This text has evolved from a new curriculum in scientific computing that was developed to teach undergraduate science and engineering students the use of high-performance computing systems(supercomputers) in scientific and engineering applications. An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practising scientists and engineers, especially those associated with any of the national laboratories or supercomputer centres.
Table of Contents
CONTENTS:
Series Foreword. Preface. An Overview of Scientific Computing. Part I: BACKGROUND—A Review of Selected Topics from Numerical Analysis. IEEE Arithmetic Short Reference. UNIX, vi, and ftp: A Quick Review. Elements of UNIX Make. Elements of Fortran. Part II: TOOLS—Elements of Matlab. Elements of IDL. Elements of AVS. Part III: SCIENTIFIC VISUALIZATION—Scientific Visualization. Part IV: ARCHITECTURES—Computer Performance. Vector Computing. Distributed-memory MIMD Computing. SIMD Computing. Part V: APPLICATIONS—Advection. Computerized Tomography. Bibliography. Index.
