book

Computational Technologies

Name: Computational Technologies
Author: Petr N. Vabishchevich
ISBN: 9783110386882

by Petr N. Vabishchevich

December 2014

Intermediate to advanced

278 pages

6h 2m

English

De Gruyter

Read now

Unlock full access

Title Page
Copyright Page
List of contributors
Table of Contents
Preface
Introduction
1 Architecture of parallel computing systems
1.1 History of computers1.2 Architecture of parallel computers1.2.1 Flynn’s taxonomy of parallel architecture1.2.2 Address-space organization1.3 Modern supercomputers1.4 Multicore computers1.5 Operating system processes and threads1.5.1 Processes1.5.2 Threads1.6 Programming multi-threaded applications1.6.1 Multi-threading: pros and cons1.6.2 Program models
2 Multi-threaded programming
2.1 POSIX threads2.2 Creating and terminating threads2.3 Thread life-cycle2.4 Multi-threaded matrix summation2.5 Thread synchronization2.5.1 Semaphore2.5.2 Mutex
3 Essentials of OpenMP
3.1 OpenMP parallel programming model3.2 The parallel construct3.3 Work-sharing constructs3.3.1 The for directive3.3.2 The sections directive3.3.3 The single directive3.3.4 Combined work-sharing constructs3.4 Work-sharing clauses3.4.1 The shared clause3.4.2 The private clause3.4.3 The schedule clause3.4.4 The reduction clause3.5 Synchronization3.5.1 The barrier directive3.5.2 The critical directive3.5.3 The atomic directive3.6 Dirichlet problem for the Poisson equation3.6.1 Problem formulation3.6.2 Parallel implementation
4 MPI technology
4.1 Preliminaries4.1.1 General information4.1.2 Compiling4.1.3 Getting started with MPI4.1.4 Determination of the number of processes and their ranks4.1.5 The standard MPI timer4.2 Message-passing operations4.2.1 Data exchange between two processes4.2.2 Data types4.3 Functions of collective interaction4.3.1 General information4.3.2 Synchronization function4.3.3 Broadcast function4.3.4 Data gathering functions4.3.5 Data distribution functions4.3.6 Matrix-vector multiplication4.3.7 Combined collective operations4.3.8 Global computational operations4.3.9 Scalar product of vectors4.4 Dirichlet problem for the Poisson equation4.4.1 Problem formulation4.4.2 Parallel algorithm

5 ParaView: An efficient toolkit for visualizing large datasets
5.1 An overview5.2 Data file formats5.2.1 Serial formats5.2.1.1 Structured points5.2.1.2 Structured grid5.2.1.3 Rectilinear grid5.2.1.4 Polygonal representation5.2.1.5 Unstructured grid5.2.2 XML formats5.3 Preparing data5.3.1 Structured 2D grid5.3.2 Structured 3D grid5.3.3 Unstructured 2D grid5.4 Working with ParaView5.4.1 Loading data5.4.2 Filters5.4.3 Time series5.5 Parallel visualization5.5.1 The architecture of ParaView5.5.2 Running in parallel mode
6 Tools for developing parallel programs
6.1 Installation of PTP6.1.1 Prerequisites6.1.2 Installing Eclipse with PTP6.1.3 Installing the plug-in6.2 Program management6.2.1 Basics of PTP6.2.2 Creating a connection with a remote computer6.2.3 Creating projects6.2.4 Project synchronization6.2.5 Editing MPI programs6.2.6 Building programs6.2.7 Running programs6.3 Parallel debugging6.3.1 Debug configuration6.3.2 Parallel debug perspective6.3.3 Process managing6.3.4 Breakpoints6.4 Performance analysis6.4.1 Installation6.4.2 Configuration6.4.3 Running
7 Applied software
7.1 Numerical simulation7.1.1 Mathematical modeling7.1.2 Basic steps of a computational experiment7.1.3 Mathematical models7.2 Applied software engineering7.2.1 Features of applied software7.2.2 Modular structure7.3 Software architecture7.3.1 Basic components7.3.2 Data preparation7.3.3 Computational modules7.3.4 Data processing and visualization7.4 General purpose applied software7.4.1 User-friendly interface7.4.2 Basic features7.4.3 The Salome platform7.5 Problem-oriented software7.5.1 Parametric study7.5.2 Componet-based implementation of functionalities7.5.3 Computational components
8 Geometry generation and meshing
8.1 General information8.1.1 Structured meshes8.1.2 Unstructured meshes8.2 The Gmsh workflow8.2.1 Elementary entities8.2.2 Commands for working with geometric objects8.2.3 Physical entities8.2.4 Building geometry8.2.5 Tools8.2.6 Creating a complex geometry8.2.7 Generating a mesh8.3 NETGEN first look8.3.1 Creating a geometry8.3.2 Generating a mesh
9 PETSc for parallel solving of linear and nonlinear equations
9.1 Preliminaries9.1.1 Brief description9.1.2 Installation9.1.3 Development of programs9.1.4 Matrices and vectors9.2 Solvers for systems of linear equations9.2.1 Problem formulation9.2.2 Finite difference approximation9.2.3 Numerical implementation9.3 Solution of nonlinear equations and systems9.3.1 Statement of the problem9.3.2 Solution algorithm9.3.3 Implementation in PETSc9.4 Solving unsteady problems9.4.1 Problem formulation9.4.2 Approximation9.4.3 The program
10 The FEniCS project
10.1 Preliminaries10.1.1 Main features10.1.2 Installation10.2 Model problem10.2.1 Problem formulation10.2.2 Variational formulation10.3 Finite element discretization10.3.1 Discretization10.3.2 Finite elements10.4 Program10.4.1 UFL application10.4.2 C++ implementation10.4.3 Linear solvers10.4.4 Compilation10.5 Result processing10.5.1 Visualization10.5.2 Functionals10.6 Nonlinear problems10.6.1 Problem formulation10.6.2 UFL application10.6.3 C++ implementation10.7 Time-dependent problems10.7.1 Problem description10.7.2 UFL application10.7.3 C++ implementation
11 Numerical study of applied problems
11.1 Heat transfer with phase transitions11.1.1 Mathematical model11.1.2 Finite element discretization11.1.3 Numerical implementation11.1.4 Predictions11.2 Lid-driven cavity flow11.2.1 Incompressible Navier-Stokes equations11.2.2 Variational formulation11.2.3 Numerical algorithm11.2.4 Computational experiments11.3 Steady thermoelasticity problem11.3.1 Governing equations11.3.2 Finite element technique11.3.3 Algorithm of calculations11.3.4 Numerical results11.4 Joule heating problem11.4.1 Problem formulation11.4.2 Discrete problem11.4.3 Computational algorithm11.4.4 Numerical simulations
Bibliography
Index

Content preview from Computational Technologies

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.

Julian F.

Head of Cybersecurity

I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.

Addison B.

Field Engineer

I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.

Amir M.

Data Platform Tech Lead

I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.

Mark W.

Embedded Software Engineer

From Computing to Computational Thinking

Publisher Resources

ISBN: 9783110359947

Cloud Computing

Data Engineering

Data Science

AI & ML

Programming Languages

Software Architecture

IT/Ops

Security

Design

Business

Soft Skills

Computational Technologies

by Petr N. Vabishchevich

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.