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This thesisinvestigatesthe mappingproblem: assignthe tasksof a parallel program to the processorsof a parallel computer suchthat the execution time is minimized. First, a taxonomy of objective functions and heuristics usedto solvethe mapping problem is presented. Next, we develop a highly parallel heuristic mapping algorithm, called Cyclic Pairwise Exchange… (More)

- Paul N. Swarztrauber, Steven W. Hammond
- Parallel Computing
- 2001

We present a highly parallel graph mapping technique that enables one to efficiently solve unstructured grid problems on massively parallel computers. Many implicit and explicit methods for solving discretized partial differential equations require each point in the discretization to exchange data with its neighboring points every time step or iteration.… (More)

- Steven W. Hammond, Robert Schreiber
- International Journal of High Speed Computing
- 1992

In this paper we discuss different approaches for exploiting parallelism in the ICCG method for solving large sparse symmetric positive ,lefinite systems of equations on a shared memory parallel computer. Techniques for efficiently solving triangular systems and computing sparse matrix-vector prodm:ts are explored. Three methods for scheduling the tasks in… (More)

- Steven W. Hammond, Richard D. Loft, John M. Dennis, Richard K. Sato
- Parallel Computing
- 1995

In November 1994, the NEC Corporation announced the SX-4 supercomputer. It is the third in the SX series of supercomputers and is upward compatible from the SX-3R vector processor with enhancements for scalar processing, short vector processing, and parallel processing. In this paper we describe the architecture of the SX-4 which has an 8.0 ns clock cycle… (More)

- Steven W. Hammond
- ICS
- 2011

The National Renewable Energy Laboratory (NREL) in Golden, Colorado is the nation's premier laboratory for renewable energy and energy efficiency research. In this talk we will give a brief overview of NREL and then focus on some of the challenges and opportunities in meeting future global energy challenges. Computational modeling, high performance… (More)

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