LEADER 01090nam0-22003491i-450- 001 990000967670403321 035 $a000096767 035 $aFED01000096767 035 $a(Aleph)000096767FED01 035 $a000096767 100 $a20000920d1986----km-y0itay50------ba 101 0 $aeng 200 1 $aSupersymmetry$eProceedings of Summer Institute on Particle Physics July 29 - August 9, 1985$fedited by Eileen C. Brennan$gProgram Directors Gary J. Feldman, Frederick J. Gilman, David 210 $aStanford$cStanford University Press$d1986 215 $a156 p.$d25 cm 225 1 $aSLAC Report$v296 610 0 $aParticelle elementari 610 0 $aRaggi cosmici 610 0 $aAcceleratori 676 $a539.72$a539.73 700 1$aBrennan,$bEileen C.$045299 702 1$aFeldman,$bGary J. 702 1$aGilman,$bFrederick J. 702 1$aLeith,$bDavid W. G. S. 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000967670403321 952 $a33-180.011$b13747$fFI1 959 $aFI1 996 $aSupersymmetry$9358587 997 $aUNINA DB $aING01 LEADER 05400nam 22007215 450 001 9910299222303321 005 20200630020630.0 010 $a3-319-20744-X 024 7 $a10.1007/978-3-319-20744-5 035 $a(CKB)3710000000492523 035 $a(EBL)4178341 035 $a(SSID)ssj0001584266 035 $a(PQKBManifestationID)16264083 035 $a(PQKBTitleCode)TC0001584266 035 $a(PQKBWorkID)14864466 035 $a(PQKB)11625705 035 $a(DE-He213)978-3-319-20744-5 035 $a(MiAaPQ)EBC4178341 035 $a(PPN)190532920 035 $a(EXLCZ)993710000000492523 100 $a20151016d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHigh-Performance Big-Data Analytics $eComputing Systems and Approaches /$fby Pethuru Raj, Anupama Raman, Dhivya Nagaraj, Siddhartha Duggirala 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (443 p.) 225 1 $aComputer Communications and Networks,$x1617-7975 300 $aDescription based upon print version of record. 311 $a3-319-20743-1 320 $aIncludes bibliographical references and index. 327 $aEmerging Trends and Transformations in the IT Landscape -- High Performance Technologies for Big- and Fast-Data Analytics -- Big- and Fast-Data Analytics for High-Performance Computing -- Network Infrastructure for High-Performance Big-Data Analytics -- Storage Infrastructure for High-Performance Big-Data Analytics -- Real-Time Analytics using High-Performance Computing -- High-Performance Computing Paradigms -- In-Database Processing and In-Memory Analytics -- High-Performance Integrated Systems, Databases and Warehouses for Big- and Fast-Data Analytics -- Cluster and Grid Computing Paradigms -- High-Performance Peer-to-Peer Systems -- Visualization Dimensions for High-Performance Big-Data Analytics -- Social Media Analytics for Organization Empowerment -- Big-Data Analytics for Healthcare. 330 $aThis important and timely text/reference presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics.  Comprehensively covering a diverse range of computer systems and proven techniques for high-performance big-data analytics, the book also presents case studies, practical guidelines, and best practices for enabling decision-making toward implementing the appropriate computer systems and approaches. Topics and features: Includes case studies and learning activities throughout the book, and self-study exercises at the end of every chapter Presents detailed case studies on social media analytics for intelligent businesses, and on big data analytics in the healthcare sector Describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data Examines real-time analytics solutions, such as machine data analytics and operational analytics Introduces in-database processing and in-memory analytics techniques for data mining Discusses the use of mainframes for handling real-time big data, and the latest types of data management systems for big and fast data analytics Provides information on the use of cluster, grid and cloud computing systems for big data analytics and data-intensive processing Reviews the peer-to-peer techniques and tools, and the common information visualization techniques, used in big data analytics Software engineers, cloud professionals and big data scientists will find this book to be an informative and inspiring read, highlighting the indispensable role data analytics will play in shaping a smart future. 410 0$aComputer Communications and Networks,$x1617-7975 606 $aComputer networks 606 $aApplication software 606 $aMicroprocessors 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aComputer Appl. in Administrative Data Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/I2301X 606 $aProcessor Architectures$3https://scigraph.springernature.com/ontologies/product-market-codes/I13014 615 0$aComputer networks. 615 0$aApplication software. 615 0$aMicroprocessors. 615 14$aComputer Communication Networks. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aComputer Appl. in Administrative Data Processing. 615 24$aProcessor Architectures. 676 $a005.74023 700 $aRaj$b Pethuru$4aut$4http://id.loc.gov/vocabulary/relators/aut$0786064 702 $aRaman$b Anupama$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aNagaraj$b Dhivya$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aDuggirala$b Siddhartha$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299222303321 996 $aHigh-Performance Big-Data Analytics$92435371 997 $aUNINA