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) |
| Applications on GPUs |
| Tuesday, 11:30AM - 12:00PM |
| Room Ballroom E |
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 |