Difference between revisions of "Running parallel jobs in Matlab (Lunarc Sept 2015)"
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{{training event info | {{training event info | ||
| − | |description= | + | |description=Solving large problems efficiently through parallel computing in Matlab |
|fields=Scientific computing | |fields=Scientific computing | ||
|event type=Course | |event type=Course | ||
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== Seminar overview == | == Seminar overview == | ||
| − | + | With the [[Matlab]] Distributed Computing Server (MDCS) researchers can use the familiar Matlab environment to run computationally intensive Matlab programs efficiently on computer clusters. This course will introduce participants who are familiar with the Matlab environment to the MDCS and show how 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. | |
| + | At the end of the course participants should have the ability to rewrite their scientific Matlab codes for use on the SNIC HPC resources. | ||
== Trainer == | == Trainer == | ||
| − | The course will be delivered by Anders Sjöström (Lunarc) | + | The course will be delivered by Anders Sjöström (Lunarc) |
== Course web page and registration == | == Course web page and registration == | ||
| − | + | More information and registrations is available from the Lunarc webpage | |
Revision as of 13:54, 20 August 2015
| Name | Running parallel jobs in Matlab (Lunarc Sept 2015) |
|---|---|
| Description | Solving large problems efficiently through parallel computing in Matlab |
| Type of event | Course |
| Location | Lund (Lunarc) |
| Start date | 2015-09-30 |
| End date | 2015-09-30 |
Seminar overview
With the Matlab Distributed Computing Server (MDCS) researchers can use the familiar Matlab environment to run computationally intensive Matlab programs efficiently on computer clusters. This course will introduce participants who are familiar with the Matlab environment to the MDCS and show how 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. At the end of the course participants should have the ability to rewrite their scientific Matlab codes for use on the SNIC HPC resources.
Trainer
The course will be delivered by Anders Sjöström (Lunarc)
Course web page and registration
More information and registrations is available from the Lunarc webpage
