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Hybrid computer cluster

The final report to the Croatian Science Foundation. Report to the Croatian Science Foundation. Collaboration with the LSST project. Is an experimental cluster that explores an emerging revolutionary High Performance Computing technology based on transforming Graphical Processing Units (GPUs) into low-cost (per MFLOP) general-purpose computation units (GPGPUs). It will combine two quad-core processors and NVIDIA TESLA 10 series GPUs that support calculations in double precision. 8 Gb memory per node.

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Dejan Vinkovic

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Hybrid computer cluster | gpuhybrid.org Reviews
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The final report to the Croatian Science Foundation. Report to the Croatian Science Foundation. Collaboration with the LSST project. Is an experimental cluster that explores an emerging revolutionary High Performance Computing technology based on transforming Graphical Processing Units (GPUs) into low-cost (per MFLOP) general-purpose computation units (GPGPUs). It will combine two quad-core processors and NVIDIA TESLA 10 series GPUs that support calculations in double precision. 8 Gb memory per node.
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2 blog
3 twitter
4 wiki
5 contact the team
6 aabout hybrid
7 hybrid
8 and wiki pages
9 cluster hybrid
10 using psdtuts
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Hybrid computer cluster | gpuhybrid.org Reviews

https://gpuhybrid.org

The final report to the Croatian Science Foundation. Report to the Croatian Science Foundation. Collaboration with the LSST project. Is an experimental cluster that explores an emerging revolutionary High Performance Computing technology based on transforming Graphical Processing Units (GPUs) into low-cost (per MFLOP) general-purpose computation units (GPGPUs). It will combine two quad-core processors and NVIDIA TESLA 10 series GPUs that support calculations in double precision. 8 Gb memory per node.

INTERNAL PAGES

gpuhybrid.org gpuhybrid.org
1

HybridWiki

http://www.gpuhybrid.org/wiki

Basic information on the cluster configuration. Our Lectures and tutorials. Get familiar with MediaWiki. Basic information on the cluster configuration. Homepage: http:/ www.gpuhybrid.org. Cluster status: http:/ hybrid.pmfst.hr/ganglia. And http:/ hybrid.pmfst.hr/munin. Blog: http:/ gpuhybrid.blogspot.com. Twitter: http:/ twitter.com/gpuhybrid. CPU: 2x Xeon E5405 @ 2.0 GHz,8 processor cores in total. CPU: 2x Xeon E5405 @ 2.0 GHz, 8 processor cores in total per node. OS: CentOS 5.4 (x86-64). Programiranje...

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LINKS TO THIS WEBSITE

gpuhybrid.blogspot.com gpuhybrid.blogspot.com

Hybrid Computer Cluster Project: November 2009

http://gpuhybrid.blogspot.com/2009_11_01_archive.html

Hybrid Computer Cluster Project. GPU/CPU Hybrid Computing in Croatia. Wednesday, November 25, 2009. Our first introductory lecture on using GPUs. We are organizing our first open lecture on using GPUs for general purpose computing. It is taking place at the Physics Department, University of Split, on 3. December 2009. A two hour lecture is going to be in Croatian. RAČUNANJE NA GRAFIČKIM KARTICAMA. 3122009 u 18-20h, I kat, Kopilica 2, Split,. Kako doći do nas: ucrtano na karti grada. Wiki pages (cluster d...

gpuhybrid.blogspot.com gpuhybrid.blogspot.com

Hybrid Computer Cluster Project: 1st report to the Croatian Science Foundation

http://gpuhybrid.blogspot.com/2009/05/1st-report-to-croatian-science.html

Hybrid Computer Cluster Project. GPU/CPU Hybrid Computing in Croatia. Thursday, May 14, 2009. 1st report to the Croatian Science Foundation. Our project of building a hybrid GPU-CPU cluster is financed by the Croatian Science Foundation. The project lasts for one year and here you can find the first half-year report to the Foundation. The report describes what we have done so far and the problems we encountered during that period. It also provides details on the financial aspects of the project.

gpuhybrid.blogspot.com gpuhybrid.blogspot.com

Hybrid Computer Cluster Project: First Node and Tesla Unit Active

http://gpuhybrid.blogspot.com/2009/03/first-node-and-tesla-unit-active.html

Hybrid Computer Cluster Project. GPU/CPU Hybrid Computing in Croatia. Wednesday, March 11, 2009. First Node and Tesla Unit Active. Yesterday, March 10th 2008, we successfully booted and provisionally set up the first two CPU nodes (2 quad core CPUs each) paired with one quad-GPU Tesla S1070 unit. Present at the happy event was the entire team (Dubravko, Jurica, Dejan and Mario - see the photos), but the credit for setting everything up goes entirely to Jurica and Dubravko. Zoom-in on Tesla S1070.

iszd.hr iszd.hr

Activities | Science and Society Synergy Institute

http://iszd.hr/activities

Science and Society Synergy Institute. Contact & Location. Centre for Advancement of Education. High Performance Computing Centre. Centre for Social Research and Policy Development. The S3I institute is involved in preparation of various project proposals that span a wide range of research topics: physics, astronomy, biology, computer science, sociology, education, etc. In 2013 S3I was a recipient of the Google RISE award. For an educational project in colaboration with Summer Science Factory. On utiliza...

