Computing with T.Node Parallel Architecture
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 ce...
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Dordrecht
Springer Netherlands
1991, 1991
|
| Edition: | 1st ed. 1991 |
| Series: | Eurocourses: Computer and Information Science
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- Parallel Programming
- Architecture, Programming Environment and Application of the Supernode Network of Transputers
- A Survey of Parallel Architecture
- An Introduction to Parallel Operating Systems
- Decoupling of Computation and Coordinating in Linda
- Helios — A Distributed Operating System for MIMD Computers
- Image Synthesis
- Porting a Large 3D Graphics System onto Transputers — Experiences from Implementing Mirashading on a Parallel Computer
- Recursive Parallel Computing with Hierarchical Structured Data on T. Node Computer
- Transputer Applications
- Terrain Modelling Tools on the Supernode Architecture
- Real Time Acquisition and Signal Processing on Transputers — Application to Electroencephalography
- Stochastic Modelisation and Parallel Computing
- Finite Element Simulations on Parallel Computer Architectures — Nonlinear Deformation Processes of Solids
- Neural Computing
- An Introduction to Neural Networks
- Implementation of a General Model of Cooperation between Cortical Areas on a Parallel System based on Transputers
- Hardware Accelerators for Neural Networks: Simulations in Parallel machines