SC is the International Conference for
High Performance Computing, Networking,
Storage and Analysis

SCHEDULE: NOV 12-18, 2011

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M12: Scalable Heterogeneous Computing on GPU Clusters

SESSION: M12: Scalable Heterogeneous Computing on GPU Clusters

EVENT TYPE: Tutorial

TIME: 8:30AM - 5:00PM

Presenter(s):Jeffrey Vetter, Kyle Spafford, Philip Roth, Allen Malony


This tutorial, suitable for attendees with an intermediate-level in Parallel programing in MPI, and GPU programming in CUDA or OpenCL, will provide a comprehensive overview on the optimization techniques to port, analyze, and accelerate applications on scalable heterogeneous computing systems. We will focus on methods, tools, and techniques to migrate existing applications to large scale GPU clusters using MPI and OpenCL/CUDA. First, we will review our methodology for successfully identifying and selecting portions of applications to accelerate with a GPU, motivated with several application case studies. Second, we will present an overview of several performance and correctness tools, which provide performance measurement, profiling, and tracing information about applications running on these systems. Third, we will present a set of best practices for optimizing these applications: GPU and NUDA optimization techniques, optimizing interactions between MPI and GPU programming models. A hands-on session will be conducted on the NSF Keeneland Initial Delivery System, after each part to give participants the opportunity to investigate techniques and performance optimizations on such a system. Existing tutorial codes and benchmark suites will be provided to facilitate individual discovery. Additionally, participants may bring and work on their own applications.

Chair/Presenter Details:

Jeffrey Vetter - Oak Ridge National Laboratory and Georgia Tech

Kyle Spafford - Oak Ridge National Laboratory

Philip Roth - Oak Ridge National Laboratory

Allen Malony - University of Oregon

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