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Tenth INFN International School on: "Architectures, tools and methodologies for developing efficient large scale scientific computing applications" ESC18 - Bertinoro (Forlì-Cesena) Italy 21-27 October 2018

21–27 Oct 2018
Bertinoro
Europe/Rome timezone

Contribution List

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13. Welcome and introduction
Mauro Morandin (INFN - Padova)
22/10/2018, 09:00
14. Computer Architecture evolution and the performance challenge
Vincenzo Innocente (CERN)
22/10/2018, 09:30
15. Computer Architecture evolution and the performance challenge
Vincenzo Innocente (CERN)
22/10/2018, 11:00
16. Hands-on environment checkout
Dr Francesco Giacomini (CNAF)
22/10/2018, 11:45
17. Efficient C++ programming
Dr Francesco Giacomini (CNAF)
22/10/2018, 14:00
18. Efficient C++ programming
Dr Francesco Giacomini (CNAF)
22/10/2018, 14:45
19. Efficient C++ programming
Dr Francesco Giacomini (CNAF)
22/10/2018, 16:00
20. Consolidation
22/10/2018, 16:45
21. Students lightning presentations
22/10/2018, 17:15
0. Efficient Memory Management
Vincenzo Innocente (CERN)
23/10/2018, 08:30
1. Efficient Memory Management
Vincenzo Innocente (CERN)
23/10/2018, 09:15
2. Efficient C++ programming
Francesco Giacomini (CNAF)
23/10/2018, 10:30
3. Efficient C++ programming
Francesco Giacomini (CNAF)
23/10/2018, 11:15
4. Consolidation
23/10/2018, 12:00
5. Introduction to parallel computing
Dr Felice Pantaleo (CERN)
23/10/2018, 15:00
6. Parallel Programming in C++
Dr Felice Pantaleo (CERN)
23/10/2018, 15:45
7. Parallel Programming with C++
Dr Felice Pantaleo (CERN)
23/10/2018, 17:00
8. Students lightning presentations
23/10/2018, 17:45
31. Efficient C++ programming
Francesco Giacomini (CNAF)
24/10/2018, 08:30
32. Efficient C++ programming
Francesco Giacomini (CNAF)
24/10/2018, 09:15
33. Introduction to Intel Threading Building Blocks
Dr Felice Pantaleo (CERN)
24/10/2018, 10:30
35. Consolidation
24/10/2018, 12:00
36. Introduction to GPU Programming using CUDA
Dr Felice Pantaleo (CERN)
24/10/2018, 14:30
37. Introduction to GPU Programming using CUDA
Dr Felice Pantaleo (CERN)
24/10/2018, 16:15
38. Consolidation
24/10/2018, 17:00
22. Efficient floating-point computation and vectorization
Vincenzo Innocente (CERN)
25/10/2018, 08:30
23. Efficient floating-point computation and vectorization
Vincenzo Innocente (CERN)
25/10/2018, 09:15
24. Efficient floating-point computation and vectorization
Vincenzo Innocente (CERN)
25/10/2018, 10:30
25. Consolidation
25/10/2018, 11:15
26. Cooperating GPU threads: Shared memory and Synchronization
Dr Felice Pantaleo (CERN)
25/10/2018, 13:45
27. Cooperating GPU threads: Shared memory and Synchronization
Dr Felice Pantaleo (CERN)
25/10/2018, 14:30
28. Consolidation
25/10/2018, 15:15
29. Consolidation
25/10/2018, 16:45
30. Evening lecture - Quantum computers and quantum computing: a breakthrough in information processing and in machines programming
Michele Grossi (IBM)
25/10/2018, 18:00
We are at a turning point in quantum computing. The disciplines of quantum mechanics and information science have reached a level of maturity that allows us to build the first quantum computers and calculate some algorithms.This radically new kind of computing holds open the possibility of solving some problems that are now and perhaps always will be intractable for “classical”...
39. GPUs management and streams
Dr Felice Pantaleo (CERN)
26/10/2018, 09:00
41. Programming Clusters with MPI
Dr Felice Pantaleo (CERN)
26/10/2018, 10:30
42. Cluster Computing with MPI
26/10/2018, 11:15
43. Consolidation
26/10/2018, 12:00
44. Cluster Computing with MPI
26/10/2018, 14:30
45. Consolidation
26/10/2018, 15:45
47. Consolidation
26/10/2018, 17:00
9. Students feedback
27/10/2018, 08:30
10. Final examination
27/10/2018, 09:00
11. Delivery of certificates of attendance
27/10/2018, 11:30
12. Shuttle departure (to Forli' railway station)
27/10/2018, 13:30
49. Consolidation
51. Consolidation
53. Consolidation
54. Floating point computing efficiency
Vincenzo Innocente (CERN)
55. 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)
46. Information
Mauro Morandin (PD)
48. Surviving the Red Queen’s Race: A guide for the perplexed programmer
Dr Tim Mattson (Intel)
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...
50. Vectorization
Vincenzo Innocente (CERN)
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