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 102 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

Same price for 73 weeks. Today is much like next week.

£105 for 509 days straight · last change was Oct 2024

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 629 days • 629 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 629 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £105 (509 days, 80.9%)

Price range: £94 - £124

Price levels: 3 different prices over 629 days

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)

Same price for 73 weeks. Today is much like next week.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Tools for High Performance Computing 2018 / 2019: Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High ... 2018, and Dresden, Germany, September 2019

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

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

Applied Parallel and Distributed Computing: 16

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

Parallel and High Performance Computing

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

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

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

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

Parallel Numerical Algorithms: 4 (ICASE LaRC Interdisciplinary Series in Science and Engineering, 4)

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

Scientific Parallel Computing

Advances in High Performance Computing: Results of the International Conference on “High Performance Computing” Borovets, Bulgaria, 2019: 902 (Studies in Computational Intelligence, 902)

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

Elements of Parallel Computing (Chapman & Hall/CRC Computational Science)

High Performance Computing in Science and Engineering ‘14: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2014

Advances and New Trends in Environmental Informatics: Managing Disruption, Big Data and Open Science (Progress in IS)

Domain Decomposition Methods in Science and Engineering XXI: 98 (Lecture Notes in Computational Science and Engineering, 98)

Domain Decomposition Methods in Science and Engineering XXI: 98 (Lecture Notes in Computational Science and Engineering, 98)

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

Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation

Parallel Programming for Modern High Performance Computing Systems

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