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| Author | : Timothy G. Mattson |
| Publisher | : Wiley-VCH |
| Total Pages | : 240 |
| Release | : 1995-07-27 |
| Genre | : Computers |
| ISBN | : |
Developed from a symposium sponsored by the Division of Computers in Chemistry at the 207th National Meeting of the American Chemical Society, San Diego, California, March 13-17, 1994.
| Author | : |
| Publisher | : |
| Total Pages | : 222 |
| Release | : 1995 |
| Genre | : |
| ISBN | : |
| Author | : Curtis L. Janssen |
| Publisher | : CRC Press |
| Total Pages | : 232 |
| Release | : 2008-04-09 |
| Genre | : Mathematics |
| ISBN | : 1420051652 |
An In-Depth View of Hardware Issues, Programming Practices, and Implementation of Key Methods Exploring the challenges of parallel programming from the perspective of quantum chemists, Parallel Computing in Quantum Chemistry thoroughly covers topics relevant to designing and implementing parallel quantum chemistry programs. Focu
| Author | : Stephen Wilson |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 256 |
| Release | : 2013-12-01 |
| Genre | : Science |
| ISBN | : 1461574161 |
Recent years have seen the proliferation of new computer designs that employ parallel processing in one form or another in order to achieve maximum performance. Although the idea of improving the performance of computing machines by carrying out parts of the computation concurrently is not new (indeed, the concept was known to Babbage ), such machines have, until fairly recently, been confined to a few specialist research laboratories. Nowadays, parallel computers are commercially available and they are finding a wide range of applications in chemical calculations. The purpose of this volume is to review the impact that the advent of concurrent computation is already having, and is likely to have in the future, on chemical calculations. Although the potential of concurrent computation is still far from its full realization, it is already clear that it may turn out to be second in importance only to the introduction of the electronic digital computer itself.
| Author | : |
| Publisher | : |
| Total Pages | : 243 |
| Release | : 2000 |
| Genre | : Chemistry |
| ISBN | : |
| Author | : |
| Publisher | : |
| Total Pages | : 7 |
| Release | : 1994 |
| Genre | : |
| ISBN | : |
One of the most prominent aims in Computational Chemistry is the modeling of chemical reactions and the prediction of molecular properties. Quantum chemical methods are used for the calculation of molecular structures, spectra, reaction energy profiles and many other interesting quantities. Nowadays, the accuracy of the theoretical calculations can compete to an increasing extent with the experimental one. A great variety of quantum chemical methods exist ranging from the standard Hartree-Fock theory to sophisticated electron correlation approaches. From a computational point of view all these methods require rather lengthy and complicated program codes and have to handle a large amount of data to be stored on external devices. In the simplest case, the Hartree-Fock (SCF) method, ''direct'' algorithms have eliminated the I/O and storage bottleneck and have opened the way to parallel implementations. For post-Hartree-Fock methods the situation is much more complicated as will be demonstrated below. Therefore, most of the previous attempts in parallelizing quantum chemical ab initio programs concentrated on SCF methods. The authors investigations presented here are a continuation of their previous work on the parallelization of the COLUMBUS program system. The COLUMBUS program is based on the multireference single- and double-excitation configuration interaction (MRSDCI) approach. It is very portable and runs on a large variety of computers including numerous Unix-based workstations, VAX/VMS minicomputers, IBM mainframes and Cray supercomputers.
| Author | : Dieter W. Heermann |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 192 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 3642762654 |
Our aim in this book is to present and enlarge upon those aspects of parallel computing that are needed by practitioners of computational science. Today al most all classical sciences, such as mathematics, physics, chemistry and biology, employ numerical methods to help gain insight into nature. In addition to the traditional numerical methods, such as matrix inversions and the like, a whole new field of computational techniques has come to assume central importance, namely the numerical simulation methods. These methods are much less fully developed than those which are usually taught in a standard numerical math ematics course. However, they form a whole new set of tools for research in the physical sciences and are applicable to a very wide range of problems. At the same time there have been not only enormous strides forward in the speed and capability of computers but also dramatic new developments in computer architecture, and particularly in parallel computers. These improvements offer exciting prospects for computer studies of physical systems, and it is the new techniques and methods connected with such computer simulations that we seek to present in this book, particularly in the light of the possibilities opened up by parallel computers. It is clearly not possible at this early stage to write a definitive book on simulation methods and parallel computing.
