Wolfgang Gentzsch – författare

The scope of the present book is to offer the most efficient tools for the vectorization of serial computer programs. Here, by vectorization we understand the adaptation of computer programs to the special architecture of modern available vector computers to exploit fully their potential, which will often result in remarkable performance improvements. The book is written primarily for users working in the various fields of computational physics, for scientists as well as for programmers running their jobs on a vector computer. The text may, however, also be of value to those who are interested in numerical algorithms. Although the examples discussed in chapter 9 have been taken from Computational Fluid Dynamics, the numerical methods are well-known, and are applied in many fields of Computational Physics. The book is divided into four parts. After a short introduction which outlines the limits of conventional serial computers in contrast to the possibilities offered by the new vector machines, the second part is addressed to the discussion of some main features of existing computer architectures. We restrict ourselves to the vector computers CRAY-1S and CDC-CYBER 205, although, in the meantime, many vector and parallel computers and array processors are available such as DENELCOR''s Heterogeneous Element Processor (HEP), ICL''s Distributed Array Processor (DAP), SPERRY UNIVAC''s Array Processing System (APS), STAR TECHNOLOGIES ST-l00, FLOATING POINT SYSTEMS'' Array Processor (FPS), FUJITSU''s FACOM VP-l00 and VP-200, HITACHI''s Integrated Array Processor (lAP), HITACHI''s S 810/10 and S 810/20 and others.

The scope of the present book is to offer the most efficient tools for the vectorization of serial computer programs. Here, by vectorization we understand the adaptation of computer programs to the special architecture of modern available vector computers to exploit fully their potential, which will often result in remarkable performance improvements. The book is written primarily for users working in the various fields of computational physics, for scientists as well as for programmers running their jobs on a vector computer. The text may, however, also be of value to those who are interested in numerical algorithms. Although the examples discussed in chapter 9 have been taken from Computational Fluid Dynamics, the numerical methods are well-known, and are applied in many fields of Computational Physics. The book is divided into four parts. After a short introduction which outlines the limits of conventional serial computers in contrast to the possibilities offered by the new vector machines, the second part is addressed to the discussion of some main features of existing computer architectures. We restrict ourselves to the vector computers CRAY-1S and CDC-CYBER 205, although, in the meantime, many vector and parallel computers and array processors are available such as DENELCOR's Heterogeneous Element Processor (HEP), ICL's Distributed Array Processor (DAP), SPERRY UNIVAC's Array Processing System (APS), STAR TECHNOLOGIES ST-l00, FLOATING POINT SYSTEMS' Array Processor (FPS), FUJITSU's FACOM VP-l00 and VP-200, HITACHI's Integrated Array Processor (lAP), HITACHI's S 810/10 and S 810/20 and others.

The GAMM Committee for Numerical Methods in Fluid Mechanics organizes workshops which should bring together experts of a narrow field of computational fluid dynamics (CFD) to exchange ideas and experiences in order to speed-up the development in this field. In this sense it was suggested that a workshop should treat the solution of CFD problems on vector computers. Thus we organized a workshop with the title "The efficient use of vector computers with emphasis on computational fluid dynamics". The workshop took place at the Computing Centre of the University of Karlsruhe, March 13-15,1985. The participation had been restricted to 22 people of 7 countries. 18 papers have been presented. In the announcement of the workshop we wrote: "Fluid mechanics has actively stimulated the development of superfast vector computers like the CRAY's or CYBER 205. Now these computers on their turn stimulate the development of new algorithms which result in a high degree of vectorization (sca1ar/vectorized execution-time). But with 3-D problems we quickly reach the limit of present vector computers. If we want e.g. to solve a system of 6 partial differential equations (e.g. for u, v, w, p, k, € or for the vectors u, curl u) on a 50x50x50 grid we have 750.000 unknowns and for a 4th order difference method we have circa 60 million nonzero coefficients in the highly sparse matrix. This characterizes the type of problems which we want to discuss in the workshop".

High-performance computing and networking (HPCN) is driven by several initiatives in Europe, the United States, and Japan. In Europe several groups encouraged the Commission of the European Communities to start an HPCN programme. This two-volume work presents the proceedings of HPCN Europe 1994. Volume 1 includes sections on: keynote talks, HPCN and visualization in industry, algorithms for engineering applications, electrical computer-aided engineering, computational fluid dynamics, computational chemistry, materials science, weather simulations, environmental applications and climate, high-energy physics and astrophysics, neuroscience and neural networks, and database applications.

High-performance computing and networking (HPCN) is driven by several initiatives in Europe, the United States, and Japan. In Europe several groups encouraged the Commission of the European Communities to start an HPCN programme. This two-volume work presents the proceedings of HPCN Europe 1994. Volume 2 includes sections on: networking, future European cooperative working possibilities in industry and research, HPCN computer centers aspects, performance evaluation and benchmarking, numerical algorithms for engineering, domain decomposition in engineering, parallel programming environments, load balancing and performance optimization, monitoring, debugging, and fault tolerance, programming languages in HPC, compilers and data parallel structures, architectural aspects, and late papers.