Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Victor Eijkhout"'
Autor:
Mark Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith
Publikováno v:
Computing in Science & Engineering. 24:6-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f726b808f5408121ed7d63438866667
https://doi.org/10.1109/mcse.2022.3169974
https://doi.org/10.1109/mcse.2022.3169974
Autor:
Je'aime Powell, Joshua Freeze, Susan Lindsey, Victor Eijkhout, Lars Koesterke, S. Charlie Dey, Brandi Kuritz, Rosalia Gomez
Publikováno v:
The Journal of Computational Science Education. 12:18-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f3542e6e4a7ce778df366bb5362b997
https://doi.org/10.22369/issn.2153-4136/12/2/3
https://doi.org/10.22369/issn.2153-4136/12/2/3
Publikováno v:
PEARC
As many scientific computation tasks focus on solving large-scale and computationally intensive problems, a wide range of problems involving High-Throughput Computing (HTC) paradigms and data-oriented algorithms emerge. To solve these problems, we re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8422ee3f1324cdff6961f2090b6aedb9
https://doi.org/10.1145/3437359.3465569
https://doi.org/10.1145/3437359.3465569
Autor:
Erika Fuentes, Victor Eijkhout
Publikováno v:
New Advances in Machine Learning
In various areas of numerical analysis, there are several possible algorithms for solving a problem. In such cases, each method potentially solves the problem, but the runtimes can widely differ, and breakdown is possible. Also, there is typically no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e1e1a5740b93daf95d66cc98132c913
http://www.intechopen.com/articles/show/title/machine-learning-for-multi-stage-selection-of-numerical-methods
http://www.intechopen.com/articles/show/title/machine-learning-for-multi-stage-selection-of-numerical-methods
Autor:
Satish Balay, Shrirang Abhyankar, M. Adams, Jed Brown, Peter Brune, Kris Buschelman, Lisandro Dalcin, Alp Dener, Victor Eijkhout, William Gropp, D. Karpeyev, Dinesh Kaushik, Matthew Knepley, D. May, L. McInnes, Richard Mills, Todd Munson, Karl Rupp, Patrick Sanan, Barry Smith, Stefano Zampini, H. Zhang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a672fc78ed989344ee5641581f67fccc
https://doi.org/10.2172/1814627
https://doi.org/10.2172/1814627
Autor:
Thomas E. Yankeelov, Gregory S. Karczmar, Ty O Easley, Chengyue Wu, Federico Pineda, David A. Hormuth, Victor Eijkhout
Publikováno v:
Med Image Anal
Quantitative evaluation of an image processing method to perform as designed is central to both its utility and its ability to guide the data acquisition process. Unfortunately, these tasks can be quite challenging due to the difficulty of experiment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e86dd113896d3e0814a9b4f7febd9e24
https://pubmed.ncbi.nlm.nih.gov/34329903
https://pubmed.ncbi.nlm.nih.gov/34329903
Publikováno v:
PEARC
PowerFlow3D is a prototype system for acquiring, reconstructing, and visualizing three-dimensional structure of complex flows around objects in wind tunnel test procedures. PowerFlow3D combines modern high-performance computing (HPC) with existing ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3ed82a9e08c0a0240b13f30b2135239
https://doi.org/10.1145/3311790.3396626
https://doi.org/10.1145/3311790.3396626
Autor:
Victor Eijkhout
Publikováno v:
IPDPS Workshops
We present an experimental investigation of the performance of MPI derived datatypes. While solutions with hardware support can achieve high performance, we show that vanilla approaches fall short. For messages up to the megabyte range most schemes p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d875a26a3a71efb185588734717c6173
https://doi.org/10.1109/ipdpsw50202.2020.00149
https://doi.org/10.1109/ipdpsw50202.2020.00149
Autor:
Victor Eijkhout
Publikováno v:
Journal of Parallel and Distributed Computing. 118:120-127
Distributed memory programming, typically through the MPI library, is the de facto standard for programming large scale parallelism, with up to millions of individual processes. Its dominant paradigm of Single Program Multiple Data (SPMD) programming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::528007c618d7a774947032a6c6fb87f2
https://doi.org/10.1016/j.jpdc.2018.02.029
https://doi.org/10.1016/j.jpdc.2018.02.029