Supercomputers: Algorithms, Architectures, and Scientific ComputationFrederick Albert Matsen, Tomoki Tajima |
Contents
Present and Future | 11 |
Programming Environments for Supercomputers | 19 |
Lisptrana Fusion of LISP and FORTRAN | 39 |
Copyright | |
21 other sections not shown
Common terms and phrases
algorithms analysis applications architecture arithmetic atom band matrix bandwidth binary tree boolean cube calculation Caltech cluster communication compiler complexity components Computer Science computer vision concurrent processor Cyber cyclic reduction data flow density dependence dimensional dynamics efficiency electrons energy ensemble equations evaluated example execution FASTRUN Figure FORTRAN function Gaussian elimination global grid hardware hypercube IEEE implementation inhomogeneous input integrals interactions interconnection iteration language large number lattice linear array Lisp Lisptran load balance loop machine magnetic field mathematical matrix method MIMD mode module Monte Carlo notation operations optimal parallel computer parameters particle perfect shuffle performance Phys physics plasma problem procedure processing elements ratio rational surface Reservoir Simulation scalar scheme sequential shared memory SIGMA-1 simulation solve Sparse Matrix speed-up structure supercomputers systolic systolic array techniques tion TPCC TPMG transform Ultracomputer updated variables vector Warp cell
References to this book
Parallel Algorithms for Matrix Computations K. Gallivan,M. Heath,E. Ng,B. Peyton,R. Plemmons,C. Romine,A. Sameh,R. Voigt No preview available - 1990 |