Workload Optimized Systems Tuning Power7 For Analytics


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Workload Optimized Systems: Tuning POWER7 for Analytics


Workload Optimized Systems: Tuning POWER7 for Analytics

Author: Dino Quintero

language: en

Publisher: IBM Redbooks

Release Date: 2013-04-14


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This IBM® Redbooks® publication addresses topics to help clients to take advantage of the virtualization strengths of the POWER® platform to solve system resource utilization challenges and maximize system throughput and capacity. This publication examines the tools, utilities, documentation, and other resources available to help technical teams provide business solutions and support for Cognos® Business Intelligence (BI) and Statistical Package for the Social Sciences (SPSS®) on Power SystemsTM virtualized environments. This book addresses topics to help address complex high availability requirements, help maximize the availability of systems, and provide expert-level documentation to the worldwide support teams. This book strengthens the position of the Cognos and SPSS solutions with a well-defined and documented deployment model within a POWER system virtualized environment. This model provides clients with a planned foundation for security, scaling, capacity, resilience, and optimization. This book is targeted toward technical professionals (BI consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing Smart Analytics solutions and support for Cognos and SPSS on Power Systems.

Workload Optimized Systems


Workload Optimized Systems

Author:

language: en

Publisher:

Release Date: 2012


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Proceedings of International Conference on Intelligent Computing, Information and Control Systems


Proceedings of International Conference on Intelligent Computing, Information and Control Systems

Author: A. Pasumpon Pandian

language: en

Publisher: Springer Nature

Release Date: 2021-01-24


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This book is a collection of papers presented at the International Conference on Intelligent Computing, Information and Control Systems (ICICCS 2020). It encompasses various research works that help to develop and advance the next-generation intelligent computing and control systems. The book integrates the computational intelligence and intelligent control systems to provide a powerful methodology for a wide range of data analytics issues in industries and societal applications. The book also presents the new algorithms and methodologies for promoting advances in common intelligent computing and control methodologies including evolutionary computation, artificial life, virtual infrastructures, fuzzy logic, artificial immune systems, neural networks and various neuro-hybrid methodologies. This book is pragmatic for researchers, academicians and students dealing with mathematically intransigent problems.