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Parallel and Distributed Processing Symposium, International (2008)
Miami, FL, USA
Apr. 14, 2008 to Apr. 18, 2008
ISBN: 978-1-4244-1693-6
pp: 1-8
W. Shivani , NIT Warangal, India
Manish Gupta , IBM India Systems, Technology Lab, India
Rajan Ravindran , IBM India Systems, Technology Lab, India
Dibyendu Das , IBM India Systems, Technology Lab, India
P. Sivakeshava , NIT Warangal, India
Rishabh Uppal , IIT Kanpur, India
Exploiting Computation-Communication Overlap is a well-known requirement to speed up distributed applications. However, efforts till now use programmer expertise, rather than any automatic tool to do this. In our work we propose the use of an aggressive optimizing compiler (IBM’s xl series) to automatically extract opportunities for computation communication overlap. We depend on aggressive inlining, dominator trees and SSA based use-def analyses provided by the compiler framework for exploiting such overlap. Our target is MPI applications. In such applications, we try to automatically move mpi_waits as well as split blocking mpi_send/recv to create more opportunities for overlap. Our objective is two-fold: firstly, our tool should relieve the programmer from the burden of hunting for overlap manually as much as possible, and secondly, it should aid in converging on parallel applications which benefit from such overlap quickly. These are necessary as MPI applications are quickly becoming complex and huge and manual overlap extraction is becoming cumbersome. Our early experience shows that it is not necessary that exploiting an overlap always leads to performance improvement. This corroborates with the fact that if we have an automatic tool, then, we can quickly discard such applications (or certain configurations of such applications) without spending person-hours to manually rewrite MPI applications for introducing non-blocking calls. Our initial experiments with the industry-standard NAS Parallel benchmarks show that we can get small-to-moderate improvements by utilizing overlap even in such highly tuned benchmarks. This augurs well for real-world applications that do not exploit overlap optimally.
W. Shivani, Manish Gupta, Rajan Ravindran, Dibyendu Das, P. Sivakeshava, Rishabh Uppal, "Compiler-controlled extraction of computation-communication overlap in MPI applications", Parallel and Distributed Processing Symposium, International, vol. 00, no. , pp. 1-8, 2008, doi:10.1109/IPDPS.2008.4536193
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