Applied Parallel Computing

By: Yuefan Deng

Write A Review

Hardcover | 28 August 2012

At a Glance

Hardcover
220 Pages

Dimensions(cm)
22.86 x 15.24 x 1.42

Hardcover

RRP $198.99

$179.75

10%OFF

or 4 interest-free payments of $44.94 with

Ships in 15 to 25 business days

The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of applications.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $89.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Computer Architecture & Logic Design Parallel Processing Databases Data Capture & Analysis Mathematics Applied Mathematics Computer Programming & Software Development Algorithms & Data Structures Computer Hardware

Supercomputers Grid & Parallel Computing Booktopia Publisher Services World Scientific Publishing

Preface	p. v
Introduction	p. 1
Definition of Parallel Computing	p. 1
Evolution of Computers	p. 4
An Enabling Technology	p. 8
Cost Effectiveness	p. 9
Performance Metrics and Models	p. 13
Parallel Activity Trace	p. 13
Speedup	p. 14
Parallel Efficiency	p. 15
Load Imbalance	p. 15
Granularity	p. 16
Overhead	p. 17
Scalability	p. 18
Amdahl's Law	p. 18
Hardware Systems	p. 19
Node Architectures	p. 19
Network Interconnections	p. 21
Instruction and Data Streams	p. 28
Processor-Memory Connectivity	p. 29
IO Subsystems	p. 29
System Convergence	p. 31
Design Considerations	p. 31
Software Systems	p. 35
Node Software	p. 35
Programming Models	p. 37
Parallel Debuggers	p. 43
Parallel Profilers	p. 43
Design of Algorithms	p. 45
Algorithm Models	p. 46
Examples of Collective Operations	p. 54
Mapping Tasks to Processors	p. 56
Linear Algebra	p. 65
Problem Decomposition	p. 65
Matrix Operations	p. 68
Solution of Linear Systems	p. 81
Differential Equations	p. 89
Integration and Differentiation	p. 89
Partial Differential Equations	p. 92
Fourier Transforms	p. 105
Fourier Transforms	p. 105
Discrete Fourier Transforms	p. 106
Fast Fourier Transforms	p. 107
Simple Parallelization	p. 111
The Transpose Method	p. 112
Complexity Analysis for FFT	p. 113
Optimization	p. 115
Monte Carlo Methods	p. 116
Parallelization	p. 119
Applications	p. 123
Newton's Equation and Molecular Dynamics	p. 124
Schrodinger's Equations and Quantum Mechanics	p. 133
Partition Function, DFT and Material Science	p. 134
Maxwell's Equations and Electrical Engineering	p. 135
Diffusion Equation and Mechanical Engineering	p. 135
Navier-Stokes Equation and CFD	p. 136
Other Applications	p. 136
MPI	p. 139
An MPI Primer	p. 139
Examples of Using MPI	p. 159
MPI Tools	p. 161
Complete List of MPI Functions	p. 167
OpenMP	p. 171
Introduction to OpenMP	p. 171
Memory Model of OpenMP	p. 172
OpenMP Directives	p. 172
Synchronization	p. 174
Runtime Library Routines	p. 175
Examples of Using OpenMP	p. 178
The Future	p. 180
Projects	p. 181
Watts and Flops of Supercomputers	p. 181
Review of Supercomputers	p. 181
Top500 and BlueGene Supercomputers	p. 181
Say Hello in Order	p. 182
Broadcast on Torus	p. 183
Competing with MPI on Broadcast, Scatter, etc	p. 183
Simple Matrix Multiplication	p. 183
Matrix Multiplication on 4D Torus	p. 183
Matrix Multiplication and PAT	p. 184
Matrix Inversion	p. 184
Simple Analysis of an iBT Network	p. 185
Compute Eigenvalues of Adjacency Matrices of Networks	p. 185
Mapping Wave Equation to Torus	p. 185
Load Balance in 3D Mesh	p. 186
Wave Equation and PAT	p. 186
Computing Coulomb's Forces	p. 187
Timing Model for MD	p. 187
Minimizing Lennard-Jones Potential	p. 188
Install and Profile CP2K	p. 188
Install and Profile CPMD	p. 189
Install and Profile NAMD	p. 190
FFT on Beowulf	p. 190
FFT on BlueGene/Q	p. 191
Word Analysis	p. 191
Cost Estimate of a 0.1 Pflops System	p. 191
Design of a Pflops System	p. 191
Program Examples	p. 193
Matrix-Vector Multiplication	p. 193
Long Range N-body Force	p. 195
Integration	p. 201
References	p. 203
Index	p. 205
Table of Contents provided by Ingram. All Rights Reserved.

Applied Parallel Computing

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Parallel Processing

Fundamentals of Software Architecture

A Modern Engineering Approach

Site Reliability Engineering

How Google Runs Production Systems

Learning Opentelemetry

Setting Up and Operating a Modern Observability System

Rust Atomics and Locks

Low-Level Concurrency in Practice

Quantum Artificial Intelligence

Technologies, Algorithms and Programming

Embedded Artificial Intelligence

Real-Life Applications and Case Studies

Embedded Systems for Biomedical Applications

Introduction to High Performance Computing for Scientists and Engineers

Chapman & Hall/CRC Computational Science

Explainable AI (XAI) for Sustainable Development

Trends and Applications

MLOps with Databricks

Machine Learning End-To-End

Domain-Driven Transformation

Modernize Legacy Systems and Mitigate Risk

Building Resilient Distributed Systems

Patterns and Practices for Stable Software

Modern Concurrency in Java

Virtual Threads, Structured Concurrency, and Beyond

Fundamentals of Metadata Management

Uncover the Meta Grid and Unlock It, Data, Information, and Knowledge Management

Server-Side Webassembly

Building Portable and Secure Multi-Language Apps

Programming Massively Parallel Processors

A Hands-On Approach

Technology Strategy Patterns

Architecture as Strategy

Seeking SRE

Conversations about Running Production Systems at Scale

Effective Rust

35 Specific Ways to Improve Your Rust Code

Adaptive Enterprise Architecture As Information

Architecting Intelligent Enterprises

Foundations of Scalable Systems

Designing Distributed Architectures

Observability Engineering

Achieving Production Excellence

Production Kubernetes

Building Successful Application Platforms

Flow Architectures

The Future of Streaming and Event-Driven Integration

This product is categorised by