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SC Conference - Activity Details



Adapting a Message-Driven Parallel Application to GPU-Accelerated Clusters

Authors:
James C. Phillips  (University of Illinois at Urbana-Champaign)
John E. Stone  (University of Illinois at Urbana-Champaign)
Klaus Schulten  (University of Illinois at Urbana-Champaign)
Papers Session
Applications on GPUs
Tuesday,  11:30AM - 12:00PM
Room Ballroom E
Abstract:
Graphics processing units (GPUs) have become an attractive option for accelerating scientific computations as a result of advances in the performance and flexibility of GPU hardware, and due to the availability of GPU software development tools targeting general purpose and scientific computation. However, effective use of GPUs in clusters presents a number of application development and system integration challenges. We describe strategies for the decomposition and scheduling of computation among CPU cores and GPUs, and techniques for overlapping communication and CPU computation with GPU kernel execution. We report the adaptation of these techniques to NAMD, a widely-used parallel molecular dynamics simulation package, and present performance results for a 64-core 64-GPU cluster.
The full paper can be found in the IEEE Xplore Digital Library and ACM Digital Library
   IEEE Computer Society  /  ACM     2 0   Y E A R S   -   U N L E A S H I N G   T H E   P O W E R   O F   H P C