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

Session

Sessione di venerdi'

28 Oct 2016, 08:30

Bertinoro

0. Programming GPUs with OpenCL: Kernel programs

Dr Tim Mattson (Intel)

28/10/2016, 08:30

1. Programming GPUs with OpenCL: Performance issues

Dr Tim Mattson (Intel)

28/10/2016, 09:15

2. Lecture

28/10/2016, 10:30

3. Cluster Computing with MPI

Dr Tim Mattson (Intel)

28/10/2016, 11:15

4. Consolidation

28/10/2016, 12:00

5. The 10 core constructs every MPI programmer should know

Dr Tim Mattson (Intel)

28/10/2016, 14:30

6. Geometric decomposition and MPI

Dr Tim Mattson (Intel)

28/10/2016, 15:45

7. Information

Mauro Morandin (PD)

28/10/2016, 17:00

8. Consolidation

28/10/2016, 17:05

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...