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- |description=Python for Scientific Computing |fields=High performance computing; Python; Scientific computing; Data analysis1 KB (164 words) - 08:12, 28 February 2020
- |description=Task-based parallelism in scientific computing |fields=High performance computing; parallel programming; GPU computing; OpenMP; Task-based parallelism958 bytes (137 words) - 16:22, 28 February 2020
- |description=Task-based parallelism in scientific computing |fields=High performance computing; parallel programming; GPU computing; OpenMP; Task-based parallelism1 KB (216 words) - 17:05, 14 April 2021
Page text matches
- *Main scientific work in the field of sequence analysis and bioinformatic protein family cha *Keywords : Molecular Dynamics, Gromacs, GPGPU computing5 KB (702 words) - 13:38, 8 July 2011
- |fields=Scientific computing1 KB (209 words) - 16:22, 27 February 2017
- Lunarc is a center for scientific and technical computing for research at Lund University.435 bytes (52 words) - 09:10, 6 November 2013
- |description=the fundamental package needed for scientific computing with Python |fields=Scientific computing440 bytes (50 words) - 13:40, 21 September 2011
- |fields=Scientific computing; Visualisation685 bytes (85 words) - 14:20, 21 September 2011
- |description=statistical computing and visualisation language. |fields=Scientific computing; Visualisation; Programming language608 bytes (71 words) - 14:47, 21 September 2011
- |description=computational software for technical computing |fields=Scientific computing757 bytes (95 words) - 13:39, 27 September 2011
- |fields=Scientific computing1 KB (181 words) - 14:59, 25 August 2016
- |fields=Scientific computing Course webpage: http://www.uppmax.uu.se/applied-cloud-computing-workshop-autumn-2015643 bytes (90 words) - 12:57, 2 September 2015
- |fields=Scientific computing406 bytes (45 words) - 07:32, 4 June 2012
- |fields=Scientific computing1 KB (186 words) - 14:01, 12 January 2017
- |fields=Scientific computing1 KB (200 words) - 09:17, 21 October 2019
- |fields=Scientific computing ...mputing (SNIC) allows researchers to apply for usage of MATLAB Distributed Computing Server (MDCS) on their clusters to speed up massive MATLAB computations at991 bytes (151 words) - 15:19, 11 April 2014
- |fields=Scientific computing ...mputing (SNIC) allows researchers to apply for usage of MATLAB Distributed Computing Server (MDCS) on their clusters to speed up massive MATLAB computations at986 bytes (150 words) - 15:14, 11 April 2014
- |fields=Scientific computing465 bytes (62 words) - 08:29, 14 May 2014
- |fields=Scientific computing939 bytes (137 words) - 08:30, 20 May 2014
- |fields=Scientific computing490 bytes (63 words) - 14:34, 16 September 2014
- |fields=Scientific computing ...mputing (SNIC) allows researchers to apply for usage of MATLAB Distributed Computing Server (MDCS) on their clusters to speed up massive MATLAB computations at1,011 bytes (146 words) - 11:36, 19 September 2014
- |fields=Scientific computing ...mputing (SNIC) allows researchers to apply for usage of MATLAB Distributed Computing Server (MDCS) on their clusters to speed up massive MATLAB computations at1,013 bytes (146 words) - 09:58, 24 September 2014
- |fields=Scientific computing ...C40 architecture and programming environment, and give a basic overview of scientific libraries.2 KB (351 words) - 17:07, 4 December 2014
- |fields=Scientific computing677 bytes (106 words) - 10:20, 2 February 2015
- |fields=GPU computing significant part of the computational power used in scientific971 bytes (137 words) - 08:14, 28 February 2020
- |fields=Scientific computing931 bytes (146 words) - 13:56, 8 April 2015
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- |fields=Scientific computing960 bytes (137 words) - 12:19, 2 June 2015
- |description=Advanced Programming techniques for scientific computing using GPU ...established accelerators providing impressive computational power also to scientific applications.836 bytes (105 words) - 09:21, 28 February 2020
- |description=Introduction to Intel's Xeon Phi processor for scientific computing The Intel Xeon Phi is a new coprocessor supporting high performance computing with familiar programming models like OpenMP and MPI. The next technology g927 bytes (120 words) - 09:22, 28 February 2020
- |fields=Scientific computing1 KB (190 words) - 14:02, 20 August 2015
- |description=Solving large problems efficiently through parallel computing in Matlab |fields=Scientific computing1 KB (187 words) - 09:24, 1 September 2015
