March 26, 2007 to March 30, 2007
Guang R. Gao , Department of Electrical and Computer Engineering, University of Delaware. firstname.lastname@example.org
Thomas Sterling , Center for Advanced Computing Research, California Institute of Technology; Department of Computer Science, Louisiana State University, email@example.com, firstname.lastname@example.org
Rick Stevens , Mathematics and Computer Science Division, Argonne National Laboratory, email@example.com
Mark Hereld , Mathematics and Computer Science Division, Argonne National Laboratory, firstname.lastname@example.org
Weirong Zhu , Department of Electrical and Computer Engineering, University of Delaware. email@example.com
This paper proposes the study of a new computation model that attempts to address the underlying sources of performance degradation (e.g. latency, overhead, and starvation) and the difficulties of programmer productivity (e.g. explicit locality management and scheduling, performance tuning, fragmented memory, and synchronous global barriers) to dramatically enhance the broad effectiveness of parallel processing for high end computing. In this paper, we present the progress of our research on a parallel programming and execution model - mainly, ParalleX. We describe the functional elements of ParalleX, one such model being explored as part of this project. We also report our progress on the development and study of a subset of ParalleX - the LITL-X at University of Delaware. We then present a novel architecture model - Gilgamesh II - as a ParalleX processing architecture. A design point study of Gilgamesh II and the architecture concept strategy are presented.
Guang R. Gao, Thomas Sterling, Rick Stevens, Mark Hereld, Weirong Zhu, "ParalleX: A Study of A New Parallel Computation Model", IPDPS, 2007, 2007 IEEE International Parallel and Distributed Processing Symposium, 2007 IEEE International Parallel and Distributed Processing Symposium 2007, pp. 294, doi:10.1109/IPDPS.2007.370484