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1. |
Record Nr. |
UNINA9910453365703321 |
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Autore |
Molaro Cristian |
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Titolo |
DB2 11 : database for big data and analytics / / Cristian Molaro [and three others] |
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Pubbl/distr/stampa |
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Boise : , : MC Press, , [2013] |
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©2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (129 p.) |
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Disciplina |
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Soggetti |
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Database management |
Relational databases |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Front Cover ; Title Page; Copyright; Contents; About the Authors; Introduction by Surekha Parekh; DB2 11 for z/OS: Unmatched Efficiency for Big Data and Analytics by Julian Stuhler, Triton Consulting; DB2 11 for z/OS: The Database for Big Data and Analytics; Efficiency; CPU Reductions; zEC12 Exploitation; Application Compatibility; Transparent Archiving; Temporal Data Enhancements; Global Variables; Variable Arrays; Java Stored Procedure Enhancements; pureXML Enhancements; Optimizer and Query Performance Improvements; Data Sharing Performance Enhancements; Utility Enhancements |
Other Efficiency Enhancements Resilience; Extended Log Record Addressing: Current Issues; Extended Log Record Addressing: DB2 11 Enhancements; Enhanced Dynamic Schema Change; BIND/REBIND Enhancements; Security Enhancements; Other Resilience Enhancements; Business Analytics; SQL Aggregation Improvements; IBM DB2 Analytics Accelerator Enhancements; Hadoop and Big Data Support; QMF 11; Other Enhancements for Analytics Workloads; Upgrading to DB2 11; DB2 Version Prerequisites; Other Prerequisites; Upgrade Timing; Upgrade Process and Impact; DB2 11 Customer Case Studies; BMW Group |
Stadtwerke Bielefeld GmbHJN Data; Improved Query Performance in DB2 11 for z/OS by Terry Purcell; Predicate Indexability; Duplicate |
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Removal; Hash Join and Sparse Index; Page Range Screening and Indexing for Partitioned Table Spaces; RUNSTATS Enhancements; Additional Performance Improvements; Summary; IBM DB2 Utilities and Tools with DB2 11 for z/OS by Haakon Roberts; How DB2 for z/OS Can Help Reduce Total Cost of Ownership by Cristian Molaro; Business Needs and DB2 TCO; DB2 and TCO; Reducing TCO Through Synergy with System z; DB2 Synergy with System z; Reducing TCO Through CPU Savings |
DB2 10 CPU Savings and Performance Improvements DB2 10 Performance Expectations; DB2 11 CPU Savings and Performance Improvements; DB2 11 Performance Expectations; Specialty Engines; DB2 10 and Specialty Engines; DB2 11 and Specialty Engines; Estimating zIIP Savings; Special Considerations for High zIIP Utilization; DB2 and zAAP on zIIP; Reducing TCO with Better Performance; Identifying Better Performance Opportunities; Getting Better Performance with REBIND; DB2 Plan Management; DB2 11 APREUSE(WARN) Enhancement; DB2 11 RELEASE(DEALLOCATE) Optimization |
DB2 11 Application Compatibility and APPLCOMPAT Case Study: Performance Benefits of REBIND; DB2 EXPLAIN At a Glance; DB2 10 High-Performance DBATs; Reducing TCO Through Storage Savings; DB2 Data Compression; DB2 Managed Disk Space Allocation; Case Study: Combined Effects of Data Compression and DB2 Managed Disk Space Allocation; Index Compression; Reducing TCO with Faster Analytics; IBM DB2 Analytics Accelerators; Leverage Legacy QMF Objects; Reducing TCO with Improved Scalability; DB2 10 Throughput Enhancements; DB2 Storage and Scalability; Data Sharing Member Consolidations; Conclusion |
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Sommario/riassunto |
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<P style=""MARGIN: 0in 0in 0pt; tab-stops: 246.0pt"" class=MsoNormal>The landscape of today's business is shaped by the mountains of data being produced, with rapid growth in the volume, variety, and velocity of data due to the explosion of smart devices, mobile applications, cloud computing, and social media. Much of this growth has been in unstructured data; however, by 2020, internet business transactions-business-to-business and business-to-consumer-are predicted to reach 450 billion per day. Smart organizations are seeking innovative ways to turn this explosion of data, called big data, i |
