000			02806nam a2200181Ia 4500
008			140223b2006 xxu||||| |||| 00| 0 eng d
020			_a9780471654711 _c0.00
082			_a004.35 _bHIG
100			_aYang, Laurence T.
245			_aHigh Performance Computing: Paradigm and Infrastructure
260			_aNew York _bWiley International _c2006
300			_a778p
500			_aPart - 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
600			_aComputer Engineering
700			_aGuo, Minyi
890			_aUSA
995			_AHIG _B005852 _CCEE-PG0 _D5676.96 _E0 _F049 _G94369 _H0 _I0.00 _J4059.00 28.5% _L20070709 _M06 _UC _W20070821 _XHimanshu Book Co. _ZReference
999			_c46650 _d46650