Modem aerospace vehicle design requires the interac tion of multiple disciplines, traditionally processed in a sequential order. Multidisciplinary optimization (MDO), a formal methodology for the integration of these disci ...

A barotropic, quasigeostrophic, finite-element model of regional ocean circulation is implemented on three parallel architectures: a Multiple Instruction Multiple Data (MIMD) vector computer, a Single Instruction Multiple ...

A concurrent adaptive conjugate gradient learning al gorithm has been developed for training of multilayer feed-forward neural networks and implemented in C on a MIMD shared-memory machine (CRAY Y-MP/8- 864 supercomputer). ...

We describe a computer program that simulates the microcanonical Ising model at a peak speed of 100 mil lion spin updates per second on a single processor of a Class VII supercomputer. The program is vectorized and multispin ...

Many traditional algorithms for computing the fast Fourier transform (FFT) on conventional computers are unacceptable for advanced vector and parallel computers because they involve nonunit, power-of-two memory strides. ...

Success in large-scale scientific compu tations often depends on algorithm design. Even the fastest machine may prove to be inadequate if insufficient attention is paid to the way in which the computation is organized. We ...

A new method is described for optimizing graph parti tions that arise in mapping unstructured mesh calcula tions to parallel computers. The method employs a combination of iterative techniques to evenly balance the workload ...

Near-real-time digital formation of large synthetic aper ture radar (SAR) images requires the computational throughput that only a dedicated special processor or a massively parallel computer can offer. This article documents ...