Ebook: Computing with T.Node Parallel Architecture
- Tags: Processor Architectures, Programming Languages Compilers Interpreters, Artificial Intelligence (incl. Robotics), Computer Graphics
- Series: Eurocourses: Computer and Information Science 3
- Year: 1991
- Publisher: Springer Netherlands
- Edition: 1
- Language: English
- pdf
Parallel processing is seen today as the means to improve the power of computing facilities by breaking the Von Neumann bottleneck of conventional sequential computer architectures. By defining appropriate parallel computation models definite advantages can be obtained. Parallel processing is the center of the research in Europe in the field of Information Processing Systems so the CEC has funded the ESPRIT Supemode project to develop a low cost, high performance, multiprocessor machine. The result of this project is a modular, reconfigurable architecture based on !NMOS transputers: T.Node. This machine can be considered as a research, industrial and commercial success. The CEC has decided to continue to encourage manufacturers as well as research and end-users of transputers by funding other projects in this field. This book presents course papers of the Eurocourse given at the Joint Research Centre in ISPRA (Italy) from the 4th to 8 of November 1991. First we present an overview of various trends in the design of parallel architectures and specially of the T.Node with it's software development environments, new distributed system aspects and also new hardware extensions based on the !NMOS T9000 processor. In a second part, we review some real case applications in the field of image synthesis, image processing, signal processing, terrain modeling, particle physics simulation and also enhanced parallel and distributed numerical methods on T.Node.
Content:
Front Matter....Pages i-vii
Architecture, Programming Environment and Application of the Supernode Network of Transputers....Pages 1-11
A Survey of Parallel Architecture....Pages 13-22
An Introduction to Parallel Operating Systems....Pages 23-41
Decoupling of Computation and Coordination in Linda....Pages 43-62
Helios — A Distributed Operating System for MIMD Computers....Pages 63-71
Porting a Large 3D Graphics System onto Transputers — Experiences from Implementing Mirashading on a Parallel Computer....Pages 73-85
Recursive Parallel Computing with Hierarchical Structured Data on T.Node Computer....Pages 87-100
Terrain Modelling Tools on the Supernode Architecture....Pages 101-114
Real Time Acquisition and Signal Processing on Transputers Application to Electroencephalography....Pages 115-133
Stochastic Modelisation and Parallel Computing....Pages 135-161
Finite Element Simulations on Parallel Computer Architectures — Nonlinear Deformation Processes of Solids....Pages 163-196
An Introduction to Neural Networks....Pages 197-211
Implementation of a General Model of Cooperation between Cortical Areas on a Parallel System Based on Transputers....Pages 213-233
Hardware Accelerators for Neural Networks: Simulations in Parallel machines....Pages 235-264
Content:
Front Matter....Pages i-vii
Architecture, Programming Environment and Application of the Supernode Network of Transputers....Pages 1-11
A Survey of Parallel Architecture....Pages 13-22
An Introduction to Parallel Operating Systems....Pages 23-41
Decoupling of Computation and Coordination in Linda....Pages 43-62
Helios — A Distributed Operating System for MIMD Computers....Pages 63-71
Porting a Large 3D Graphics System onto Transputers — Experiences from Implementing Mirashading on a Parallel Computer....Pages 73-85
Recursive Parallel Computing with Hierarchical Structured Data on T.Node Computer....Pages 87-100
Terrain Modelling Tools on the Supernode Architecture....Pages 101-114
Real Time Acquisition and Signal Processing on Transputers Application to Electroencephalography....Pages 115-133
Stochastic Modelisation and Parallel Computing....Pages 135-161
Finite Element Simulations on Parallel Computer Architectures — Nonlinear Deformation Processes of Solids....Pages 163-196
An Introduction to Neural Networks....Pages 197-211
Implementation of a General Model of Cooperation between Cortical Areas on a Parallel System Based on Transputers....Pages 213-233
Hardware Accelerators for Neural Networks: Simulations in Parallel machines....Pages 235-264
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