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Eighth INFN International School on: "Architectures, tools and methodologies for developing efficient large scale scientific computing applications" ESC16 - Bertinoro (Forlì-Cesena) Italy 23-29 October 2016

23–29 Oct 2016
Bertinoro
Europe/Rome timezone

Session

Sessione di venerdi'

28 Oct 2016, 08:30
Bertinoro

Bertinoro

Presentation materials

There are no materials yet.

  1. 0. Programming GPUs with OpenCL: Kernel programs
    Dr Tim Mattson (Intel)
    28/10/2016, 08:30
  2. 1. Programming GPUs with OpenCL: Performance issues
    Dr Tim Mattson (Intel)
    28/10/2016, 09:15
  3. 2. Lecture
    28/10/2016, 10:30
  4. 3. Cluster Computing with MPI
    Dr Tim Mattson (Intel)
    28/10/2016, 11:15
  5. 4. Consolidation
    28/10/2016, 12:00
  6. 5. The 10 core constructs every MPI programmer should know
    Dr Tim Mattson (Intel)
    28/10/2016, 14:30
  7. 6. Geometric decomposition and MPI
    Dr Tim Mattson (Intel)
    28/10/2016, 15:45
  8. 7. Information
    Mauro Morandin (PD)
    28/10/2016, 17:00
  9. 8. Consolidation
    28/10/2016, 17:05
  10. 9. Evening lecture: The future of Big Data: Polystore, specialized storage engines, and embedded analytics.
    Dr Tim Mattson (Intel)
    28/10/2016, 18:30
    Theory is nice when trying to understand Big Data systems, but nothing beats experience with real data. Working with the MIMIC II data set (data from an intensive care unit) we've concluded that: 1. Data must match the storage engine if you care about performance 2. Data in flat files is almost equivalent to deleting it. Or, turning these conclusions into slogans, "one size does not fit...
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