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High Performance Computing: Paradigm and Infrastructure

By: Contributor(s): Material type: TextTextPublication details: New York Wiley International 2006Description: 778pISBN:
  • 9780471654711
Subject(s): DDC classification:
  • 004.35 HIG
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Item type Current library Item location Collection Call number Status Date due Barcode Item holds
Reference Book Reference Book NIMA Knowledge Centre 7th Floor Silence Zone Reference 004.35 HIG (Browse shelf(Opens below)) Not For Loan T0030444
Total holds: 0

Part - 1: Programming Model ClusterGOP: A High Level Programming Model The Challenge of Providing a High Level Programming Model for High performance Computing SAT: Toward Structured Parallelism Using Skeletons Bulk-Synchronous Parallelism: An Emerging Paradigm of High Performance Computing Click versus MPI: Comparing two Parallel Programming Styles on Heterogeneous Systems Nested Parallelism and Pipelining in OpenMP OpenMP for Chip Multiprocessors Part - 2: Architectural and System Support Compiler and Run-Time Parallelization Techniques for Scientific Computations on Distributed Memory Parallel Computers Enabling Partial Cache Line Prefetching Through Data Compression MPI Atomicity and Concurrent Overlapping I/O Code Tiling: One Size Fits All Data Conversion for Heterogeneous Migration Check pointing Receiving-Message Prediction and Its Speculative Execution An Investigation of the Applicability of Distributed FPGAs to High Performance Computing Part - 3: Scheduling and Resource Management Bandwidth- Aware Resource Allocation for Heterogeneous Computing Systems to Maximize Throughput Scheduling Algorithms with Bus Bandwidth Considerations for SMPs Toward Performance Guarantee of Dynamic Task Scheduling of a Parameter Sweep Application onto a Computational Grid Performance Study of Reliability Maximization and Turnaround Minimization With GA-based Task Allocation in DCS Toward Fast and Efficient Compile-Time Task Scheduling in Heterogeneous Computing Systems An On Line Approach for Classifying and Extracting Application Behavior on Linux Part - 4: Clusters and Grid Computing Peer-to-peer Grid Computing and a.NET-Based Alchemic Framework Global Grids and Software Toolkits: A Study of Four Grid Middleware Technologies High-Performance Computing on Clusters: the Distributed JVM Approach Data Grids: Supporting Data Intensive Applications in Wide Area Networks Application I/O on a Parallel File System for Linux Clusters One Teraflop Achieved with a Geographically Distributed Linux Cluster A Grid Based Distributed Simulation of Plasma Turbulence Evidence Aware Trust Model for Dynamic Services

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