, Sarp Oral
Publikováno v:
2021 IEEE/ACM Sixth International Parallel Data Systems Workshop (PDSW).
Autor:
Shane Snyder, Matthieu Dorier, Jerome Soumagne, Philip Carns, Robert Ross, Srinivasan Ramesh, Allen D. Malony
Publikováno v:
IPDPS
Microservices are a powerful new way of building, customizing, and deploying distributed services owing to their flexibility and maintainability. Several large-scale distributed platforms have emerged to serve the growing needs of data-centric worklo
Autor:
Kevin Harms, Zilong Tan, Feiyi Wang, Sudharshan S. Vazhkudai, Jeffrey S. Chase, Sarp Oral, Jay Lofstead, Bing Xie, Philip Carns
Publikováno v:
IPDPS
This work seeks to advance the state of the art in HPC I/O performance analysis and interpretation. In particular, we demonstrate effective techniques to: (1) model output performance in the presence of I/O interference from production loads; (2) bui
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 30:1613-1627
High-performance computing (HPC) systems generate huge amounts of metadata about different entities such as jobs, users, and files. Existing systems can efficiently record and manage part of these metadata, mainly the POSIX metadata of data files (e.
Autor:
Robert Ross, Michel A. Kinsy, Sandeep Madireddy, Prasanna Balaprakash, Mihailo Isakov, Eliakin del Rosario, Philip Carns
Publikováno v:
ROSS@SC
Many modern HPC applications do not make good use of the limited available I/O bandwidth. Developing an understanding of the I/O subsystem is a critical first step in order to better utilize an HPC system. While expert insight is indispensable, I/O e
Publikováno v:
PDSW@SC
HPC storage software developers rely on benchmarks as reference points for performance evaluation. Low-level synthetic microbenchmarks are particularly valuable for isolating performance bottlenecks in complex systems and identifying optimization opp