Distributed and Parallel Systems

From Instruction Parallelism to Cluster Computing

AvPéter Kacsuk,Gabriele Kotsis

Häftad, Engelska, 2012

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Beskrivning

Distributed and Parallel Systems: From Instruction Parallelism to Cluster Computing is the proceedings of the third Austrian-Hungarian Workshop on Distributed and Parallel Systems organized jointly by the Austrian Computer Society and the MTA SZTAKI Computer and Automation Research Institute. This book contains 18 full papers and 12 short papers from 14 countries around the world, including Japan, Korea and Brazil. The paper sessions cover a broad range of research topics in the area of parallel and distributed systems, including software development environments, performance evaluation, architectures, languages, algorithms, web and cluster computing.This volume will be useful to researchers and scholars interested in all areas related to parallel and distributed computing systems.

Produktinformation

Utgivningsdatum:2012-10-17
Mått:155 x 235 x 14 mm
Vikt:382 g
Format:Häftad
Språk:Engelska
Serie:Springer International Series in Engineering and Computer Science
Antal sidor:233
Förlag:Springer-Verlag New York Inc.
ISBN:9781461370239

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Programvaruutveckling inom Data och IT

Innehållsförteckning

I: Software Development Environments and Performance Evaluation.- The DIWIDE Distributed Debugger on Windows NT and UNIX Platforms.- COBRA - the Library for Building Reliable Applications in Distributed Environment.- Design and Implementation of a Distributed Monitor for Semi-on-line Monitoring of VisualMP Applications.- Quality of Distributed Applications.- Performance Technology for Complex Parallel and Distributed Systems.- Evaluating Performance of OpenMP and MPI on the SGI Origin 2000 with Benchmarks of Realistic Problem Sizes.- Performance Tuning of Parallel Real-Time Voice Communication Software.- CLUE: A Tool for Cluster Evaluation.- II: Algorithms and Languages.- Efficient Run Time Optimization with Static Single Assignment.- On Classification Heuristics of Probabilistic System-Level Fault Diagnostic Algorithms.- Scalable Classification of Large Data Sets by Parallel Genetic Programming.- A New Heuristic for the Process-Processor Mapping Problem.- FIFO Buffers in Tie Sauce.- Parameterized M-expression Semantics of Parallel Procedures.- III: Architectures.- A Novel Execution Model for Logflow on a Hybrid Multithreaded Architecture.- The NOP Parallel Programming Model.- Thread Management Mechanisms of CEFOS.- The Parallel Video Server SESAME-KB.- The Poor Man’s Supercomputer 151.- An Improvement Technique for Hybrid Protocol for Software Distributed Shared Memory.- Cache-Only Write-Detection for Nautilus DSM.- Hive: Implementing a Virtual Distributed Shared Memory in Java.- IV: Web and Cluster Computing.- Analyzing Algebraic Curves by Cluster Computing.- A Novel Programming Strategy Considering Portable Wireless Nodes in a Heterogeneous Cluster.- Quality-aware Proxy Caching for Web Videos.- Cluster Command & Control (CS) Tools Suite.- Searching the Web as anElemental Semi-structured Information System of Today.- Prototyping Cluster-Based Distributed Applications.- Resource Management in a Jini-Based Metacomputing Framework.- Author Index.

Distributed and Parallel Systems

From Instruction Parallelism to Cluster Computing

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Distributed and Parallel Systems

From Instruction Parallelism to Cluster Computing

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Distributed and Parallel Systems

From Instruction Parallelism to Cluster Computing

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