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Massively Parallel Systems Summer School (PUMPS-2016)


Barcelona Computing Week 2014, July 11-15, at BSC/UPC, Barcelona.

BSC - Barcelona Supercomputing CenterThe BSC/UPC has been awared by Nvidia as GPU Center of Excellence. The Programming and tUning Massively Parallel Systems Summer School (PUMPS) offers researchers and graduate students a unique opportunity to enrich their skills with cutting-edge technique and hands-on experience in developing applications for many-core processors with massively parallel computing resources like GPU accelerators.

Participants will have access to a multi-node cluster of GPUs, and will learn to program and optimize applications in languages such as CUDA and OmpSs. Teaching assistants will be available to help with assignments.


Important information

  • Applications due: May 31
  • Notification of acceptance: June 10
  • Summer school dates: July 11-15, 2014
  • Location: Barcelona Supercomputing Center / Computer Architecture Dept. at Universitat Politecnica de Catalunya, Barcelona, Spain. Room TDB.


  • Distinguished Lectures:
    • Wen-mei Hwu, University of Illinois at Urbana-Champaign.
    • David Kirk, NVIDIA Fellow, former Chief Scientist, NVIDIA Corporation.
  • Invited Lecturer: Juan Gómez Luna (Universidad de Cordoba).
  • BSC/UPC Lecturers:
    • Xavier Martorell
    • Xabier Teruel
  • .Teaching Assistants:
    • Abdul Dakkak, Carl Pearson, Simon Garcia de Gonzalo, Marc Jorda, Pau Farre, Javier Bueno, Aimar Rodriguez.

The list of topics

  • CUDA Algorithmic Optimization Strategies.
  • Dealing with Sparse and Dynamic data.
  • Efficiency in Large Data Traversal.
  • Reducing Output Interference.
  • Controlling Load Imbalance and Divergence.
  • Acceleration of Collective Operations.
  • Dynamic Parallelism and HyperQ.
  • Debugging and Profiling CUDA Code.
  • Multi-GPU Execution.
  • Architecture Trends and Implications
  • FORTRAN Interoperability and CUDA Libraries.
  • Introduction to OmpSs and to the Paraver analysis tool.
  • OmpSs: Leveraging GPU/CUDA Programming.
  • Hands-on Labs: CUDA Optimizations on Scientific Codes. OmpSs Programming and Tuning.

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