An algorithm for solving linear recurrence systems on parallel and pipelined machines /

"UILU-ENG 78 1745."

Adaptive merging by parallel disjoint comparisons /

Includes bibliographical references.

A parallel QR-algorithm for tridiagonal symmetric matrices /

"NSF-OCA-GJ-36936-000008."

Parallel techniques.

Originally presented as the author's thesis, University of Illinois at Urbana-Champaign.

Parallel direct Poisson and biharmonic solvers /

"NSF - OCA - GJ-36936 - 000006."

Parallel algorithms for network routing problems and recurrences /

"Grant no. US NSF MCS75-21758."

Techniques for parallel computer design /

Vita.

Control structures for parallel machines /

"UILU-ENG 79 1724"

Linear system solvers for parallel computers /

Includes bibliographical references.

Solving triangular systems on a parallel computer /

Includes bibliographical references.

Scheduling on parallel processors for weighted-node graphs.

Extra t.p. with thesis statement inserted.

Theoretical limitations on the use of parallel memories /

Thesis--University of Illinois at Urbana-Champaign.

Demand bibliography : parallel computing /

"Results from a search of the technical report database over a 10-year period ... references cover only unclassified, unlimited document references with abstracts."

Hierarchical associative memories for parallel computation /

"This report reproduces a thesis of the same title submitted to the Department of Electrical Engineering, Massachusetts Institute of Technology, in partial fulfillment of the requirements for the degree of Doctor of Philosophy, May 1970."--p. 2

Parallel implementation of stochastic simulation for large scale cellular processes

Experimental and theoretical studies have shown the importance of stochastic processes in genetic regulatory networks and cellular processes. Cellular networks and genetic circuits often involve small numbers of key proteins such as transcriptional factors and signaling proteins. In recent years stochastic models have been used successfully for studying noise in biological pathways, and stochastic modelling of biological systems has become a very important research field in computational biology. One of the challenge problems in this field is the reduction of the huge computing time in stochastic simulations. Based on the system of the mitogen-activated protein kinase cascade that is activated by epidermal growth factor, this work give a parallel implementation by using OpenMP and parallelism across the simulation. Special attention is paid to the independence of the generated random numbers in parallel computing, that is a key criterion for the success of stochastic simulations. Numerical results indicate that parallel computers can be used as an efficient tool for simulating the dynamics of large-scale genetic regulatory networks and cellular processes