LEADER 01880cam0-2200589---450- 001 990000052900203316 005 20101203095937.0 010 $a88-14-07717-7 035 $a0005290 035 $aUSA010005290 035 $a(ALEPH)000005290USA01 035 $a0005290 100 $a20000914d1999----|||y0itay0103----ba 101 0 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aCodice deontologico forense$fConsiglio Nazionale Forense 210 $aMilano$cGiuffrè$dcopyr. 1999 215 $aVIII, 117 p.$d24 cm 225 2 $aRassegna forense. Quaderni$v3 300 $aTesto in francese, inglese, tedesco,spagnolo 410 0$12001$aRassegna forense 606 0 $aAvvocati$xMorale professionale 676 $a174.30945 710 02$aConsiglio nazionale forense$0287706 801 $aIT$bSALBC$gISBD 912 $a990000052900203316 951 $aXXI.5. 97 (IG XIX 251)$b24115 G.$cXXI.5. 97 (IG XIX)$d00239218 959 $aBK 979 $c20000914$lUSA01$h1723 979 $c20000919$lUSA01$h1047 979 $c20000919$lUSA01$h1520 979 $c20001019$lUSA01$h1055 979 $c20001019$lUSA01$h1452 979 $c20001019$lUSA01$h1500 979 $c20001019$lUSA01$h1537 979 $c20001024$lUSA01$h1513 979 $c20001027$lUSA01$h1518 979 $c20001027$lUSA01$h1522 979 $c20001110$lUSA01$h1709 979 $c20001124$lUSA01$h1206 979 $aPATTY$b90$c20010613$lUSA01$h1627 979 $c20020403$lUSA01$h1612 979 $aCHIARA$b90$c20030321$lUSA01$h1001 979 $aCHIARA$b90$c20030423$lUSA01$h1208 979 $aCHIARA$b90$c20030423$lUSA01$h1208 979 $aPATRY$b90$c20040406$lUSA01$h1605 979 $aRSIAV2$b90$c20090902$lUSA01$h1133 979 $aRSIAV4$b90$c20101203$lUSA01$h0959 996 $aCodice deontologico forense$9943638 997 $aUNISA bas $agiu LEADER 04522nam 22005055 450 001 9910350230403321 005 20241016135012.0 010 $a981-13-6194-0 024 7 $a10.1007/978-981-13-6194-4 035 $a(CKB)4100000008525809 035 $a(DE-He213)978-981-13-6194-4 035 $a(MiAaPQ)EBC5776198 035 $a(PPN)236520660 035 $a(EXLCZ)994100000008525809 100 $a20190514d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Art of High Performance Computing for Computational Science, Vol. 1 $eTechniques of Speedup and Parallelization for General Purposes /$fedited by Masaaki Geshi 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (IX, 219 p. 119 illus., 39 illus. in color.) 311 $a981-13-6193-2 327 $aChapter 1: High-Performance Computing Basics -- Chapter 2: Basics of MPI Programming -- Chapter 3: Basics of OpenMP Programming -- Chapter 4: Hybrid Parallelization Techniques -- Chapter 5: Application of Techniques for High-Performance Computing -- Chapter 6: Basics and practice of linear algebra calculation library BLAS and LAPACK -- Chapter 7: High performance algorithms for numerical linear algebra -- Chapter 8: Fast Fourier Transform in Large Scale Systems -- Chapter 9: Optimization and Related Topics -- Chapter 10: Techniques concerning computation accuracy. 330 $aThis book provides basic and practical techniques of parallel computing and related methods of numerical analysis for researchers who conduct numerical calculation and simulation. Although the techniques provided in this book are field-independent, these methods can be used in fields such as physics, chemistry, biology, earth sciences, space science, meteorology, disaster prevention, and manufacturing. In particular, those who develop software code in these areas will find this book useful. The contents are suitable for graduate students and researchers in computational science rather than novices at programming or informed experts in computer science. Starting with an introduction to the recent trends in computer architecture and parallel processing, Chapter 1 explains the basic knowledge of speedup programs with simple examples of numerical computing. Chapters 2 ? 4 detail the basics of parallel programming, the message passing interface (MPI), and OpenMP and discuss hybrid parallelization techniques. Showing an actual example of adaptation, Chapter 5 gives an overview of performance tuning and communication optimizations. To deal with dense matrix calculations, Chapter 6 details the basics and practice of linear algebra calculation libraries BLAS and LAPACK, including some examples that can be easily reproduced by readers using free software. Focusing on sparse matrix calculations, Chapter 7 explains high performance algorithms for numerical linear algebra. Chapter 8 introduces the fast Fourier transform in large-scale systems from the basics. Chapter 9 explains optimization and related topics such as debug methods and version control systems. Chapter 10 discusses techniques for increasing computation accuracy as an essential topic in numerical calculation. This is the first of the two volumes that grew out of a series of lectures in the K computer project in Japan. The second volume will focus on advanced techniques and examples of applications in materials science. 606 $aComputer programming 606 $aCheminformatics 606 $aComputer simulation 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aComputer Applications in Chemistry$3https://scigraph.springernature.com/ontologies/product-market-codes/C13009 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 615 0$aComputer programming. 615 0$aCheminformatics. 615 0$aComputer simulation. 615 14$aProgramming Techniques. 615 24$aComputer Applications in Chemistry. 615 24$aSimulation and Modeling. 676 $a005.11 702 $aGeshi$b Masaaki$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910350230403321 996 $aThe Art of High Performance Computing for Computational Science, Vol. 1$92504628 997 $aUNINA