LEADER 05583nam 2200733 450 001 9910143173803321 005 20190716155716.0 010 $a1-280-36605-2 010 $a9786610366057 010 $a0-470-34948-4 010 $a0-471-45718-3 010 $a0-471-65416-7 035 $a(CKB)111086906274476 035 $a(EBL)792490 035 $a(SSID)ssj0000217944 035 $a(PQKBManifestationID)11191109 035 $a(PQKBTitleCode)TC0000217944 035 $a(PQKBWorkID)10212627 035 $a(PQKB)10239713 035 $a(MiAaPQ)EBC792490 035 $a(MiAaPQ)EBC5200733 035 $a(EXLCZ)99111086906274476 100 $a20180209h20032003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aParallel computing on heterogeneous networks /$fAlexey Lastovetsky 210 1$aHoboken, New Jersey :$cWiley-Interscience,$d2003. 210 4$d©2003 215 $a1 online resource (440 p.) 225 1 $aWiley Series on Parallel and Distributed Computing 225 0$aWiley series on parallel and distributed computing 300 $aDescription based upon print version of record. 311 $a0-471-22982-2 320 $aIncludes bibliographical references and index. 327 $aPARALLEL COMPUTING ON HETEROGENEOUS NETWORKS; CONTENTS; Acknowledgments; Introduction; PART I EVOLUTION OF PARALLEL COMPUTING; 1. Serial Scalar Processor; 1.1. Serial Scalar Processor and Programming Model; 1.2. Basic Program Properties; 2. Vector and Superscalar Processors; 2.1. Vector Processor; 2.2. Superscalar Processor; 2.3. Programming Model; 2.4. Optimizing Compilers; 2.5. Array Libraries; 2.5.1. Level 1 BLAS; 2.5.2. Level 2 BLAS; 2.5.3. Level 3 BLAS; 2.5.4. Sparse BLAS; 2.6. Parallel Languages; 2.6.1. Fortran 90; 2.6.2. The C[ ] Language 327 $a2.7. Memory Hierarchy and Parallel Programming Tools2.8. Summary; 3. Shared Memory Multiprocessors; 3.1. Shared Memory Multiprocessor Architecture and Programming Models; 3.2. Optimizing Compilers; 3.3. Thread Libraries; 3.3.1. Operations on Threads; 3.3.2. Operations on Mutexes; 3.3.3. Operations on Condition Variables; 3.3.4. Example of MT Application: Multithreaded Dot Product; 3.4. Parallel Languages; 3.4.1. Fortran 95; 3.4.2. OpenMP; 3.5. Summary; 4. Distributed Memory Multiprocessors; 4.1. Distributed Memory Multiprocessor Architecture: Programming Model and Performance Models 327 $a4.2. Message-Passing Libraries4.2.1 Basic MPI Programming Model; 4.2.2. Groups and Communicators; 4.2.3. Point-to-Point Communication; 4.2.4. Collective Communication; 4.2.5. Environmental Management; 4.2.6. Example of an MPI Application: Parallel Matrix-Matrix Multiplication; 4.3. Parallel Languages; 4.4. Summary; 5. Networks of Computers: Architecture and Programming Challenges; 5.1. Processors Heterogeneity; 5.1.1. Different Processor Speeds; 5.1.2. Heterogeneity of Machine Arithmetic; 5.2. Ad Hoc Communication Network; 5.3. Multiple-User Decentralized Computer System 327 $a5.3.1. Unstable Performance Characteristics5.3.2. High Probability of Resource Failures; 5.4. Summary; PART II PARALLEL PROGRAMMING FOR NETWORKS OF COMPUTERS WITH MPC AND HMPI; 6. Introduction to mpC; 6.1. First mpC Programs; 6.2. Networks; 6.3. Network Type; 6.4. Network Parent; 6.5. Synchronization of Processes; 6.6. Network Functions; 6.7. Subnetworks; 6.8. A Simple Heterogeneous Algorithm Solving an Irregular Problem; 6.9. The RECON Statement: A Language Construct to Control the Accuracy of the Underlying Model of Computer Network 327 $a6.10. A Simple Heterogeneous Algorithm Solving a Regular Problem6.11. Principles of Implementation; 6.11.1. Model of a Target Message-Passing Program; 6.11.2. Mapping of the Parallel Algorithm to the Processors of a Heterogeneous Network; 6.12. Summary; 7. Advanced Heterogeneous Parallel Programming in mpC; 7.1. Interprocess Communication; 7.2. Communication Patterns; 7.3. Algorithmic Patterns; 7.4. Underlying Models and the Mapping Algorithm; 7.4.1. Model of a Heterogeneous Network of Computers; 7.4.2. The Mapping Algorithm; 7.5. Summary 327 $a8. Toward a Message-Passing Library for Heterogeneous Networks of Computers 330 $aNew approaches to parallel computing are being developed that make better use of the heterogeneous cluster architectureProvides a detailed introduction to parallel computing on heterogenous clustersAll concepts and algorithms are illustrated with working programs that can be compiled and executed on any clusterThe algorithms discussed have practical applications in a range of real-life parallel computing problems, such as the N-body problem, portfolio management, and the modeling of oil extraction 410 0$aWiley Series on Parallel and Distributed Computing 606 $aInternetworking (Telecommunication) 606 $aParallel programming (Computer science) 606 $aHeterogeneous computing 606 $aComputer networks 608 $aElectronic books. 615 0$aInternetworking (Telecommunication) 615 0$aParallel programming (Computer science) 615 0$aHeterogeneous computing. 615 0$aComputer networks. 676 $a005.2/75 700 $aLastovetsky$b Alexey$f1957-$0955836 712 02$aWiley Online Library (Servicio en línea) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143173803321 996 $aParallel computing on heterogeneous networks$92163497 997 $aUNINA