Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ryan Bleile"'
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779603
ICCS (1)
ICCS (1)
This paper considers Monte Carlo photon transport applications on heterogenous compute architectures with both CPUs and GPUs. Previous work on this problem has considered only meshes that can fully fit within the memory of a GPU, which is a significa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e29dd9d82567046e4cfc80d37c54597f
https://doi.org/10.1007/978-3-030-77961-0_20
https://doi.org/10.1007/978-3-030-77961-0_20
Autor:
L. Busby, B. Olson, R.B. Pember, R W Anderson, Kenneth Weiss, Veselin Dobrev, Thomas Stitt, N. S. Elliott, M. Osawe, A. Skinner, J. Ciurej, Richard D. Hornung, D. Stevens, R. Rieben, Vladimir Tomov, A. Black, B. Blakeley, L. R. Taylor, Cyrus Harrison, Daniel A. White, W. Liu, Jean-Sylvain Camier, W. Nissen, Arturo Vargas, J. Grondalski, Matthew Legendre, Andrew W. Cook, Olga Pearce, Ryan Bleile, Tz. V. Kolev, G. Papadimitriou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7311be2624316052b02ee59b8e997176
https://doi.org/10.2172/1724326
https://doi.org/10.2172/1724326
Autor:
Stanimire Tomov, Arturo Vargas, Jean-Sylvain Camier, David Medina, Veselin Dobrev, Vladimir Tomov, Yu-Hsiang Lan, Matthew Churchfield, Jeremy Thompson, Natalie Beams, Kenneth Weiss, Paul Fischer, Valeria Barra, Stefan Kerkemeier, Jed Brown, Ahmad Abdelfattah, Shreyas Ananthan, Scott Parker, Ali Karakus, Yohann Dudouit, Thomas Stitt, Tim Warburton, Michael Sprague, Robert Carson, Ananias Tomboulides, Misun Min, Tzanio V. Kolev, Jack Dongarra, Elia Merzari, Thilina Ratnayaka, Cameron Smith, Ryan Bleile
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::384db9fa3d82ec871e418d480cfa0467
https://doi.org/10.2172/1614965
https://doi.org/10.2172/1614965
Autor:
Arturo Vargas, Thilina Rathnayake, Tim Warburton, Veselin Dobrev, Stanimire Tomov, Vladimir Tomov, Robert Carson, Stefan Kerkemeier, R. Rieben, Tzanio V. Kolev, Yohann Dudouit, Elia Merzari, Malachi Phillips, Jed Brown, Kenneth Weiss, Valeria Barra, Yu-Hsiang Lan, Jean-Sylvain Camier, Thomas Stitt, Ahmad Abdelfattah, Natalie Beams, Ryan Bleile, Ananias G. Tomboulides, Paul Fischer, Ali Karakus, Misun Min, Noel Chalmers
Publikováno v:
Parallel Computing. 108:102841
In this paper we describe the research and development activities in the Center for Efficient Exascale Discretization within the US Exascale Computing Project, targeting state-of-the-art high-order finite-element algorithms for high-order application
Publikováno v:
Visualization and Data Analysis
Autor:
Ryan Bleile, M J O'Brien, David F. Richards, Patrick S. Brantley, Hank Childs, Shawn Dawson, Michael Scott McKinley
Publikováno v:
HPCS
A graphics processing unit (GPU) has become a core technology for modern supercomputers. Applications that once ran on supercomputers are being forced to make significant changes to their designs to utilize these new machines. This paper introduces t
Autor:
M J O'Brien, Ryan Bleile, David F. Richards, Shawn Dawson, Patrick S. Brantley, Michael Scott McKinley
Publikováno v:
CLUSTER
Like many other code teams, the developers of the Mercury Monte Carlo Transport code at Lawrence Livermore National Laboratory are being forced by the arrival of GPUbased supercomputers to substantially refactor their application to obtain acceptable
Publikováno v:
Mathematics and Visualization ISBN: 9783662448991
Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
This chapter describes a data-parallel, distributed-memory algorithm for identifying and labeling the connected sub-meshes within a three-dimensional mesh. The identification task is challenging in a distributed-memory setting because connectivity is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e60f64b97411b246da3e0ffc0dc2a21a
https://doi.org/10.1007/978-3-662-44900-4_1
https://doi.org/10.1007/978-3-662-44900-4_1