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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

Oct 23 – 29, 2016
Bertinoro
Europe/Rome timezone

Contribution List

59 / 59
10. Welcome and introduction
Mauro Morandin (INFN - Padova)
10/24/16, 9:00 AM
11. Computer Architecture evolution and the performance challenge
Vincenzo Innocente (CERN)
10/24/16, 9:30 AM
12. Computer Architecture evolution and the performance challenge
Vincenzo Innocente (CERN)
10/24/16, 11:00 AM
13. Hands-on environment checkout
Dr Francesco Giacomini (CNAF)
10/24/16, 11:45 AM
57. Welcome by the Director of the INFN Padova site
Mauro Mezzetto (PD)
10/24/16, 2:00 PM
14. Efficient C++ programming and memory management
Dr Francesco Giacomini (CNAF)
10/24/16, 2:10 PM
15. Efficient C++ programming and memory management
Dr Francesco Giacomini (CNAF)
10/24/16, 2:55 PM
16. Efficient C++ programming and memory management
Dr Francesco Giacomini (CNAF)
10/24/16, 4:10 PM
17. Consolidation
10/24/16, 4:55 PM
18. Students lightning presentations
10/24/16, 5:25 PM
19. Efficient C++ programming and memory management
Dr Francesco Giacomini (CNAF)
10/25/16, 8:30 AM
20. Efficient C++ programming and memory management
Dr Francesco Giacomini (CNAF)
10/25/16, 9:15 AM
21. Efficient C++ programming and memory management
Francesco Giacomini (CNAF)
10/25/16, 10:30 AM
22. Efficient C++ programming and memory management
Francesco Giacomini (CNAF)
10/25/16, 11:15 AM
23. Consolidation
10/25/16, 12:00 PM
24. Introduction to parallel computing (basic concepts)
Dr Tim Mattson (Intel)
10/25/16, 3:00 PM
25. Introduction to parallel computing with OpenMP
Dr Tim Mattson (Intel)
10/25/16, 3:45 PM
26. Parallel Performance concepts using OpenMP
Dr Tim Mattson (Intel)
10/25/16, 5:00 PM
27. Students lightning presentations
10/25/16, 5:45 PM
28. Efficient C++ programming and memory management
Francesco Giacomini (CNAF)
10/26/16, 8:30 AM
29. Efficient C++ programming and memory management
Francesco Giacomini (CNAF)
10/26/16, 9:15 AM
30. A "Hands-on" introduction to OpenMP
Dr Tim Mattson (Intel)
10/26/16, 10:30 AM
31. A "Hands-on" introduction to OpenMP
Dr Tim Mattson (Intel)
10/26/16, 11:15 AM
32. Consolidation
10/26/16, 12:00 PM
33. Working with OpenMP: Performance Optimization
Dr Tim Mattson (Intel)
10/26/16, 2:30 PM
34. Working with OpenMP: Debugging Applications
Dr Tim Mattson (Intel)
10/26/16, 3:45 PM
35. Consolidation
10/26/16, 5:00 PM
36. Evening Lecture "Go: a different tack at building concurrent programs that grow with grace"
Dr Sebastien Binet (LPC/IN2P3)
10/26/16, 6:30 PM
In this talk, we'll introduce the basic concepts of Go, focusing on its concurrency primitives and its interface model. We'll see how these concepts, together with a great tooling and quick edit-compile-run cycle allow for a great development environment. Finally, we'll touch on how these assets apply to science software: from control frameworks to soft real-time data acquisition systems.
50. Efficient floating-point computation and vectorization
Vincenzo Innocente (CERN)
10/27/16, 8:30 AM
42. Efficient floating-point computation and vectorization
Vincenzo Innocente (CERN)
10/27/16, 9:15 AM
51. Efficient floating-point computation and vectorization
Vincenzo Innocente (CERN)
10/27/16, 10:30 AM
53. Consolidation
10/27/16, 11:15 AM
52. GPUs and the Heterogeneous programming problem
Dr Tim Mattson (Intel)
10/27/16, 12:15 PM
54. GPU programming with OpenCL: Ideas and the host program
Dr Tim Mattson (Intel)
10/27/16, 3:30 PM
55. Consolidation
10/27/16, 4:15 PM
58. Consolidation
10/27/16, 5:45 PM
0. Programming GPUs with OpenCL: Kernel programs
Dr Tim Mattson (Intel)
10/28/16, 8:30 AM
1. Programming GPUs with OpenCL: Performance issues
Dr Tim Mattson (Intel)
10/28/16, 9:15 AM
2. Lecture
10/28/16, 10:30 AM
3. Cluster Computing with MPI
Dr Tim Mattson (Intel)
10/28/16, 11:15 AM
4. Consolidation
10/28/16, 12:00 PM
5. The 10 core constructs every MPI programmer should know
Dr Tim Mattson (Intel)
10/28/16, 2:30 PM
6. Geometric decomposition and MPI
Dr Tim Mattson (Intel)
10/28/16, 3:45 PM
7. Information
Mauro Morandin (PD)
10/28/16, 5:00 PM
8. Consolidation
10/28/16, 5:05 PM
9. Evening lecture: The future of Big Data: Polystore, specialized storage engines, and embedded analytics.
Dr Tim Mattson (Intel)
10/28/16, 6:30 PM
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...
37. Students feedback
10/29/16, 8:30 AM
38. Final examination
10/29/16, 9:00 AM
39. Delivery of certificates of attendance
10/29/16, 11:30 AM
40. Shuttle departure (to Forli' railway station)
10/29/16, 1:30 PM
45. Consolidation
47. Consolidation
48. Consolidation
56. Consolidation
49. Evening lecture: "Low-power computing with System-on-Chips"
Daniele Cesini (CNAF)
The embedded and high-performance computing sectors have in the past been very isolated and unaware of each other’s needs and technologies. Similar isolations have occurred between HPC and the mobile/tablets commodity markets. We are now experiencing a very important convergence between markets, both in constraints and needs as well as in technologies. High computational demands, power...
41. Floating point computing efficiency
Vincenzo Innocente (CERN)
46. GPU programming with OpenCL: Core Ideas and the host program
Dr Tim Mattson (Intel)
44. GPUs and the Heterogeneous programming problem
Dr Tim Mattson (Intel)
43. Vectorization
Vincenzo Innocente (CERN)
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