Scientific Parallel Computing
- ISBN-10
- 0691227659
- ISBN-13
- 9780691227658
- Category
- Computers
- Pages
- 392
- Language
- English
- Published
- 2021-03-09
- Publisher
- Princeton University Press
- Authors
- L. Ridgway Scott, Terry Clark, Babak Bagheri
Description
What does Google's management of billions of Web pages have in common with analysis of a genome with billions of nucleotides? Both apply methods that coordinate many processors to accomplish a single task. From mining genomes to the World Wide Web, from modeling financial markets to global weather patterns, parallel computing enables computations that would otherwise be impractical if not impossible with sequential approaches alone. Its fundamental role as an enabler of simulations and data analysis continues an advance in a wide range of application areas. Scientific Parallel Computing is the first textbook to integrate all the fundamentals of parallel computing in a single volume while also providing a basis for a deeper understanding of the subject. Designed for graduate and advanced undergraduate courses in the sciences and in engineering, computer science, and mathematics, it focuses on the three key areas of algorithms, architecture, languages, and their crucial synthesis in performance. The book's computational examples, whose math prerequisites are not beyond the level of advanced calculus, derive from a breadth of topics in scientific and engineering simulation and data analysis. The programming exercises presented early in the book are designed to bring students up to speed quickly, while the book later develops projects challenging enough to guide students toward research questions in the field. The new paradigm of cluster computing is fully addressed. A supporting web site provides access to all the codes and software mentioned in the book, and offers topical information on popular parallel computing systems. Integrates all the fundamentals of parallel computing essential for today's high-performance requirements Ideal for graduate and advanced undergraduate students in the sciences and in engineering, computer science, and mathematics Extensive programming and theoretical exercises enable students to write parallel codes quickly More challenging projects later in the book introduce research questions New paradigm of cluster computing fully addressed Supporting web site provides access to all the codes and software mentioned in the book
Get the book
Similar books
-
Parallel Processing for Scientific Computing
By Michael A. Heroux, Padma Raghavan, Horst D. SimonThis book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific ...
-
Parallel Scientific Computing
By Frederic Magoules, François-Xavier Roux, Guillaume HouzeauxThis book presents the scientific computing techniques applied to parallel computing for the numerical simulation of large-scale problems; these problems result from systems modeled by partial differential equations.
-
Parallel Scientific Computation: A Structured Approach Using BSP and MPI
By Rob H. BisselingBisseling explains how to use the bulk synchronous parallel (BSP) model and the freely available BSPlib communication library in parallel algorithm design and parallel programming.
-
Programming Models for Parallel Computing
By Pavan BalajiThis book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today.
-
Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation
By George Em Karniadakis, Robert M. Kirby II2. Use a quadrature formula especially developed for the infinite interval. LAGUERRE INTEGRATION. Following the second approach here we introduce a weight function w(x) = e~", x e [0, oo], where we employ the Laguerre polynomial Ln(x) ...
-
Principles of Parallel Scientific Computing: A First Guide to Numerical Concepts and Programming Methods
By Tobias WeinzierlTobias Weinzierl is professor in the Department of Computer Science at Durham University, Durham, UK. He has worked at the Munich Centre for Advanced Computing (see the Springer edited book, Advanced Computing) before, and holds a PhD and ...
-
Parallel Computing for Data Science: With Examples in R, C++ and CUDA
By Norman MatloffParallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science.
-
Applied Parallel Computing: State of the Art in Scientific Computing. 8th International Workshop, PARA 2006, Umea, Sweden, June 18-21, 2006,...
By Jack Dongarra, Erik Elmroth, Jerzy WasniewskiThis book constitutes the thoroughly refereed post-proceedings of the 8th International Workshop on Applied Parallel Computing, PARA 2006.
-
Parallel Algorithms in Computational Science and Engineering
By Ananth Grama, Ahmed H. SamehThis contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally demanding applications.
-
Parallel Computing: Accelerating Computational Science and Engineering (CSE)
By M. Bader, A. Bode, H.-J. BungartzThese special sessions covered large-scale supercomputing, novel challenges arising from parallel architectures (multi-/manycore, heterogeneous platforms, FPGAs), multi-level algorithms as well as multi-scale, multi-physics and multi ...