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An Overview of High Performance Computing and Challenges for the Future

 
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Manage episode 60658694 series 60629
Indhold leveret af Scale Cast – A podcast about big data, distributed systems, and scalability. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Scale Cast – A podcast about big data, distributed systems, and scalability eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

Artwork
iconDel
 
Manage episode 60658694 series 60629
Indhold leveret af Scale Cast – A podcast about big data, distributed systems, and scalability. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Scale Cast – A podcast about big data, distributed systems, and scalability eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

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