David E. Womble

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Dense linear systems of equations are quite common in science and engineering, arising in boundary element methods, least squares problems and other settings. Massively parallel computers will be necessary to solve the large systems required by scientists and engineers, and scalable parallel algorithms for the linear algebra applications must be devised for(More)
Although high performance computers tend to be measured by their processor and communication speeds, the bottleneck for many large-scale applications is the I/O performance rather than the computational or communication performance. One such application is the processing of three-dimensional seismic data. Seismic data sets, consisting of recorded pressure(More)
This paper describes three applications of the boundary element method and their implementations on the Intel Paragon supercomputer. Each of these applications sustains over 99 Gflops/s based on wall-clock time for the <i>entire</i> application and an actual count of flops executed; one application sustains over 140 Gflops/s! Each application accepts the(More)
Parallel computers are becoming more powerful and more complex in response to the demand for computing power by scientists and engineers. Inevitably, new and more complex I/O systems will be developed for these systems. In particular we believe that the I/O system must provide the programmer with the ability to explicitly manage storage (despite the trend(More)
The computing power available to scientists and engineers has increased dramatically in the past decade, due in part to progress in making massively parallel computing practical and available. The expectation for these machines has been great. The reality is that progress has been slower than expected. Nevertheless, massively parallel computing is beginning(More)