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An Overview of High Performance Computing and Challenges for the Future

 
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Manage episode 60658694 series 60629
Content provided by Scale Cast – A podcast about big data, distributed systems, and scalability. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Scale Cast – A podcast about big data, distributed systems, and scalability or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this talk we examine how high performance computing has changed
over the last 10-year and look toward the future in terms of trends.
These changes have had and will continue to have a major impact on our
software. A new generation of software libraries and algorithms are
needed for the effective and reliable use of (wide area) dynamic,
distributed and parallel environments. Some of the software and
algorithm challenges have already been encountered, such as management
of communication and memory hierarchies through a combination of
compile–time and run–time techniques, but the increased scale of
computation, depth of memory hierarchies, range of latencies, and
increased run–time environment variability will make these problems
much harder.

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  continue reading

9 episodes

Artwork
iconShare
 
Manage episode 60658694 series 60629
Content provided by Scale Cast – A podcast about big data, distributed systems, and scalability. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Scale Cast – A podcast about big data, distributed systems, and scalability or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this talk we examine how high performance computing has changed
over the last 10-year and look toward the future in terms of trends.
These changes have had and will continue to have a major impact on our
software. A new generation of software libraries and algorithms are
needed for the effective and reliable use of (wide area) dynamic,
distributed and parallel environments. Some of the software and
algorithm challenges have already been encountered, such as management
of communication and memory hierarchies through a combination of
compile–time and run–time techniques, but the increased scale of
computation, depth of memory hierarchies, range of latencies, and
increased run–time environment variability will make these problems
much harder.

Link to video

  continue reading

9 episodes

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