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Fifth INFN International School on: "Architectures, tools and methodologies for developing efficient large scale scientific computing applications" ESC13 - Bertinoro (Forlì-Cesena) Italy 20-26 October 2013

20–26 Oct 2013
Bertinoro
Europe/Rome timezone

Contribution List

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  1. 0. Welcome and opening remarks
    Mauro Morandin (PD)
    21/10/2013, 08:30
  2. 1. Concepts of performance and efficiency
    Dr Peter Elmer (Princeton University)
    21/10/2013, 09:00
  3. 2. Modern processors and related optimisation topics - Part 1
    Mr Sverre Jarp (CERN)
    21/10/2013, 09:50
  4. 3. Modern processors and related optimisation topics - Part 2
    Mr Sverre Jarp (CERN)
    21/10/2013, 11:00
  5. 4. Introduction to Performance tuning tools
    Dr Peter Elmer (Princeton University)
    21/10/2013, 11:50
  6. 5. Floating point computation: accuracy, optimization, vectorization (with exercises)
    Vincenzo Innocente (CERN)
    21/10/2013, 14:15
  7. 6. Floating point computation: accuracy, optimization, vectorization (with exercises)
    Vincenzo Innocente (CERN)
    21/10/2013, 15:00
  8. 7. Floating point computation: accuracy, optimization, vectorization (with exercises)
    Vincenzo Innocente (CERN)
    21/10/2013, 16:00
  9. 8. Floating point computation: accuracy, optimization, vectorization (with exercises)
    Vincenzo Innocente (CERN)
    21/10/2013, 16:45
  10. 68. Student lightning presentations
    21/10/2013, 17:30
  11. 16. Efficient C++ coding (with exercises)
    Dr Francesco Giacomini (CNAF)
    22/10/2013, 08:30
  12. 17. Efficient C++ coding (with exercises)
    Dr Francesco Giacomini (CNAF)
    22/10/2013, 09:20
  13. 18. Efficient C++ coding (with exercises)
    Dr Francesco Giacomini (CNAF)
    22/10/2013, 10:30
  14. 19. Efficient C++ coding (with exercises)
    Dr Francesco Giacomini (CNAF)
    22/10/2013, 11:15
  15. 20. The Memory Crisis
    Dr Peter Elmer (Princeton University)
    22/10/2013, 14:15
  16. 21. How memory allocation works
    Dr Peter Elmer (Princeton University)
    22/10/2013, 15:00
  17. 22. Exercises - Memory Allocations
    Dr Peter Elmer (Princeton University)
    22/10/2013, 16:00
  18. 23. Exercises - Memory Allocations
    Dr Peter Elmer (Princeton University)
    22/10/2013, 16:45
  19. 24. Student lightning presentations
    22/10/2013, 17:30
  20. 9. Exercises (Floating Point, Memory use, C++)
    Dr Francesco Giacomini (CNAF), Dr Peter Elmer (Princeton University), Vincenzo Innocente (CERN)
    23/10/2013, 08:30
  21. 10. Exercises (Floating Point, Memory use, C++)
    23/10/2013, 09:20
  22. 11. Exercises (Floating Point, Memory use, C++)
    23/10/2013, 10:30
  23. 12. Exercises (Floating Point, Memory use, C++)
    23/10/2013, 11:20
  24. 51. Motivation.... The power wall and the emergence of ubiquitous heterogeneous computing
    Dr Tim Mattson (Intel)
    23/10/2013, 14:00
  25. 52. Parallel Computing: basic concepts and vocabulary
    Dr Tim Mattson (Intel)
    23/10/2013, 14:45
  26. 53. Parallel hardware: from SMP to GPU to clusters to massively parallel supercomputers
    Dr Tim Mattson (Intel)
    23/10/2013, 16:00
  27. 54. Core design patterns of parallel algorithms
    Dr Tim Mattson (Intel)
    23/10/2013, 16:45
