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Seventh INFN International School on: "Architectures, tools and methodologies for developing efficient large scale scientific computing applications" ESC15 - Bertinoro (Forlì-Cesena) Italy 25-31 October 2015

25–31 Oct 2015
Bertinoro
Europe/Rome timezone

Contribution List

51 out of 51 displayed
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  1. 8. Welcome and introduction
    Mauro Morandin (INFN - Padova)
    26/10/2015, 09:00
  2. 10. Computer Architecture evolution and the performance challenge
    Vincenzo Innocente (CERN)
    26/10/2015, 09:30
  3. 11. Computer Architecture evolution and the performance challenge
    Vincenzo Innocente (CERN)
    26/10/2015, 11:00
  4. 12. Hands-on environment checkout
    Dr Francesco Giacomini (CNAF), Giulio Eulisse (CERN)
    26/10/2015, 11:45
  5. 13. Efficient C++ coding
    Dr Francesco Giacomini (CNAF)
    26/10/2015, 14:00
  6. 14. Efficiency C++ coding
    Dr Francesco Giacomini (CNAF)
    26/10/2015, 14:45
  7. 62. C++ Hands-on
    Dr Francesco Giacomini (CNAF)
    26/10/2015, 16:00
  8. 15. Consolidation
    26/10/2015, 16:45
  9. 16. Students lightning presentations
    26/10/2015, 17:15
  10. 22. Efficient C++ coding
    Dr Francesco Giacomini (CNAF)
    27/10/2015, 08:30
  11. 23. Efficient C++ coding
    Dr Francesco Giacomini (CNAF)
    27/10/2015, 09:15
  12. 24. Efficient Memory management
    Giulio Eulisse (CERN)
    27/10/2015, 10:30
  13. 25. Efficient Memory management
    Giulio Eulisse (CERN)
    27/10/2015, 11:15
  14. 26. Consolidation
    27/10/2015, 12:00
  15. 27. Introduction to parallel computing (basic concepts)
    Dr Tim Mattson (Intel)
    27/10/2015, 15:00
  16. 28. Introduction to parallel computing with OpenMP
    Dr Tim Mattson (Intel)
    27/10/2015, 15:45
  17. 29. Parallel Performance concepts using OpenMP
    Dr Tim Mattson (Intel)
    27/10/2015, 17:00
  18. 30. Students lightning presentations
    27/10/2015, 17:45
  19. 17. Efficient Memory management
    Giulio Eulisse (CERN)
    28/10/2015, 08:30
  20. 18. Efficient Memory management
    Giulio Eulisse (CERN)
    28/10/2015, 09:15
  21. 19. A "Hands-on" introduction to OpenMP
    Dr Tim Mattson (Intel)
    28/10/2015, 10:30
  22. 20. A "Hands-on" introduction to OpenMP
    Dr Tim Mattson (Intel)
    28/10/2015, 11:15
  23. 21. Consolidation
    28/10/2015, 12:00
  24. 48. Working with OpenMP: Performance Optimization
    Dr Tim Mattson (Intel)
    28/10/2015, 15:00
  25. 49. Working with OpenMP: Debugging Applications
    Dr Tim Mattson (Intel)
    28/10/2015, 15:45
  26. 50. Consolidation
    28/10/2015, 17:00
  27. 51. Evening Lecture: "Are we going back to the RISC era?"
    Mr Sverre Jarp (CERN)
    28/10/2015, 18:30
    The computer industry typically moves forwards in spirals with hardware or software moving from being deprecated (and even being laughed at) to being the hottest feature imaginable. Think of virtualization as an example. It existed on IBM mainframes already more than 30 years ago. The speaker will debate whether the "world" is interested in spiralling back to multivendor hardware solutions...
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  28. 39. Floating point computing efficiency
    Vincenzo Innocente (CERN)
    29/10/2015, 08:30
  29. 40. Floating point computing efficiency
    Vincenzo Innocente (CERN)
    29/10/2015, 09:15
  30. 53. Vectorization
    Vincenzo Innocente (CERN)
    29/10/2015, 10:30
  31. 41. GPUs and the Heterogeneous programming problem
    Dr Tim Mattson (Intel)
    29/10/2015, 11:15
  32. 54. Consolidation
    29/10/2015, 12:00
  33. 55. GPU programming with OpenCL: Core Ideas and the host program
    Dr Tim Mattson (Intel)
    29/10/2015, 15:00
  34. 56. Consolidation
    29/10/2015, 15:45
  35. 57. Consolidation
    29/10/2015, 17:45
  36. 58. Evening lecture: "Low-power computing with System-on-Chips"
    Daniele Cesini (CNAF)
    29/10/2015, 18:00
    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...
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  37. 0. Programming GPUs with OpenCL: Kernel programs
    Dr Tim Mattson (Intel)
    30/10/2015, 08:30
  38. 1. Programming GPUs with OpenCL: Performance issues
    Dr Tim Mattson (Intel)
    30/10/2015, 09:15
  39. 2. Lecture
    30/10/2015, 10:30
  40. 3. Cluster Computing with MPI
    Dr Tim Mattson (Intel)
    30/10/2015, 11:15
  41. 4. Consolidation
    30/10/2015, 12:00
  42. 59. The 10 core constructs every MPI programmer should know
    Dr Tim Mattson (Intel)
    30/10/2015, 15:00
  43. 60. Geometric decomposition and MPI
    Dr Tim Mattson (Intel)
    30/10/2015, 15:45
  44. 64. Information
    Mauro Morandin (PD)
    30/10/2015, 17:00
  45. 61. Consolidation
    30/10/2015, 17:05
  46. 63. Big Data: What happens when data actually gets big?
    Dr Tim Mattson (Intel)
    30/10/2015, 18:35
    There are Big Data problems today. Usually when researchers talk about Big Data, however, the data isn't that big. An inefficient solution stack based on direct products over data-sets (Map-Reduce/Hadoop), cramming data (the square peg) into whatever data-store is available (the round hole), and moving data around between data-severs and computer-servers: all of this is OK if Big Data is not...
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  47. 31. Students feedback
    31/10/2015, 08:30
  48. 32. Final examination
    31/10/2015, 09:00
  49. 33. Delivery of certificates of attendance
    31/10/2015, 11:30
  50. 34. Shuttle departure (to Forli' railway station)
    31/10/2015, 13:30
  51. 9. Introduction and Concepts of Performance and Efficiency
    Dr Peter Elmer (Princeton University)