LEADER 01077cam0-2200373---450- 001 990004069400403321 005 20110223090557.0 010 $a88-430-0314-3 035 $a000406940 035 $aFED01000406940 035 $a(Aleph)000406940FED01 035 $a000406940 100 $a19990604d1987----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay---e---00-y- 200 1 $a<>documento contemporaneo$ediplomatica e criteri di edizione$fPaola Carucci 210 $aRoma$cLa Nuova Italia Scientifica$dc1987 215 $a199 p.$d24 cm 225 1 $aBeni Culturali$v1 610 0 $aArchivistica 610 0 $aDiplomatica$aSec. 19.-20. 676 $a025.1714 700 1$aCarucci,$bPaola$f<1941- >$039137 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004069400403321 952 $aSE 014.07.02-$b738$fDECSE 952 $a025.17 BC (1)$bD.D.S. 2660$fFLFBC 952 $a025.17 BC (1) bis$bBIBL. 20247$fFLFBC 959 $aDECSE 959 $aFLFBC 996 $aDocumento contemporaneo$9154773 997 $aUNINA LEADER 00979nam0-22003611i-450- 001 990002515100403321 005 20100621141947.0 010 $a047106470X 035 $a000251510 035 $aFED01000251510 035 $a(Aleph)000251510FED01 035 $a000251510 100 $a20030910d1971----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aRandom Data$eAnalysis and Measurement Procedures$fJulius S. Bendat , Allan G. Piersol 210 $aNew York$cJohn Wiley$d1971 215 $aXV, 407 p.$d24 cm 610 0 $aProbabilitŕ 610 0 $aAnalisi stocastica 676 $a519 700 1$aBendat,$bJulius S.$f<1923- >$03923 702 1$aPiersol,$bG. Allan 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002515100403321 952 $aMII-A-50$b1993$fMAS 952 $a04 031-18$bIRC 81/L$fDINCH 959 $aMAS 959 $aDINCH 996 $aRandom data$9111676 997 $aUNINA LEADER 00696nam0-22002651i-450- 001 990003318250403321 005 20081114135255.0 035 $a000331825 035 $aFED01000331825 035 $a(Aleph)000331825FED01 035 $a000331825 100 $a20030910d1961----km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aMary Barton 210 $aLondon$cJ.M.Dent & Sons Ltd.$d1961 676 $a044 700 1$aGaskell,$bElizabeth Cleghorn$f<1810-1865 >$0131743 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003318250403321 952 $a044 GAS$bLINGUE 032980$fDECLI 959 $aDECLI 996 $aMary Barton$999888 997 $aUNINA LEADER 05550nam 2200721 450 001 9910831169503321 005 20230124181344.0 010 $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 $aComputer networks 615 0$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-$01602708 712 02$aWiley Online Library (Servicio en línea) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910831169503321 996 $aParallel computing on heterogeneous networks$93926742 997 $aUNINA