- |fields=Scientific computing494 bytes (63 words) - 12:10, 28 August 2015
- |fields=Scientific computing1 KB (181 words) - 09:16, 16 September 2015
- |fields=Scientific computing1,003 bytes (146 words) - 09:34, 16 October 2015
- |fields=Scientific computing1 KB (170 words) - 09:18, 16 October 2015
- |fields=Scientific computing2 KB (284 words) - 11:19, 18 December 2015
- |fields=Scientific computing2 KB (296 words) - 10:35, 12 November 2015
- |fields=Scientific computing1 KB (175 words) - 08:59, 26 November 2015
- |fields=Scientific computing959 bytes (137 words) - 12:40, 9 December 2015
- |fields=Scientific computing848 bytes (128 words) - 16:27, 10 December 2015
- |fields=Scientific computing749 bytes (118 words) - 09:19, 1 February 2016
- |fields=Scientific computing909 bytes (142 words) - 16:06, 24 January 2017
- |fields=Scientific computing781 bytes (124 words) - 12:25, 16 March 2016
- |fields=Scientific computing908 bytes (145 words) - 06:59, 22 April 2016
- |fields=Scientific computing;bioinformatics;HPC training1 KB (219 words) - 10:35, 21 January 2019
- |fields=Scientific computing With the Matlab Distributed Computing Server (MDCS) researchers can use the familiar Matlab environment to run co940 bytes (138 words) - 15:11, 27 April 2016
- |fields=Scientific computing845 bytes (130 words) - 15:14, 27 April 2016
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- |fields=Scientific computing1 KB (177 words) - 11:36, 3 June 2016
- |fields=Scientific computing960 bytes (137 words) - 14:56, 17 June 2016
- |fields=Scientific computing964 bytes (142 words) - 19:59, 19 January 2021
- ...alysis tools. This course addresses scientists developing and maintaining scientific applications written in one or more of Fortran, C or C++.1 KB (202 words) - 10:01, 27 October 2016
- |fields=Scientific computing1 KB (170 words) - 08:42, 10 November 2016
- |fields=Scientific computing904 bytes (118 words) - 10:24, 21 December 2016
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- |fields=Scientific computing907 bytes (144 words) - 16:14, 24 January 2017
- * Texas Advanced Computing Center (TACC) has produced a clear and general set of [https://portal.tacc. * The Aalto Scientific Computing center offers an extensive ~3 day workshop on Linux shell and shell scripti8 KB (1,130 words) - 12:24, 6 April 2020
- |fields=Scientific computing858 bytes (127 words) - 21:52, 6 April 2017
- |fields=Scientific computing With the Matlab Distributed Computing Server (MDCS) researchers can use the familiar Matlab environment to run co1,023 bytes (149 words) - 13:47, 20 April 2017
- |fields=Scientific computing1 KB (170 words) - 09:47, 18 May 2017
- |fields=Scientific computing913 bytes (144 words) - 16:08, 29 August 2017
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- |fields=Scientific computing862 bytes (127 words) - 13:00, 28 September 2017
- |fields=Scientific computing With the Matlab Distributed Computing Server (MDCS) researchers can use the familiar Matlab environment to run co1 KB (149 words) - 13:05, 28 September 2017
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- |fields=Scientific computing1 KB (170 words) - 09:10, 1 November 2017
- |fields=Scientific computing ...remote visualization that will provide a new scalable approach to HPC and scientific data visualization. The desktop introduces a convenient way to work with ou978 bytes (145 words) - 14:31, 6 December 2017
- |fields=Scientific computing874 bytes (141 words) - 14:40, 17 January 2018
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- |fields=Scientific computing ...remote visualization that will provide a new scalable approach to HPC and scientific data visualization. The desktop introduces a convenient way to work with ou978 bytes (145 words) - 14:20, 31 January 2018
- |fields=Scientific computing1 KB (199 words) - 09:03, 2 February 2018
- |fields=Scientific computing ...work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, includi1 KB (153 words) - 06:52, 5 February 2018
- |fields=Scientific computing1 KB (190 words) - 10:51, 22 February 2018
- |fields=Scientific computing1 KB (191 words) - 10:56, 22 February 2018
- |fields=Scientific computing With the Matlab Distributed Computing Server (MDCS) researchers can use the familiar Matlab environment to run co1 KB (149 words) - 11:39, 22 March 2018
- |fields=Scientific computing1 KB (170 words) - 07:30, 3 May 2018
- |fields=Scientific computing918 bytes (137 words) - 09:24, 28 August 2018
- |fields=Scientific computing957 bytes (145 words) - 11:28, 2 October 2018
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