Key Features 1. A practical student guide to scientific computing on parallel computers 2. Based on teaching notes from ETH Zurich 3. Explanation by clear and easy to follow examples in C and Fortran 4. Includes theoretical background to examples5. Unique coverage of parallelism on microprocessors6. Appendix includes glossary of terms, and notations and symbols About the Book: Introduction to Parallel Computing In the last few years, courses on parallel computation have beendeveloped and offered in many institutions in the UK, Europe and USas a recognition of the growing significance of this topic inmathematics and computer science. There is a clear need for textsthat meet the needs of students and lecturers and this book, basedon the author's lecture at ETH Zurich, is an ideal practicalstudent guide to scientific computing on parallel computers workingup from a hardware instruction level, to shared memory machines,and finally to distributed memory machines. Aimed at advanced undergraduate and graduate students in appliedmathematics, computer science, and engineering, subjects coveredinclude linear algebra, fast Fourier transform, and Monte-Carlosimulations, including examples in C and, in some cases, Fortran.This book is also ideal for practitioners and programmers. Contents 1: Basic issues 2: Applications 3: SIMD, Single Instruction Multiple Data 4: Shared Memory Parallelism 5: MIMD, Multiple Instruction Multiple Data A: SSE Intrinsics for Floating Point B: AltiVec Intrinsics for Floating Point C: OpenMP commands D: Summary of MPI commands E: Fortran and C communication F: Glossary of terms G: Notation and symbols About the Authors: Wesley Petersen, Peter Arbenz Wesley Petersen, Seminar for Applied Mathematics, Department ofMathematics, ETHZ, Switzerland, and Peter Arbenz, Institute forScientific Computing, Department Informatik, ETHZ, Switzerland
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