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pro vyhledávání: '"Poliakoff, David"'
The C++ programming language is not only a keystone of the high-performance-computing ecosystem but has proven to be a successful base for portable parallel-programming frameworks. As is well known, C++ programmers use templates to specialize algorit
Externí odkaz:
http://arxiv.org/abs/1904.08555
Akademický článek
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Autor:
Cannada Lewis, Poliakoff, David
We have recently implemented compile time correctness analysis, for the Kokkoslibrary, using tools provided by the LLVM compiler framework. Kokkos is a C++abstraction layer that provides performance portability across a wide array ofbackends, the mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5409ef8cd0fb1264a0c618c8945f348c
Akademický článek
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Autor:
Poliakoff, David
Modern computational software is increasingly large in terms of lines of code, number of developers, intended longevity, and complexity of intended architectures. While tools exist to mitigate the problems this type of software causes for the develop
Externí odkaz:
http://hdl.handle.net/1794/19352
Publikováno v:
2014 21st International Conference on High Performance Computing (HiPC); 2014, p1-10, 10p
Autor:
Karlin, Ian, Scogland, Tom, Jacob, Arpith C., Antao, Samuel F., Bercea, Gheorghe-Teodor, Bertolli, Carlo, de Supinski, Bronis R., Draeger, Erik W., Eichenberger, Alexandre E., Glosli, Jim, Jones, Holger, Kunen, Adam, Poliakoff, David, Richards, David F.
Publikováno v:
OpenMP: Memory, Devices & Tasks; 2016, p281-292, 12p
Publikováno v:
Broadcasting & Cable - Multichannel News. 6/4/2007, Vol. 137 Issue 23, Special section p1-32. 21p.
Publikováno v:
OpenMP: Memory, Devices & Tasks; 2016, p351-352, 2p
Publikováno v:
HiPC
Childs, Hank; Biersdorff, Scott; Poliakoff, David; Camp, David; & Malony, Allen D.(2014). Particle Advection Performance Over Varied Architectures and Workloads. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/13x486pc
Childs, Hank; Biersdorff, Scott; Poliakoff, David; Camp, David; & Malony, Allen D.(2014). Particle Advection Performance Over Varied Architectures and Workloads. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/13x486pc
Particle advection is a foundational operation for many flow visualization techniques, including streamlines, Finite-Time Lyapunov Exponents (FTLE) calculation, and stream surfaces. The workload for particle advection problems varies greatly, includi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd50ffe0e5929b23cdc3e5c8bc9ebcf4
https://doi.org/10.1109/hipc.2014.7116900
https://doi.org/10.1109/hipc.2014.7116900