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Monday September 22, 12pm-1pm, 1116-E Klaus
Integrative Parallel Programming in HPCVictor Eijkhout
Texas Advanced Computing Center
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ABSTRACT
With the ongoing proliferation of architecture types (distributed memory clusters, shared memory, co-processors)comes a proliferation of programming modes (message passing, active messages, loop-based and task-based parallelism, new SIMD variants),complicating the life of a scientific programmer. To extract all possible performance, a code often has to rely on using more than one mode of parallelism, making it hard to maintain, hard to port, and far from `future-proof'.
In this talk I will present a new framework for parallel programming, called the `Integrative Model for Parallelism (IMP)'. It is based on an abstract model of parallel computing that unifies existing models, yet is detailed enough to give performance comparable to hand-written codes in these models.
I will give a basic overview of the IMP concepts, show a prototype implementation, and indicate future directions of research.
In this talk I will present a new framework for parallel programming, called the `Integrative Model for Parallelism (IMP)'. It is based on an abstract model of parallel computing that unifies existing models, yet is detailed enough to give performance comparable to hand-written codes in these models.
I will give a basic overview of the IMP concepts, show a prototype implementation, and indicate future directions of research.
BIO
Victor is a long-time expert in numerical linear algebra, parallel computing, machine learning. He holds a Ph.D. in numerical analysis from the university of Nijmegen in the Netherlands. He has held positions at the University of Illinois Urbana-Champaign, the University of California Los Angeles and the University of Tennessee at Knoxville. Currently he is a Research Scientist at the Texas Advanced Computing Center of The University of Texas at Austin. He is the author of the many articles, and the `Templates' book, the textbook, `Introduction to High Performance Scientific Computing', and `TeX by Topic'.