  28. 55. Multithreaded programming with OpenMP: The SPMD pattern on the CPU
    Dr Tim Mattson (Intel)
    24/10/2013, 08:30
  29. 56. Parallel loops with OpenMP
    Dr Tim Mattson (Intel)
    24/10/2013, 09:30
  30. 57. The divide and conquer pattern with OpenMP tasks
    Dr Tim Mattson (Intel)
    24/10/2013, 11:00
  31. 58. GPU architectures
    24/10/2013, 14:20
  32. 59. Core design patterns for the GPU programmer
    Dr Tim Mattson (Intel)
    24/10/2013, 15:15
  33. 60. Programming GPUs with directives: OpenACC and OpenMP 4.0
    Dr Tim Mattson (Intel)
    24/10/2013, 16:45
  34. 61. Evening lecture: Exploiting vector units
    Dr Tim Mattson (Intel)
    24/10/2013, 18:30
  35. 62. The kernel parallelism pattern
    Dr Tim Mattson (Intel)
    25/10/2013, 08:30
  36. 63. Basics of kernel programming
    Dr Tim Mattson (Intel)
    25/10/2013, 09:30
  37. 64. GPU memory hierarchy and reductions
    Dr Tim Mattson (Intel)
    25/10/2013, 11:00
  38. 65. MPI and the concept of message passing
    Dr Tim Mattson (Intel)
    25/10/2013, 14:30
  39. 66. The SPMD pattern in MPI
    Dr Tim Mattson (Intel)
    25/10/2013, 15:30
  40. 67. Programming highly scalable systems: "MPI+X"
    Dr Tim Mattson (Intel)
    25/10/2013, 17:00
  41. 42. Students feedback
    26/10/2013, 08:30
  42. 43. Final examination
    26/10/2013, 09:00
  43. 44. Delivery of certificates of attendance
    26/10/2013, 11:30
  44. 45. Shuttle departure (to Forli' railway station)
    26/10/2013, 14:00
  45. 39. A survey of programming models
    Dr Tim Mattson (Intel)
  46. 40. A survey of programming models
    Dr Tim Mattson (Intel)
  47. 33. An introduction to OpenMP
    Dr Tim Mattson (Intel)
  48. 31. Announcements
    Mauro Morandin (PD)
  49. 46. Evening Lecture: "Getting it all with C++: Abstraction, Reusability, Performance and Future-Safety"
    Ulrich Drepper (Red Hat)
  50. 47. Evening Lecture: "High throughput data trasmission through network links"
    Domenico Galli (BO)
  51. 49. Evening Lecture: "How to program a 1000 core processor" (Timothy G. Mattson, Intel Corp.)
  52. 41. Evening Lecture: "SEJITS: embedded specializers to turn patterns-based designs into optimized parallel code" - Timothy G. Mattson (Intel)
  53. 50. Evening Lecture: Multicores, GPUs, FPGAs and custom processors for scientific computing: a delicate tradeoff"
    Raffaele Tripiccione (FE)
  54. 48. Evening lecture: Virtualization, Grid, Cloud: Integration Paths for Scientific Computing
    Davide Salomoni (CNAF)
  55. 13. Exercises (Floating Point, Memory use, C++)
  56. 14. Exercises (Floating Point, Memory use, C++)
  57. 15. Exercises (Floating Point, Memory use, C++)
  58. 29. I/O Efficiency
    Vincenzo Maria Vagnoni (BO)
  59. 30. I/O Efficiency
    Vincenzo Maria Vagnoni (BO)
  60. 25. Introduction to OpenCL
    Dr Tim Mattson (Intel)
  61. 26. Introduction to OpenCL
    Dr Tim Mattson (Intel)
  62. 27. Introduction to OpenCL
    Dr Tim Mattson (Intel)
  63. 28. Introduction to OpenCL
    Dr Tim Mattson (Intel)
  64. 38. OpenMP Memory model
    Dr Tim Mattson (Intel)
  65. 37. OpenMP tasks
    Dr Tim Mattson (Intel)
  66. 32. Parallel programming theory
    Dr Tim Mattson (Intel)
  67. 34. Synchronization in OpenMP
    Dr Tim Mattson (Intel)
  68. 36. The OpenMP data environment
    Dr Tim Mattson (Intel)
  69. 35. Work sharing constructs
    Dr Tim Mattson (Intel)