Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Kei Davis"'
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 30:677-691
Adaptive mesh refinement based on octree data structures has enabled efficient simulations of complex physical phenomena. Existing meshing algorithms were proposed with the assumption that computer memory is volatile . Consequently, for failure recov
Publikováno v:
IEEE Transactions on Multi-Scale Computing Systems. 4:662-675
Data-intensive knowledge discovery requires scientific applications to run concurrently with analytics and visualization codes executing in situ for timely output inspection and knowledge extraction. Consequently, I/O pipelines of scientific workflow
Publikováno v:
Concurrency and Computation: Practice and Experience. 32
Autor:
Christoph Junghans, Kei Davis, Robert W. Robey, Jon A. Dahl, R. Joe Zerr, Daniel Holladay, Samuel K. Gutierrez, Patrick McCormick, Dorian Arnold, Randal S. Baker, Florian Weik
Publikováno v:
IPDPS
Hybrid parallel program models that combine message passing and multithreading (MP+MT) are becoming more popular, extending the basic message passing (MP) model that uses single-threaded processes for both inter- and intra-node parallelism. A consequ
Publikováno v:
ACM Transactions on Storage. 9:1-23
Prefetching is an important technique for improving effective hard disk performance. A prefetcher seeks to accurately predict which data will be requested and load it ahead of the arrival of the corresponding requests. Current disk prefetch policies
Autor:
Loren James Anderson, Marion Kei Davis
We explore functional programming through a 16-week internship at Los Alamos National Laboratory. Functional programming is a branch of computer science that has exploded in popularity over the past decade due to its high-level syntax, ease of parall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81088c9c6136255e756d4419ef2a8053
https://doi.org/10.2172/1237221
https://doi.org/10.2172/1237221
Publikováno v:
IEEE Transactions on Computers. 59:1508-1519
In a distributed environment, the utilization of file buffer caches in different clients may greatly vary. Cooperative caching has been proposed to increase cache utilization by coordinating the shared usage of distributed caches. It allows clients t
Publikováno v:
Parallel Processing Letters. 19:619-639
We present predictive performance models of two of the petascale applications, S3D and GTC, from the DOE Office of Science workload. We outline the development of these models and demonstrate their validation on an Opteron/Infiniband cluster and the
Autor:
Darren J. Kerbyson, Michael Lang, Scott Pakin, Adolfy Hoisie, Kevin J. Barker, Kei Davis, José Carlos Sancho
Publikováno v:
Computer. 42:42-49
A methodology for accurately modeling large applications explores the performance of ultrascale systems at different stages in their life cycle, from early design through production use.
Autor:
Scott Pakin, Adolfy Hoisie, Michael Lang, Darren J. Kerbyson, José Carlos Sancho, Kevin J. Barker, Kei Davis
Publikováno v:
Parallel Processing Letters. 18:453-469
In this work we present an initial performance evaluation of Intel's latest, second-generation quad-core processor, Nehalem, and provide a comparison to first-generation AMD and Intel quad-core processors Barcelona and Tigerton. Nehalem is the first