TY  - BOOK
AU  - Yang, Laurence T.
AU  - Guo, Minyi
TI  - High Performance Computing: Paradigm and Infrastructure
SN  - 9780471654711
U1  - 004.35 
PY  - 2006///
CY  - New York
PB  - Wiley International
KW  - Computer Engineering
N1  - 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
ER  -