| Author | : Jack Dongarra |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 582 |
| Release | : 1996-02-27 |
| Genre | : Computers |
| ISBN | : 9783540609025 |
This book presents the refereed proceedings of the Second International Workshop on Applied Parallel Computing in Physics, Chemistry and Engineering Science, PARA'95, held in Lyngby, Denmark, in August 1995. The 60 revised full papers included have been contributed by physicists, chemists, and engineers, as well as by computer scientists and mathematicians, and document the successful cooperation of different scientific communities in the booming area of computational science and high performance computing. Many widely-used numerical algorithms and their applications on parallel computers are treated in detail.
| Author | : Masaaki Geshi |
| Publisher | : Springer |
| Total Pages | : 219 |
| Release | : 2019-05-14 |
| Genre | : Computers |
| ISBN | : 9811361940 |
This book provides basic and practical techniques of parallel computing and related methods of numerical analysis for researchers who conduct numerical calculation and simulation. Although the techniques provided in this book are field-independent, these methods can be used in fields such as physics, chemistry, biology, earth sciences, space science, meteorology, disaster prevention, and manufacturing. In particular, those who develop software code in these areas will find this book useful. The contents are suitable for graduate students and researchers in computational science rather than novices at programming or informed experts in computer science. Starting with an introduction to the recent trends in computer architecture and parallel processing, Chapter 1 explains the basic knowledge of speedup programs with simple examples of numerical computing. Chapters 2 – 4 detail the basics of parallel programming, the message passing interface (MPI), and OpenMP and discuss hybrid parallelization techniques. Showing an actual example of adaptation, Chapter 5 gives an overview of performance tuning and communication optimizations. To deal with dense matrix calculations, Chapter 6 details the basics and practice of linear algebra calculation libraries BLAS and LAPACK, including some examples that can be easily reproduced by readers using free software. Focusing on sparse matrix calculations, Chapter 7 explains high performance algorithms for numerical linear algebra. Chapter 8 introduces the fast Fourier transform in large-scale systems from the basics. Chapter 9 explains optimization and related topics such as debug methods and version control systems. Chapter 10 discusses techniques for increasing computation accuracy as an essential topic in numerical calculation. This is the first of the two volumes that grew out of a series of lectures in the K computer project in Japan. The second volume will focus on advanced techniques and examples of applications in materials science.
| Author | : |
| Publisher | : |
| Total Pages | : 5 |
| Release | : 1994 |
| Genre | : |
| ISBN | : |
The recent successful adaptation of mainline computational chemistry codes to parallel computers introduces a new era of cost-effective, computer-intensive chemistry applications and paves the way for future applications on massively parallel centralized computers being developed under the High Performance Computer and Communications Initiative. Parallel computer architecture offers the promise of inexpensive supercomputing for the price of effort in algorithm adaptations to parallelism. In Chemical Sciences-supported work at Argonne, beginning efforts at algorithm changes in computational chemistry codes has resulted in program performances on the Group's 12-processor Alliant computer superior to that on one-processor Cray X-MP or Y-MP computers. The effort so far has focused on sophisticated and highly accurate electronic structure production codes for determining the forces between atoms and molecules responsible for chemical structure, spectra, and reactivity. Some effort has also been invested in trajectory simulations of molecular dynamics. The American-made Alliant computer (model FX/2812) is one of the latest generation of shared-memory group- or division-size computers that generally cost about an order of magnitude less than the laboratory- or university-size computers such as Crays.
