PUMPS Summer School, July 2-6, 2012

The Barcelona Supercomputing Center (BSC) in association with Universitat Politecnica de Catalunya (UPC) has been awarded by NVIDIA as a CUDA Center of Excellence (CCOE). The announcement took place during the SC11 conference held in Seattle (USA), November 14th 2011. BSC and UPC currently offer a number of courses covering CUDA architecture and programming languages for parallel computing. Please contact us for possible collaborations. Besides, BSC became the first NVIDIA CUDA Research Center in Spain, in 2010.

The third edition of the Programming and Tuning Massively Parallel Systems summer school (PUMPS) is aimed at enriching the skills of researchers, graduate students and teachers with cutting-edge technique and hands-on experience in developing applications for many-core processors with massively parallel computing resources like GPU accelerators.

• Summer School Co-Directors: Mateo Valero (BSC and UPC) and Wen-mei Hwu (University of Illinois at Urbana-Champaign)
• Dates:
  • Applications due: May 31, 2012
  • Notification of acceptance: June 15, 2012
  • Summer school: July 2-6, 2012

• Location: Barcelona Supercomputing Center, Computer Architecture Dept. at Universitat Politecnica de Catalunya, Barcelona, Spain

• Organized by:
  • Barcelona Supercomputing Center (BSC)
  • University of Illinois at Urbana-Champaign (University of Illinois)
  • Universitat Politecnica de Catalunya (UPC)
  • HiPEAC Network of Excellence (HiPEAC)
  • PUMPS is part of this year PRACE Advanced Training Centre program

• Topics:
  • The following is a list of some of the topics that will be covered during the course. The updated full program will soon be available
    • CUDA Parallel Execution Model
    • CUDA Performance Considerations
    • CUDA Algorithmic Optimization Strategies
    • Data Locality Issues
    • Dealing with Sparse and Dynamic data
    • Efficiency in Large Data Traversal
    • Reducing Output Interference
    • Debugging and Profiling CUDA Code
    • GMAC Runtime
    • Multi-GPU Execution
    • Introduction to OmpSs
    • OmpSs: Leveraging GPU/CUDA Programming
    • Hands-on Labs: CUDA Optimizations and OmpSs Programming

• Instructors:
  • Distinguished Teachers: Wen-mei Hwu (Sanders III-Advanced Micro Devices Endowed Chair in Electrical and Computer Engineering in the Coordinated Science Laboratory of the University of Illinois at Urbana-Champaign) and David Kirk (NVIDIA Fellow, former Chief Scientist, NVIDIA Corporation )
  • UIUC and BSC: Isaac Gelado
  • BSC and UPC: Rosa Badia, Xavier Martorell, Jesus Labarta, Nacho Navarro
  • Univ. Malaga: Manuel Ujaldon (CUDA Fellow in 2012)
  • Teaching Assistants: Javier Cabezas, Marc Jorda, Ivan Tanasic, Judit Planas

• Instructors Wen-mei Hwu (University of Illinois) and David B. Kirk (NVIDIA), co-authors of “Programming Massively Parallel Processors, A Hands-on Approach”, will provide students with knowledge and hands-on experience in developing applications software for many-core processors, such as general purpose graphics processing units (GPUs).

• Prerequisites for the course are: C, C++, Java, or equivalent programming knowledge. Skills in parallel programming will be helpful. Some experience in CUDA programming will be considered very valuable for application consideration. Visit the Previous Material section and spend some time self-learning.

• By the end of the summer school, participants will:
  • Be able to design algorithms that are suitable for accelerators.
  • Understand the most important architectural performance considerations for developing parallel applications.
  • Be exposed to computational thinking skills for accelerating applications in science and engineering.
  • Engage computing accelerators on science and engineering breakthroughs.

• Location: BSC/UPC, Campus Diagonal Nord, Building C6 (Computer Architecture Department), Barcelona, Spain
• Programming Languages: CUDA, MPI, OmpSs, OpenCL
• Hands-on Labs: Afternoon labs with teaching assistants for each audience/level.
  • Participants are expected to bring their own laptops to access the servers with GPU accelerators.
  • The afternoon lab sessions will provide hands-on experience with various languages and tools covered in the lectures and will comprise a brief introduction to the programming assignments, followed by independent work periods. Teaching assistants will be available in person and on the web to help with assignments.
  • Attendees will have access to the BSC Supercomputer MinoTauro (Cluster of 128 Bull B505 blades with 2 M2090 NVIDIA GPU cards each). (User's Guide)
• Application: Please apply to the summer school by submitting the PUMPS Application Request Form