Parallel Processing for Scientific Computing: 20 (Software, Environments and Tools, Series Number 20) - Image 1

£105.00

Society for Industrial and Applied Mathematics (SIAM) Parallel Processing for Scientific Computing: 20 (Software, Environments and Tools, Series Number 20)

Name: Parallel Processing for Scientific Computing: 20 (Software, Environments and Tools, Series Number 20)
Brand: Society for Industrial and Applied Mathematics (SIAM)
Price: 105.0 GBP
Availability: InStock

International Relations

Price data last checked 57 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

Last 34 days • 34 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 34 days • 1 price levels

Days at Price

Price Analysis

Most common price: £105 (34 days, 100.0%)

Price range: £105 - £105

Price levels: 1 different prices over 34 days

Description

Product Description Parallel Processing for Scientific Computing is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, scientists, and computer scientists focus on to make parallel processing effective for scientific problems. It is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth looks at applications that require parallel computing for scaling to solve larger and more realistic models that can advance science and engineering. In sum, this is an up-to-date reference for researchers and application developers on the state of the art in scientific computing. It also serves as an excellent overview and introduction, especially for students interested in computational modeling and simulation. Book Description An up-to-date reference for researchers and application developers on the state of the art in scientific computing. About the Author Michael A. Heroux is the Solvers Project Leader at Sandia National Laboratory; his work focuses on new algorithm development and robust parallel implementation of solver components. He leads development of the Trilinos Project, an effort to provide solution methods in a state-of-the-art software framework. He also maintains an active interest in the interaction between scientific/engineering applications and high-performance computer architectures.Padma Raghavan is a Professor in the Department of Computer Science and Engineering at Pennsylvania State University. Her research interests include parallel and distributed computing, sparse matrix graph techniques and their applications, and software environments and component architectures for large-scale computational materials science.Horst D. Simon is Associate Laboratory Director for Computing Sciences at Lawrence Berkeley National Laboratory. His recursive spectral bisection algorithm is regarded as a breakthrough in parallel algorithms for unstructured computations, and he was honored for his algorithm research efforts with the 1988 Gordon Bell Prize for parallel processing research.

Product Specifications

Brand: Society for Industrial and Applied Mathematics (SIAM)
Format: Paperback
ASIN: 0898716195
Category: Books > Subjects > Politics, Philosophy & Social Sciences > Government & Politics > International Relations
Domain: Amazon UK
Release Date: 31 March 2007
Listed Since: 19 February 2007

Barcode

No barcode data available

Society for Industrial and Applied Mathematics (SIAM) Parallel Processing for Scientific Computing: 20 (Software, Environments and Tools, Series Number 20)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Programming Models for Parallel Computing (Scientific and Engineering Computation)

Parallel Algorithms in Computational Science and Engineering (Modeling and Simulation in Science, Engineering and Technology)

The Art of High Performance Computing for Computational Science, Vol. 1: Techniques of Speedup and Parallelization for General Purposes

Scientific Parallel Computing

Recent Progress in Computational Sciences and Engineering (2 vols): VOLUME 7 (Lecture Series on Computer and Computational Sciences)

Scientific Computing and Algorithms in Industrial Simulations: Projects and Products of Fraunhofer SCAI

Introduction to High Performance Scientific Computing (Software, Environments, and Tools)

Parallel Algorithms and Cluster Computing: Implementations, Algorithms and Applications: 52 (Lecture Notes in Computational Science and Engineering, 52)

Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications (Wiley Series on Parallel and Distributed Computing)

Applied Parallel and Distributed Computing: 16

Parallelism in Matrix Computations (Scientific Computation)

Introduction to Computational Modeling Using C and Open-Source Tools: 20 (Chapman & Hall/CRC Computational Science)

Parallel and Distributed Scientific and Engineering Computing: 15 (Practice And Experience Advances in Computation: Theory and Practice)

Advances in Computers: Dependable and Secure Systems Engineering: Volume 84 (Advances in Computers, Volume 84)

Advances in Computers (Volume 94)

Academic Press Dark Silicon and Future On-chip Systems Vol 110

Academic Press AI and Cloud Computing Volume 120 - Book

Academic Press Advances in Computers: Volume 114 - Book

Guide to Numerical Algorithm Design and Development: Including Legacy Examples from Fortran and MathCAD in High Precision (Texts in Computer Science)

Parallel Processing and Applied Mathematics: 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected ... (Lecture Notes in Computer Science, 12043)

Exascale Scientific Applications: Scalability and Performance Portability (Chapman & Hall/CRC Computational Science)

Numerical Analysis and Scientific Computation (Textbooks in Mathematics)

High Performance Parallel I/O: 22 (Chapman & Hall/CRC Computational Science)

High-Performance Scientific Computing: Algorithms and Applications