
- 302 pages
- English
- PDF
- Available on iOS & Android
Parallel and Distributed Computing
About this book
The 14 chapters presented in this book cover a wide variety of representativeworks ranging from hardware design to application development. Particularly, the topicsthat are addressed are programmable and reconfigurable devices and systems, dependabilityof GPUs (General Purpose Units), network topologies, cache coherence protocols, resourceallocation, scheduling algorithms, peertopeer networks, largescale network simulation, andparallel routines and algorithms. In this way, the articles included in this book constitutean excellent reference for engineers and researchers who have particular interests in each ofthese topics in parallel and distributed computing.
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Table of contents
- Parallel and Distributed Computing
- Contents
- Preface
- 1. Fault tolerance of programmable devices
- 2. Fragmentation management for HW multitasking in 2D Reconfigurable Devices: Metrics and Defragmentation Heuristics
- 3. TOTAL ECLIPSE—An Efficient Architectural Realization of the Parallel Random Access Machine
- 4. Facts, Issues and Questions - GPUs for Dependability
- 5. Shuffle-Exchange Mesh Topology for Networks-on-Chip
- 6. Cache Coherence Protocols for Many-Core CMPs
- 7. Using hardware resource allocation to balance HPC applications
- 8. A Fixed-Priority Scheduling Algorithm for Multiprocessor Real-Time Systems
- 9. Plagued by Work: Using Immunity to Manage the Largest Computational Collectives
- 10. Scheduling of Divisible Loads on Heterogeneous Distributed Systems
- 11. On the Role of Helper Peers in P2P Networks
- 12. Parallel and Distributed Immersive Real-Time Simulation of Large-Scale Networks
- 13. A parallel simulated annealing algorithm 4pt as a tool for fitness landscapes exploration
- 14. Fine-Grained Parallel Genomic Sequence Comparison
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