Parallel Computation

It is becoming widely accepted that parallel computing is the only way to achieve the processing speeds that are required to meet the future needs of computer users. However designing and building larage parallel computers may not be the most difficult task: there are difficult software problems too that require the development of new solution algorithms which are capable of supporting many parallels. The emphasis of this conference was on the applications of parallel processing, on the implementation of specific applications on parallel computers or with the development of efficient mathematical algorithms to be used in applications. Papers by Paul Messina and Jack Dongarra (University of Tennessee) provide an overview of the basic issues and trends in hardware systems software development. Jeremy du Croz (NAG, UK) talks abut the eveolution of parallel algorithms in dense linear algebra. Mike Brady et al (Oxford) write on parallel algorithms in vision and robotics and R.H. Bisseling (Utrecht) on parallel iterative solution of sparse linear systems on a transputer network.Table of ContentFrom Dinos to Rhinos by J.J. Dongarra/Development of Numerical Software Libraries for Vector and Parallel Machines by S.J. Hannnarling/The Challenge of General Purpose Parallel Computing by W.F. McColl/Performance Prediction for Parallel Numerical Algorithms by K. Gallivan, W. Jalby, A. Malony and H. Wijshoff/Optimizing Air Pollution Models on Two Alliant Computers by Z. Zlatev, J. WaAniewski, M. Venugopal and J. Moth/Calculation of Radiative Heat 'Ransfer Through a Grey Gas on Parallel Computer Architectures by H. Al-Bahadili and J. Wood/Exploitation of Parallelism in Direct and Semi-direct Solution of Large Sparse Systems by I.S. Duff/Parallel Aspects of Iterative Methods by H.A. van der Vorst/Parallel Global Optimization: Numerical Methods, Dynamic Scheduling Methods, and Application to Moleculax Configuration by R.H. Byrd, E. Eskow, R.B. Schnabel and S.L. Sn-iith/Iterative Algorithms and the Data-Parallel Solution of Optimization Problems by S.A. Zenios/Evolution of Parallel Algorithms in Dense Linear Algebra by J. Du Croz/Parallel Iterative Solution of Sparse Linear Systems on a 'ftansputer Network by R.H. Bisseling/Concurrent Matrix Factorizations on Workstation Networks by A. Benzoni and M.L. Sales/Modelling Performance of MICCG Algorithms on a Multicomputer by P. Manneback and J. Qin/Optimisation of a 532-City Symmetric Travelling Salesman Problem with a Parallel Genetic Algorithm by T.C. Fogarty and J. Cui/Scientific Applications and Parallel Computing by D.L. Gee and A.J.G. Hey/Parallel Algorithim in Vision and Robotics by M. Brady, H. Hu, H. Wang and S. Udalt/