Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Dylan Stark"'
Autor:
James A. Ang, Richard Frederick Barrett, null Benner, Robert E., Daniel Burke, Cy Chan, Jeanine Cook, Christopher Daley, David Donofrio, Simon David Hammond, Karl Scott Hemmert, Robert J. Hoekstra, Khaled Ibrahim, Suzanne M. Kelly, Hoang Le, Vitus J. Leung, George Michelogiannakis, David Richard Resnick, Arun F. Rodrigues, John Shalf, Dylan Stark, D. Unat, Nick Wright, Gwendolyn Renae Voskuilen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f77ac489177f3558c36174c784644724
https://doi.org/10.2172/1561498
https://doi.org/10.2172/1561498
Autor:
Thomas Sterling, Dylan Stark
Publikováno v:
Computing in Science & Engineering. 11:42-49
Cloud computing is emerging as an important computational resource allocation trend in commercial, academic, and industrial sectors. Yet, because the business model doesn't currently meet all the needs of high-performance computing (HPC)-the demands
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3bcfa48bf410ea041ff09cfac23b82c
https://doi.org/10.1109/mcse.2009.111
https://doi.org/10.1109/mcse.2009.111
Publikováno v:
HPEC
It is challenging to obtain scalable HPC performance on real applications, especially for data science applications with irregular memory access and computation patterns. To drive co-design efforts in architecture, system, and application design, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7253a3cc9a452ae8cee0d4bce6c6a915
https://doi.org/10.1109/hpec.2015.7322450
https://doi.org/10.1109/hpec.2015.7322450
Autor:
Courtenay T. Vaughan, Stephen L. Olivier, Ryan E. Grant, Dylan Stark, Kevin Pedretti, Richard F. Barrett
Publikováno v:
PMAM@PPoPP
The Bulk Synchronous Parallel programming model is showing performance limitations at high processor counts. We propose over-decomposition of the domain, operated on as tasks, to smooth out utilization of the computing resource, in particular the nod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fe2b8868810a50e9589e1cf349e2932
https://doi.org/10.1145/2712386.2712388
https://doi.org/10.1145/2712386.2712388
Autor:
Karl Scott Hemmert, J. A. Ang, Arun Rodrigues, Vitus J. Leung, Daniel Burke, Che Ting Chan, Dave Donofrio, David Resnick, Simon D. Hammond, Dylan Stark, R.E. Benner, Suzanne M. Kelly, H. Le, Nicholas J. Wright, Richard F. Barrett, Didem Unat, John Shalf, Jeanine Cook
Publikováno v:
Co-HPC@SC
To achieve exascale computing, fundamental hardware architectures must change. This will significantly impact scientific applications that run on current high performance computing (HPC) systems, many of which codify years of scientific domain knowle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc33af0a629f1fd8a5d6e675826619de
https://doi.org/10.1109/co-hpc.2014.4
https://doi.org/10.1109/co-hpc.2014.4
Publikováno v:
Co-HPC@SC
Disruptive changes to computer architecture are paving the way toward extreme scale computing. The co-design strategy of collaborative research and development among computer architects, system software designers, and application teams can help to en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8220291dca5c0de9d96fa55b61d3ab41
https://doi.org/10.1109/co-hpc.2014.5
https://doi.org/10.1109/co-hpc.2014.5
Autor:
Courtenay T. Vaughan, Dylan Stark, Richard F. Barrett, Ryan E. Grant, Kevin Pedretti, Stephen L. Olivier
Publikováno v:
ExaMPI@SC
Advances in node-level architecture and interconnect technology needed to reach extreme scale necessitate a reevaluation of long-standing models of computation, in particular bulk synchronous processing. The end of Dennard-scaling and subsequent incr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fe3941ff03018c6c7b0d46a84eb962b
https://doi.org/10.1109/exampi.2014.6
https://doi.org/10.1109/exampi.2014.6
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783540681052
PPAM
Parallel processing and applied mathematics : 7th international conference, PPAM 2007
Lecture Notes in Computer Science
PPAM
Parallel processing and applied mathematics : 7th international conference, PPAM 2007
Lecture Notes in Computer Science
Real-time access to accurate and reliable timing information is necessary to profile scientific applications, and crucial as simulations become increasingly complex, adaptive, and large-scale. The Cactus Framework provides flexible and extensible cap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb4a47c19a975bdfe1519dc78065904d
http://arxiv.org/abs/0705.3015
http://arxiv.org/abs/0705.3015