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2. |
Record Nr. |
UNINA9910755075203321 |
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Autore |
Dostál Zdeněk |
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Titolo |
Scalable Algorithms for Contact Problems / / by Zdeněk Dostál, Tomáš Kozubek, Marie Sadowská, Vít Vondrák |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[2nd ed. 2023.] |
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Descrizione fisica |
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1 online resource (447 pages) |
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Collana |
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Advances in Mechanics and Mathematics, , 1876-9896 ; ; 36 |
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Altri autori (Persone) |
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KozubekTomás |
SadowskáMarie |
VondrákVít |
BrzobohatýTomás |
HorakDavid |
ŘíhaLubomír |
VlachOldrich |
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Disciplina |
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Soggetti |
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Mathematics - Data processing |
Engineering mathematics |
Engineering - Data processing |
Computer science - Mathematics |
Computational Mathematics and Numerical Analysis |
Mathematical and Computational Engineering Applications |
Mathematics of Computing |
Mecànica |
Matemàtica |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter. 1 Contact Problems and Their Solution -- Part. I. Basic Concepts -- Chapter. 2. Linear Algebra -- Chapter. 3. Optimization -- Chapter. 4. Analysis -- Part. II. Optimal QP and QCQP Algorithms -- Chapter. 5. Conjugate Gradients -- Chapter. 6. Gradient Projection for Separable Convex Sets -- Chapter. 7. MPGP for Separable QCQP -- Chapter. 8. MPRGP for Bound-Constrained QP -- Chapter. 9. Solvers for |
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Separable and Equality QP/QCQP Problems -- Part. III. Scalable Algorithms for Contact Problems -- Chapter. 10. TFETI for Scalar Problems -- Chapter. 11. Frictionless Contact Problems -- Chapter. 12. Contact Problems with Friction -- Chapter. 13. Transient Contact Problems -- Chapter. 14. TBETI -- Chapter. 15. Hybrid TFETI and TBETI -- Chapter. 16. Mortars -- Chapter. 17. Preconditioning and Scaling -- Part. IV. Other Applications and Parallel Implementation -- Chapter. 18. Contact with Plasticity -- Chapter.19. Contact Shape Optimization -- Chapter. 20. Massively Parallel Implementation -- Notation and List of Symbols. |
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Sommario/riassunto |
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This book presents a comprehensive treatment of recently developed scalable algorithms for solving multibody contact problems of linear elasticity. The brand-new feature of these algorithms is their theoretically supported numerical scalability (i.e., asymptotically linear complexity) and parallel scalability demonstrated in solving problems discretized by billions of degrees of freedom. The theory covers solving multibody frictionless contact problems, contact problems with possibly orthotropic Tresca’s friction, and transient contact problems. In addition, it also covers BEM discretization, treating jumping coefficients, floating bodies, mortar non-penetration conditions, etc. This second edition includes updated content, including a new chapter on hybrid domain decomposition methods for huge contact problems. Furthermore, new sections describe the latest algorithm improvements, e.g., the fast reconstruction of displacements, the adaptive reorthogonalization of dual constraints, and an updated chapter on parallel implementation. Several chapters are extended to give an independent exposition of classical bounds on the spectrum of mass and dual stiffness matrices, a benchmark for Coulomb orthotropic friction, details of discretization, etc. The exposition is divided into four parts, the first of which reviews auxiliary linear algebra, optimization, and analysis. The most important algorithms and optimality results are presented in the third chapter. The presentation includes continuous formulation, discretization, domain decomposition, optimality results, and numerical experiments. The final part contains extensions to contact shape optimization, plasticity, and HPC implementation. Graduate students and researchers in mechanical engineering, computational engineering, and applied mathematics will find this book of great value and interest. |
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