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Algorithms and Architectures for Parallel Processing

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Cover of 'Algorithms and Architectures for Parallel Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Clustering and Change Detection in Multiple Streaming Time Series
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    Chapter 2 Lightweight Identification of Captured Memory for Software Transactional Memory
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    Chapter 3 Layer-Based Scheduling of Parallel Tasks for Heterogeneous Cluster Platforms
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    Chapter 4 Deadline-Constrained Workflow Scheduling in Volunteer Computing Systems
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    Chapter 5 Is Sensor Deployment Using Gaussian Distribution Energy Balanced?
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    Chapter 6 Shedder: A Metadata Sharing Management Method across Multi-clusters
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    Chapter 7 PDB: A Reliability-Driven Data Reconstruction Strategy Based on Popular Data Backup for RAID4 SSD Arrays
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    Chapter 8 Load and Thermal-Aware VM Scheduling on the Cloud
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    Chapter 9 Optimistic Concurrency Control for Energy Efficiency in the Wireless Environment
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    Chapter 10 POIGEM: A Programming-Oriented Instruction Level GPU Energy Model for CUDA Program
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    Chapter 11 PastryGridCP: A Decentralized Rollback-Recovery Protocol for Desktop Grid Systems
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    Chapter 12 Improving Continuation-Powered Method-Level Speculation for JVM Applications
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    Chapter 13 Applicability of the (m,k)-firm Approach for the QoS Enhancement in Distributed RTDBMS
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    Chapter 14 A Parallel Distributed System for Gene Expression Profiling Based on Clustering Ensemble and Distributed Optimization
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    Chapter 15 Unimodular Loop Transformations with Source-to-Source Translation for GPUs
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    Chapter 16 HMHS: Hybrid Multistage Heuristic Scheduling Algorithm for Heterogeneous MapReduce System
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    Chapter 17 Dynamic Resource Management in a HPC and Cloud Hybrid Environment
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    Chapter 18 Candidate Set Parallelization Strategies for Ant Colony Optimization on the GPU
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    Chapter 19 Synchronization-Reducing Variants of the Biconjugate Gradient and the Quasi-Minimal Residual Methods
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    Chapter 20 Memory Efficient Multi-Swarm PSO Algorithm in OpenCL on an APU
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    Chapter 21 Multi-objective Parallel Machines Scheduling for Fault-Tolerant Cloud Systems
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    Chapter 22 Exploring Irregular Reduction Support in Transactional Memory
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    Chapter 23 Coordinate Task and Memory Management for Improving Power Efficiency
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    Chapter 24 Deconvolution of Huge 3-D Images: Parallelization Strategies on a Multi-GPU System
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    Chapter 25 Hardware-Assisted Intrusion Detection by Preserving Reference Information Integrity
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    Chapter 26 A DNA Computing System of Modular-Multiplication over Finite Field GF(2n)
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    Chapter 27 A Message Logging Protocol Based on User Level Failure Mitigation
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    Chapter 28 H-DB: Yet Another Big Data Hybrid System of Hadoop and DBMS
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    Chapter 29 Sequential and Parallelized FPGA Implementation of Spectrum Sensing Detector Based on Kolmogorov-Smirnov Test
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    Chapter 30 A Reconfigurable Ray-Tracing Multi-Processor SoC with Hardware Replication-Aware Instruction Set Extension
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    Chapter 31 Demand-Based Scheduling Priorities for Performance Optimisation of Stream Programs on Parallel Platforms
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    Chapter 32 A Novel Architecture for Financial Investment Services on a Private Cloud
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    Chapter 33 Building Platform as a Service for High Performance Computing over an Opportunistic Cloud Computing
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    Chapter 34 A Buffering Method for Parallelized Loop with Non-Uniform Dependencies in High-Level Synthesis
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    Chapter 35 Character of Graph Analysis Workloads and Recommended Solutions on Future Parallel Systems
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    Chapter 36 HySARC2: Hybrid Scheduling Algorithm Based on Resource Clustering in Cloud Environments
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    Chapter 37 M&C: A Software Solution to Reduce Errors Caused by Incoherent Caches on GPUs in Unstructured Graphic Algorithm
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    Chapter 38 Interference-Aware Program Scheduling for Multicore Processors
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    Chapter 39 WABRM: A Work-Load Aware Balancing and Resource Management Framework for Swift on Cloud
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    Chapter 40 Cache Optimizations of Distributed Storage for Software Streaming Services
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    Chapter 41 AzureITS: A New Cloud Computing Intelligent Transportation System
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Title
Algorithms and Architectures for Parallel Processing
Published by
Springer International Publishing, January 2013
DOI 10.1007/978-3-319-03859-9
ISBNs
978-3-31-903858-2, 978-3-31-903859-9
Authors

Antonio Balzanella, Rosanna Verde

Editors

Joanna Kołodziej, Beniamino Di Martino, Domenico Talia, Kaiqi Xiong

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Student > Doctoral Student 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Environmental Science 1 25%
Computer Science 1 25%
Unknown 2 50%