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Ninth INFN International School on: "Architectures, tools and methodologies for developing efficient large scale scientific computing applications" ESC17 - Bertinoro (Forlì-Cesena) Italy 22-28 October 2017

22–28 Oct 2017
Bertinoro
Europe/Rome timezone

Contribution List

58 / 58
9. Welcome and introduction
Mauro Morandin (INFN - Padova)
23/10/2017, 09:00
10. Computer Architecture evolution and the performance challenge
Vincenzo Innocente (CERN)
23/10/2017, 09:30
11. Computer Architecture evolution and the performance challenge
Vincenzo Innocente (CERN)
23/10/2017, 11:00
12. Hands-on environment checkout
Dr Francesco Giacomini (CNAF)
23/10/2017, 11:45
14. Efficient C++ programming and memory management
Dr Francesco Giacomini (CNAF)
23/10/2017, 14:00
15. Efficient C++ programming and memory management
Dr Francesco Giacomini (CNAF)
23/10/2017, 14:45
16. Efficient C++ programming and memory management
Dr Francesco Giacomini (CNAF)
23/10/2017, 16:00
17. Consolidation
23/10/2017, 16:45
18. Students lightning presentations
23/10/2017, 17:15
0. Efficient C++ programming and memory management
Dr Francesco Giacomini (CNAF)
24/10/2017, 08:30
1. Efficient C++ programming and memory management
Dr Francesco Giacomini (CNAF)
24/10/2017, 09:15
2. Efficient C++ programming and memory management
Francesco Giacomini (CNAF)
24/10/2017, 10:30
3. Efficient C++ programming and memory management
Francesco Giacomini (CNAF)
24/10/2017, 11:15
4. Consolidation
24/10/2017, 12:00
5. Introduction to parallel computing (basic concepts)
Dr Tim Mattson (Intel)
24/10/2017, 15:00
6. Introduction to parallel computing with OpenMP
Dr Tim Mattson (Intel)
24/10/2017, 15:45
7. Parallel Performance concepts using OpenMP
Dr Tim Mattson (Intel)
24/10/2017, 17:00
8. Students lightning presentations
24/10/2017, 17:45
23. Efficient C++ programming and memory management
Francesco Giacomini (CNAF)
25/10/2017, 08:30
24. Efficient C++ programming and memory management
Francesco Giacomini (CNAF)
25/10/2017, 09:15
25. A "Hands-on" introduction to OpenMP
Dr Tim Mattson (Intel)
25/10/2017, 10:30
26. A "Hands-on" introduction to OpenMP
Dr Tim Mattson (Intel)
25/10/2017, 11:15
27. Consolidation
25/10/2017, 12:00
28. Working with OpenMP: Performance Optimization
Dr Tim Mattson (Intel)
25/10/2017, 15:00
29. Working with OpenMP: Debugging Applications
Dr Tim Mattson (Intel)
25/10/2017, 16:45
30. Consolidation
25/10/2017, 17:30
32. Efficient floating-point computation and vectorization
Vincenzo Innocente (CERN)
26/10/2017, 08:30
33. Efficient floating-point computation and vectorization
Vincenzo Innocente (CERN)
26/10/2017, 09:15
34. Efficient floating-point computation and vectorization
Vincenzo Innocente (CERN)
26/10/2017, 10:30
35. Consolidation
26/10/2017, 11:15
36. GPUs and the Heterogeneous programming problem
Dr Tim Mattson (Intel)
26/10/2017, 12:15
37. GPU programming with OpenCL: Ideas and the host program
Dr Tim Mattson (Intel)
26/10/2017, 14:30
38. Consolidation
26/10/2017, 15:15
39. Consolidation
26/10/2017, 16:45
57. From HPC to Deep Learning, a short journey on modern techniques
Piero Altoè (NVIDIA)
26/10/2017, 18:00
Software design of legacy high-performance computing (HPC) applications is heavily influenced by the frequent changes on the architectures. The classic CPU-based approach with communication libraries is not sufficient to scale beyond the limit of Amdahl law and Dennard scaling. Silicon manufacturers design alternative architectures and programming models to overcome this limitation, leading to...
40. Programming GPUs with OpenCL: Kernel programs
Dr Tim Mattson (Intel)
27/10/2017, 08:30
41. Using GPUs with other programming models
Dr Tim Mattson (Intel)
27/10/2017, 09:15
42. GPGPU epilog
27/10/2017, 10:30
43. Cluster Computing with MPI
Dr Tim Mattson (Intel)
27/10/2017, 11:15
44. Consolidation
27/10/2017, 12:00
45. The 10 core constructs every MPI programmer should know
Dr Tim Mattson (Intel)
27/10/2017, 14:30
46. Geometric decomposition and MPI
Dr Tim Mattson (Intel)
27/10/2017, 15:45
47. Information
Mauro Morandin (PD)
27/10/2017, 17:00
48. Consolidation
27/10/2017, 17:05
49. Surviving the Red Queen’s Race: A guide for the perplexed programmer
Dr Tim Mattson (Intel)
27/10/2017, 18:00
The Red Queen’s race is an important hypothesis in evolutionary biology raised to explain the impact of competition on the rate of evolution. I submit that it is an excellent analogy for the hardware chaos we are now facing. The question is, what can programmers do to survive as the hardware literally changes underneath them? In this talk we will look at trends in hardware and explore...
19. Students feedback
28/10/2017, 08:30
20. Final examination
28/10/2017, 09:00
21. Delivery of certificates of attendance
28/10/2017, 11:30
22. Shuttle departure (to Forli' railway station)
28/10/2017, 13:30
51. Consolidation
53. Consolidation
56. Consolidation
31. Evening Lecture "Go: a different tack at building concurrent programs that grow with grace"
Dr Sebastien Binet (LPC/IN2P3)
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.
55. Floating point computing efficiency
Vincenzo Innocente (CERN)
50. GPU programming with OpenCL: Core Ideas and the host program
Dr Tim Mattson (Intel)
52. GPUs and the Heterogeneous programming problem
Dr Tim Mattson (Intel)
54. Vectorization
Vincenzo Innocente (CERN)
13. Welcome by the Director of the INFN Padova site
Mauro Mezzetto (PD)
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