Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Kyle Spafford"'
Publikováno v:
J Clin Microbiol
Publikováno v:
Journal of Clinical Microbiology. 58
We thank Dr. Pogue and Dr. Heil for their commentary on our study of resistance mechanisms for Gram-negative bacteria in the United States and agree that these tests can provide tremendous value to antimicrobial stewardship. We further agree with the
Publikováno v:
Journal of Clinical Microbiology. 57
The use of rapid diagnostic tests (RDTs) for blood cultures has become standard of care in the United States to inform early antimicrobial optimization. The relative ability of genotypic and phenotypic approaches to identify beta-lactam susceptibilit
Publikováno v:
Journal of clinical microbiology. 57(10)
The use of rapid diagnostic tests (RDTs) for blood cultures has become standard of care in the United States to inform early antimicrobial optimization. The relative ability of genotypic and phenotypic approaches to identify beta-lactam susceptibilit
Autor:
Romney M Humphries, Kyle Spafford
Publikováno v:
Clinical Infectious Diseases. 69:1830-1831
Autor:
Ada Gavrilovska, Jeremy S. Meredith, Philip C. Roth, Kyle Spafford, Magda Slawinska, Karsten Schwan, Mitch Horton, John Wynkoop, Jack Dongarra, Stanimire Tomov, Jeffrey S. Vetter, Sudhakar Yalamanchili, Richard Glassbrook
Publikováno v:
Contemporary High Performance Computing ISBN: 9781351104005
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80beb66216c55edb6b4097dfc72f84ac
https://doi.org/10.1201/9781351104005-7
https://doi.org/10.1201/9781351104005-7
Publikováno v:
The International Journal of High Performance Computing Applications. 27:255-262
This case study presents an analytical performance model for the DARPA UHPC streaming sensor challenge problem developed using Aspen, a domain-specific language for performance modeling. The model focuses on the exploration of algorithmic tradeoffs,
Autor:
R. Glassbrook, Jeffrey S. Vetter, Kyle Spafford, James H. Rogers, Jeremy S. Meredith, Jack Dongarra, Karsten Schwan, Sudhakar Yalamanchili, P. Roth, B. Loftis, S. McNally
Publikováno v:
Computing in Science & Engineering. 13:90-95
The Keeneland project's goal is to develop and deploy an innovative, GPU-based high-performance computing system for the NSF computational science community.
Publikováno v:
IEEE Micro. 31:66-75
This article considers trends in heterogeneous system design, particularly for GPUs. Using the Keeneland Initial Delivery System, the authors examine the performance implications of increased parallelism and specialized hardware on parallel scientifi
Autor:
Jeffrey S. Vetter, Kyle Spafford
Publikováno v:
Scientific Programming, Vol 2015 (2015)
Architects and applications scientists often use performance models to explore a multidimensional design space of architectural characteristics, algorithm designs, and application parameters. With traditional performance modeling tools, these explora