Advances in Distributed and Parallel Processing: Applications in optimization, fluid dynamics, and VLSIHarry W. Tyrer Ablex Publishing Corporation, 1994 - Electronic data processing |
Contents
Applications in Optimization Fluid Dynamics and VLSI | 1 |
A Parallel Trajectory Optimization Tool | 34 |
Distributed Processing for Multilevel Decomposition | 73 |
Copyright | |
5 other sections not shown
Common terms and phrases
annealing process annealing schedule applications approach approximation calculation CFD algorithms combinatorial optimization communication complex moves Computational Fluid Dynamics configuration Connection Machine constraints convergence cost function Cray X-MP defined distributed computing distributed-memory dual Euler explicit Figure final cost finite element flow Fluid Dynamics global grid points Hessian matrix hypercube implicit Intel iPSC/1 iterative Jacobian large number Markov chain matrix memory Mflops MIMD MIMD machines minimize modules multilevel decomposition multiprocessor Navier-Stokes equations node nonlinear nonlinear programming number of processors objective function optimization problem optimum parallel algorithms parallel annealing algorithm parallel computers parallel efficiency parallel implementation parallel machines parallel processing parameters partitioning performance phase procedure programming quasi-Newton methods ratio rithm routing sequential shared-memory SIMD simple TSP simulated annealing simulated annealing algorithm solution solved SOPA spectral speedup step stepwise-overlapped parallel annealing strategy structural subchain subsystems supercomputers synchronization techniques temperature tion trajectory vector vector processors VLSI