Difference between revisions of "Training:SS2017"
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(→The 2017 Compute Ontario Summer School on Scientific and High Performance Computing (East)) |
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__NOTOC__ | __NOTOC__ | ||
| − | = 2017 Ontario | + | = The 2017 Compute Ontario Summer School <br> on Scientific and High Performance Computing (East) = |
| − | [[File: | + | [[File:Queens.jpg|thumb|left|alt=|Queen's]]<br> |
{| style="border-spacing: 8px;" | {| style="border-spacing: 8px;" | ||
| − | | valign="top" width=" | + | | valign="top" width="100%" style="padding:1em; border:1px solid #aaaaaa; background-color:#e1eaf1; border-radius:7px" | |
| − | + | The '''Compute Ontario Summer School on High Performance and Technical Computing''' is an annual educational event for graduate/undergraduate students, postdocs and researchers who are engaged in compute intensive research. Held geographically in the west, centre and east of the province of Ontario, the summer school provides attendees with the opportunity to learn and share knowledge and experience in high performance and technical computing on modern HPC platforms. | |
| − | This | + | This year's '''"East Event"''' takes place at '''Queen's University''' and is organized and hosted by the Centre for Advanced Computing. The five full-days dual stream summer school offers intensive courses on a number of selected subjects, including |
| + | * Programming distributed systems using message passing (MPI); | ||
| + | * Programming shared memory systems with threads (OpenMP and P-threads); | ||
| + | * Programming GPGPUs (CUDA); | ||
| + | * Common programming languages: Modern Fortran, R, Python, and Julia; | ||
| − | + | This is the local information page for the East instalment of the Summer School, which is hosted by the '''Centre for Advanced Computing at Queen's University''' (formerly HPCVL). | |
| − | * Home: | + | The [https://sharcnet.ca/events/ss2017/ main event page] for all three instalments is hosted by SHARCNET. |
| + | |||
| + | * Home: https://sharcnet.ca/events/ss2017 | ||
* [[Training:SS2017:Program|Program]] | * [[Training:SS2017:Program|Program]] | ||
| − | * [https:// | + | * [https://cac-staff.github.io/summer-school-2017/ '''Github Page (with course materials)'''] |
| − | * [[Training:SS2017:Venue| | + | * [[Training:SS2017:Venue| Venue]] |
* [http://www.queensu.ca/ Queen's University] | * [http://www.queensu.ca/ Queen's University] | ||
| − | * [[Training:SS2017:Info| | + | * [[Training:SS2017:Info| Information for Participants]] |
* [[Training:SS2017:Contacts|Contacts]] | * [[Training:SS2017:Contacts|Contacts]] | ||
<pre> | <pre> | ||
This event will take place at | This event will take place at | ||
| − | Queen's University in Kingston | + | Queen's University in Kingston |
| + | Dunning Hall Rms 11/12 | ||
| + | 94 University Avenue | ||
July 31 - August 4, 2017 | July 31 - August 4, 2017 | ||
</pre> | </pre> | ||
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Latest revision as of 17:48, 8 August 2017
The 2017 Compute Ontario Summer School
on Scientific and High Performance Computing (East)
|
The Compute Ontario Summer School on High Performance and Technical Computing is an annual educational event for graduate/undergraduate students, postdocs and researchers who are engaged in compute intensive research. Held geographically in the west, centre and east of the province of Ontario, the summer school provides attendees with the opportunity to learn and share knowledge and experience in high performance and technical computing on modern HPC platforms. This year's "East Event" takes place at Queen's University and is organized and hosted by the Centre for Advanced Computing. The five full-days dual stream summer school offers intensive courses on a number of selected subjects, including
This is the local information page for the East instalment of the Summer School, which is hosted by the Centre for Advanced Computing at Queen's University (formerly HPCVL). The main event page for all three instalments is hosted by SHARCNET.
This event will take place at Queen's University in Kingston Dunning Hall Rms 11/12 94 University Avenue July 31 - August 4, 2017 |
