SCHEDULE: NOV 16-22, 2013
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A Framework for Load Balancing of Tensor Contraction Expressions via Dynamic Task Partitioning
SESSION: Load Balancing
EVENT TYPE: Papers
TIME: 1:30PM - 2:00PM
SESSION CHAIR: Sriram Krishnamoorthy
AUTHOR(S):Pai-Wei Lai, Kevin Stock, Samyam Rajbhandari, Sriram Krishnamoorthy, P. Sadayappan
ROOM:405/406/407
ABSTRACT:
In this paper, we introduce the Dynamic Load-balancing Tensor Contractions (DLTC), a domain-specific library for efficient task parallel execution of tensor contraction expressions, a class of computation encountered in quantum chemistry and physics. Our framework decomposes each contraction into smaller unit of tasks, represented by a novel abstraction referred to as iterators. We exploit an extra level of parallelism by having tasks across independent contractions to be executed concurrently through a dynamic load balancing runtime. We demonstrated the improved performance, scalability, as well as flexibility for the computation of tensor contraction expressions on parallel computers using examples from Coupled Cluster (CC) methods.
Chair/Author Details:
Sriram Krishnamoorthy (Chair) - Pacific Northwest National Laboratory
Pai-Wei Lai - Ohio State University
Kevin Stock - Ohio State University
Samyam Rajbhandari - Ohio State University
Sriram Krishnamoorthy - Pacific Northwest National Laboratory
P. Sadayappan - Ohio State University
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The full paper can be found in the ACM Digital Library