Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Sudharshan S. Vazhkudai"'
Publikováno v:
IEEE Access, Vol 9, Pp 85217-85231 (2021)
Scientific applications often require high-bandwidth shared storage to perform joint simulations and collaborative data analytics. Shared memory pools provide a chance to satisfy such needs. Recently, a high-speed network such as Gen-Z utilizing pers
Externí odkaz:
https://doaj.org/article/77ffe8e9205f44ff91fa9bd113654ec2
Publikováno v:
IEEE Access, Vol 9, Pp 85217-85231 (2021)
Scientific applications often require high-bandwidth shared storage to perform joint simulations and collaborative data analytics. Shared memory pools provide a chance to satisfy such needs. Recently, a high-speed network such as Gen-Z utilizing pers
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 31:2375-2391
Data services such as search, discovery, and management in scalable distributed environments have traditionally been decoupled from the underlying file systems, and are often deployed using external databases and indexing services. However, modern da
Publikováno v:
SC
HPC systems typically rely on the fixed-lifetime (FLT) data retention strategy, which only considers temporal locality of data accesses to parallel file systems. However, our extensive analysis based on the leadership-class HPC system traces suggests
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
Autor:
Youngjae Kim, Sudharshan S. Vazhkudai, Geoffroy Vallée, Hyogi Sim, Ali R. Butt, Devesh Tiwari
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 30:271-285
The need for novel data analysis is urgent in the face of a data deluge from modern applications. Traditional approaches to data analysis incur significant data movement costs, moving data back and forth between the storage system and the processor.
Publikováno v:
HPC Asia
Supercomputer design is a complex, multi-dimensional optimization process, wherein several subsystems need to be reconciled to meet a desired figure of merit performance for a portfolio of applications and a budget constraint. However, overall, the H
Publikováno v:
MCHPC@SC
This paper presents Mosiqs, a persistent memory object storage framework with metadata indexing and querying for scientific computing. We design Mosiqs based on the key idea that memory objects on shared PM pool can live beyond the application lifeti
Publikováno v:
IPDPS
Designing dependable supercomputers begins with an understanding of errors in real-world, large-scale systems. The Titan supercomputer at Oak Ridge National Laboratory provides a unique opportunity to investigate errors when an actual system is activ
Autor:
M. Mustafa Rafique, Sudharshan S. Vazhkudai, Ali R. Butt, Jingoo Han, Luna Xu, Seung-Hwan Lim
Publikováno v:
CCGRID
Deep learning (DL) has become a key tool for solving complex scientific problems. However, managing the multi-dimensional large-scale data associated with DL, especially atop extant multiple graphics processing units (GPUs) in modern supercomputers p