Training on Open CL and Parallel Computing

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February 17-19, 2016

Summary

Parallel computer processors have become ubiquitous. Today, everything from a mobile phone, to a desktop computer, to a supercomputer, supports parallel programming. Despite the adoption of parallelism by processor manufacturers, few software applications today can use modern processors to their full potential due to the complexity of parallel algorithm design and software development.

The Fields Institute will host a three day workshop on parallel computing led by an expert in the field that will provide trainees with a mixture of theory and hands-on experience. Trainees will learn parallel programming with OpenCL, and so will be able to apply their knowledge to CPUs, GPUs, FPGAs, and other accelerators such as the Intel Xeon Phi.

Training Objectives

  • Understand why parallel programming is important and what makes it hard
  • Understand the hardware trends that drive parallel programming
  • Learn the role of the OpenCL specification in the processor and software industry
  • Understand the theoretical limits of parallel computing
    • NC = P?
    • Universality of consensus and the importance of atomic instructions
  • Learn how to write OpenCL software for heterogeneous computing
  • Learn the mathematical foundations of the OpenCL 2.0 memory model
  • Learn how to write parallel software for CPUs, FPGAs, GPUs, and other accelerators
  • Gain practical experience through a project

More Details Register for workshop