gpuhybrid.blogspot.com gpuhybrid.blogspot.com

Hybrid Computer Cluster Project: January 2010

http://gpuhybrid.blogspot.com/2010_01_01_archive.html

Hybrid Computer Cluster Project. GPU/CPU Hybrid Computing in Croatia. Monday, January 4, 2010. The final report to the Croatian Science Foundation. Our project of building a hybrid GPU-CPU cluster is financed by the Croatian Science Foundation. The project has been funded for one year and here you can find the final report to the Foundation. The report describes what we have done and the problems we encountered during that period. It also provides details on the financial aspects of the project.

gpuhybrid.blogspot.com gpuhybrid.blogspot.com

Hybrid Computer Cluster Project: August 2010

http://gpuhybrid.blogspot.com/2010_08_01_archive.html

Hybrid Computer Cluster Project. GPU/CPU Hybrid Computing in Croatia. Thursday, August 12, 2010. Presentation of our results at the LSST All Hands Meeting. LSST All Hands Meeting. Brings together people who work on the LSST project. So that they can exchange the latest information on the work of their individual groups and talk about the next collaborative projects. The main aim is to push LSST project toward realization. Subscribe to: Posts (Atom). Wiki pages (cluster details). Follow me on Twitter.

gpuhybrid.blogspot.com gpuhybrid.blogspot.com

Hybrid Computer Cluster Project: Collaboration with the LSST project

http://gpuhybrid.blogspot.com/2010/01/collaboration-with-lsst-project.html

Hybrid Computer Cluster Project. GPU/CPU Hybrid Computing in Croatia. Sunday, January 3, 2010. Collaboration with the LSST project. The Large Synoptic Survey Telescope. Project (LSST) is the most ambitious ongoing project in the US astronomy. For the first time, the LSST will provide time-lapse digital imaging of faint astronomical objects across the entire sky. The LSST has been identified as a US scientific priority in reports by diverse national panels. In Washington, DC, in January 2010.

gpuhybrid.blogspot.com gpuhybrid.blogspot.com

Hybrid Computer Cluster Project: Programming on GPUs using CUDA (a manual written in Croatian)

http://gpuhybrid.blogspot.com/2009/07/programming-on-gpus-using-cuda-manual.html

Hybrid Computer Cluster Project. GPU/CPU Hybrid Computing in Croatia. Thursday, July 16, 2009. Programming on GPUs using CUDA (a manual written in Croatian). Thanks to Matija Piškorec, a student from the Faculty of Electrical Engineering and Computing. University of Zagreb, we now have a Croatian manual on writing codes in CUDA. His booklet is written in Croatian and contains step by step explanations and examples of codes in CUDA. He used our GPU/CPU cluster to run and test the codes.

gpuhybrid.blogspot.com gpuhybrid.blogspot.com

Hybrid Computer Cluster Project: Our first introductory lecture on using GPUs

http://gpuhybrid.blogspot.com/2009/11/our-first-introductory-lecture-on-using.html

Hybrid Computer Cluster Project. GPU/CPU Hybrid Computing in Croatia. Wednesday, November 25, 2009. Our first introductory lecture on using GPUs. We are organizing our first open lecture on using GPUs for general purpose computing. It is taking place at the Physics Department, University of Split, on 3. December 2009. A two hour lecture is going to be in Croatian. RAČUNANJE NA GRAFIČKIM KARTICAMA. 3122009 u 18-20h, I kat, Kopilica 2, Split,. Kako doći do nas: ucrtano na karti grada. Subscribe to: Post Co...

gpuhybrid.blogspot.com gpuhybrid.blogspot.com

Hybrid Computer Cluster Project: The very first test of the visualization equipment

http://gpuhybrid.blogspot.com/2009/07/very-first-testing-of-visualization.html

Hybrid Computer Cluster Project. GPU/CPU Hybrid Computing in Croatia. Wednesday, July 22, 2009. The very first test of the visualization equipment. Yesterday evening we performed the very first test of our visualization equipment. There are still details to tweak, but the very first view convinced us that it is worth the money invested. Subscribe to: Post Comments (Atom). Wiki pages (cluster details). Wiki pages (cluster details). Supported by the Croatian Science Foundation. Follow me on Twitter.

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Hybrid Computer Cluster Project

Hybrid Computer Cluster Project. GPU/CPU Hybrid Computing in Croatia. Thursday, August 12, 2010. Presentation of our results at the LSST All Hands Meeting. LSST All Hands Meeting. Brings together people who work on the LSST project. So that they can exchange the latest information on the work of their individual groups and talk about the next collaborative projects. The main aim is to push LSST project toward realization. Monday, April 5, 2010. New job scheduler on Hybrid. Monday, January 4, 2010. Sunday...

gpuhybrid.org gpuhybrid.org

Hybrid computer cluster

The final report to the Croatian Science Foundation. Report to the Croatian Science Foundation. Collaboration with the LSST project. Is an experimental cluster that explores an emerging revolutionary High Performance Computing technology based on transforming Graphical Processing Units (GPUs) into low-cost (per MFLOP) general-purpose computation units (GPGPUs). It will combine two quad-core processors and NVIDIA TESLA 10 series GPUs that support calculations in double precision. 8 Gb memory per node.

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