|fields=Scientific computing
...uch like to learn how you run your jobs and what programs, simulations and data analysis your research requires, so we can help you better and potentially
1 KB (209 words) - 16:22, 27 February 2017
|description=WYSIWYG tool to make two-dimensional plots of scientific data
593 bytes (73 words) - 14:34, 21 September 2011
|fields=Scientific computing
...ccounts, logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
1 KB (186 words) - 14:01, 12 January 2017
|fields=Scientific computing
...ccounts, logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
1 KB (200 words) - 09:17, 21 October 2019
...) is an interpreted software language designed specifically for scientific data analysis and visualization. {{PAGENAME}} is maintained and developed at the
720 bytes (91 words) - 12:06, 22 April 2013
|fields=Scientific computing
...ccounts, Logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
939 bytes (137 words) - 08:30, 20 May 2014
|fields=Scientific computing
...ccounts, Logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
960 bytes (137 words) - 12:19, 2 June 2015
|fields=Scientific computing
...to run batch jobs, parallel computations, and work with distributed large data sets. The course will also adress the use of GPU-acceleration using Matlab.
1 KB (187 words) - 09:24, 1 September 2015
|description=Scientific Visualisation Workshop 2014
Welcome to this workshop on scientific visualisation organised by SNIC-UPPMAX!
1 KB (206 words) - 19:41, 11 November 2015
|fields=Scientific computing
...ccounts, Logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
959 bytes (137 words) - 12:40, 9 December 2015
|description=Data management
|fields=Scientific computing
749 bytes (118 words) - 09:19, 1 February 2016
|description=Data management seminar recording
|fields=Scientific computing;bioinformatics;HPC training
1 KB (219 words) - 10:35, 21 January 2019
|fields=Scientific computing
...different ways of connecting to the systems and how to transfer files and data. It will show how to use the installed software and provide a detailed dis
841 bytes (133 words) - 15:27, 27 April 2016
|fields=Scientific computing
...ccounts, Logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
960 bytes (137 words) - 14:56, 17 June 2016
|description=Scientific Visualisation Workshop Autumn 2016
Welcome to this workshop on scientific visualisation organised by SNIC-UPPMAX!
1 KB (211 words) - 10:22, 13 October 2016
* The Aalto Scientific Computing center offers an extensive ~3 day workshop on Linux shell and she
=== Data Management ===
8 KB (1,130 words) - 12:24, 6 April 2020
|fields=Scientific computing
...ccounts, logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
1 KB (186 words) - 13:58, 28 September 2017
|description=Transfering data to and from an HPC system
|fields=Scientific computing
958 bytes (145 words) - 13:42, 5 October 2017
|fields=Scientific computing
...dged elastic bands method, phonon calculations. Finally, the automation of data collection, analysis, and decision making will be discussed.
1 KB (174 words) - 12:03, 18 October 2017
|fields=Scientific computing
...ualization that will provide a new scalable approach to HPC and scientific data visualization. The desktop introduces a convenient way to work with our clu
978 bytes (145 words) - 14:31, 6 December 2017
|fields=Scientific computing
...ualization that will provide a new scalable approach to HPC and scientific data visualization. The desktop introduces a convenient way to work with our clu
978 bytes (145 words) - 14:20, 31 January 2018
|fields=Scientific computing
...ccounts, logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
1 KB (199 words) - 09:03, 2 February 2018
|fields=Scientific computing
...cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help on
1 KB (153 words) - 06:52, 5 February 2018
|description=Transfering data to and from an HPC system
|fields=Scientific computing
957 bytes (145 words) - 11:28, 2 October 2018
|description=Scientific Visualisation Workshop
In collaboration with SeSe, this year's Scientific Visualisation course will be held from 26-th to 30-th of November
1 KB (211 words) - 09:16, 28 February 2020
...iption=Making your research data fit for a future of open science and open data
|fields=Scientific data
1 KB (172 words) - 08:48, 4 October 2018
|fields=Scientific computing
...ccounts, logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
1 KB (199 words) - 08:30, 5 October 2018
|fields=Scientific computing
- How to organise your data
1 KB (206 words) - 13:53, 18 October 2018
|fields=Scientific computing
- How to organise your data
1 KB (226 words) - 13:44, 1 November 2018
|description=Transfering data to and from an HPC system
|fields=Scientific computing
960 bytes (145 words) - 16:14, 11 January 2019
|fields=Scientific computing
...ccounts, logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
1 KB (200 words) - 09:40, 16 January 2019
|description=Python for Scientific Computing
|fields=High performance computing; Python; Scientific computing; Data analysis
1 KB (164 words) - 08:12, 28 February 2020
|fields=Scientific computing
...ualization that will provide a new scalable approach to HPC and scientific data visualization. The desktop introduces a convenient way to work with our clu
1 KB (159 words) - 15:09, 28 February 2019
...iption=Making your research data fit for a future of open science and open data
|fields=Scientific data
1 KB (172 words) - 15:36, 13 March 2019
|fields=Scientific computing
...cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help on
1 KB (150 words) - 12:38, 8 November 2019
|fields=Scientific computing
...ccounts, logging into clusters, running software on various nodes, storing data for easy access, compiling, etc...
1 KB (200 words) - 19:27, 13 January 2020
|fields=Scientific computing
...ogin to PDC's systems, running software on different nodes at PDC, storing data on different file systems, compiling code, and more.
733 bytes (107 words) - 09:40, 1 April 2021
|fields=Scientific computing
...methods for using Dardel, including logging in, running software, storing data, compiling code, and more. After the lecture, there will be time for partic
744 bytes (109 words) - 22:03, 16 December 2021
|description=Handling large data within SNIC, using Swestore
|fields=Scientific data
1 KB (155 words) - 15:55, 17 February 2022
|fields=Scientific computing
...verview of the infrastructure, accounts, logging in, running jobs, storing data, and compiling code. We will also cover relevant topics such as Bash shell,
981 bytes (140 words) - 18:57, 8 March 2022
|fields=Scientific computing
...verview of the infrastructure, accounts, logging in, running jobs, storing data, and compiling code. We will also cover relevant topics such as Bash shell,
977 bytes (138 words) - 08:19, 27 October 2022
|fields=Scientific computing
...usage. Topics which will be covered include communicators, groups, derived data types, one-sided communication, non-blocking collectives and hybrid MPI+thr
958 bytes (135 words) - 08:38, 27 October 2022
