Networking Design For Hpc And Ai On Ibm Power Systems

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Networking Design for HPC and AI on IBM Power Systems

Author : Scott Vetter,Tobias Elpelt,Rico Franke,Yanil Zeledón Miranda,IBM Redbooks
Publisher : IBM Redbooks
Page : 62 pages
File Size : 49,6 Mb
Release : 2018-04-26
Category : Computers
ISBN : 9780738456836

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Networking Design for HPC and AI on IBM Power Systems by Scott Vetter,Tobias Elpelt,Rico Franke,Yanil Zeledón Miranda,IBM Redbooks Pdf

This publication provides information about networking design for IBM® High Performance Computing (HPC) and AI for Power SystemsTM. This paper will help you understand the basic requirements when designing a solution, the components in an infrastructure for HPC and AI Systems, the designing of interconnect and data networks with use cases based in real life scenarios, the administration and the Out-Of-Band management networks. We cover all the necessary requirements, provide a good understanding of the technology and include examples for small, medium and large cluster environments. This paper is intended for IT architects, system designers, data center planners, and system administrators who must design or provide a solution for the infrastructure of a HPC cluster.

Networking Design for HPC and AI on IBM Power Systems

Author : Scott Vetter,Tobias Elpelt,Rico Franke,Yanil Miranda
Publisher : Unknown
Page : 62 pages
File Size : 40,7 Mb
Release : 2018
Category : Electronic
ISBN : OCLC:1125077012

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Networking Design for HPC and AI on IBM Power Systems by Scott Vetter,Tobias Elpelt,Rico Franke,Yanil Miranda Pdf

This publication provides information about networking design for IBM® High Performance Computing (HPC) and AI for Power SystemsTM. This paper will help you understand the basic requirements when designing a solution, the components in an infrastructure for HPC and AI Systems, the designing of interconnect and data networks with use cases based in real life scenarios, the administration and the Out-Of-Band management networks. We cover all the necessary requirements, provide a good understanding of the technology and include examples for small, medium and large cluster environments. This paper is intended for IT architects, system designers, data center planners, and system administrators who must design or provide a solution for the infrastructure of a HPC cluster.

IBM Power System IC922 Technical Overview and Introduction

Author : Scott Vetter,YoungHoon Cho,Stephen Lutz,IBM Redbooks
Publisher : IBM Redbooks
Page : 78 pages
File Size : 42,6 Mb
Release : 2021-05-20
Category : Computers
ISBN : 9780738458557

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IBM Power System IC922 Technical Overview and Introduction by Scott Vetter,YoungHoon Cho,Stephen Lutz,IBM Redbooks Pdf

This IBM® Redpaper publication is a comprehensive guide that covers the IBM Power System IC922 (9183-22X) server that uses IBM POWER9TM processor-based technology and supports Linux operating systems (OSs). The objective of this paper is to introduce the system offerings and their capacities and available features. The Power IC922 server is built to deliver powerful computing, scaling efficiency, and storage capacity in a cost-optimized design to meet the evolving data challenges of the artificial intelligence (AI) era. It includes the following features: High throughput and performance for high-value Linux workloads, such as inferencing data or storage-rich workloads, or cloud. Potentially low acquisition cost through system optimization, such as using industry standard memory and warranty. Two IBM POWER9 processor-based single-chip module (SCM) devices that provide high performance with 24, 32, or 40 fully activated cores and a maximum 2 TB of memory. Up to six NVIDIA T4 graphics processing unit (GPU) accelerators. Up to twenty-four 2.5-inch SAS/SATA drives. One dedicated and one shared 1 Gb Intelligent Platform Management Interface (IPMI) port.. This publication is for professionals who want to acquire a better understanding of IBM Power Systems products. The intended audience includes: Clients Sales and marketing professionals Technical support professionals IBM Business Partners Independent software vendors (ISVs) This paper expands the current set of IBM Power Systems documentation by providing a desktop reference that offers a detailed technical description of the Power IC922 server.

IBM b-type Data Center Networking: Design and Best Practices Introduction

Author : Jon Tate,Norman Bogard,Michal Holenia,Sebastian Oglaza,Steven Tong,IBM Redbooks
Publisher : IBM Redbooks
Page : 614 pages
File Size : 41,9 Mb
Release : 2010-12-30
Category : Computers
ISBN : 9780738435015

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IBM b-type Data Center Networking: Design and Best Practices Introduction by Jon Tate,Norman Bogard,Michal Holenia,Sebastian Oglaza,Steven Tong,IBM Redbooks Pdf

As organizations drive to transform and virtualize their IT infrastructures to reduce costs, and manage risk, networking is pivotal to success. Optimizing network performance, availability, adaptability, security, and cost is essential to achieving the maximum benefit from your infrastructure. In this IBM® Redbooks® publication, we address these requirements: Expertise to plan and design networks with holistic consideration of servers, storage, application performance, and manageability Networking solutions that enable investment protection with performance and cost options that match your environment Technology and expertise to design and implement and manage network security and resiliency Robust network management software for integrated, simplified management that lowers operating costs of complex networks IBM and Brocade have entered into an agreement to provide expanded network technology choices with the new IBM b-type Ethernet Switches and Routers, to provide an integrated end-to-end resiliency and security framework. Combined with the IBM vast data center design experience and the Brocade networking expertise, this portfolio represents the ideal convergence of strength and intelligence. For organizations striving to transform and virtualize their IT infrastructure, such a combination can help you reduce costs, manage risks, and prepare for the future. This book is meant to be used along with "IBM b-type Data Center Networking: Product Introduction and Initial Setup," SG24-7785.

IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers

Author : Dino Quintero,Bing He,Bruno C. Faria,Alfonso Jara,Chris Parsons,Shota Tsukamoto,Richard Wale,IBM Redbooks
Publisher : IBM Redbooks
Page : 278 pages
File Size : 43,9 Mb
Release : 2019-06-05
Category : Computers
ISBN : 9780738442945

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IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers by Dino Quintero,Bing He,Bruno C. Faria,Alfonso Jara,Chris Parsons,Shota Tsukamoto,Richard Wale,IBM Redbooks Pdf

This IBM® Redbooks® publication is a guide about the IBM PowerAI Deep Learning solution. This book provides an introduction to artificial intelligence (AI) and deep learning (DL), IBM PowerAI, and components of IBM PowerAI, deploying IBM PowerAI, guidelines for working with data and creating models, an introduction to IBM SpectrumTM Conductor Deep Learning Impact (DLI), and case scenarios. IBM PowerAI started as a package of software distributions of many of the major DL software frameworks for model training, such as TensorFlow, Caffe, Torch, Theano, and the associated libraries, such as CUDA Deep Neural Network (cuDNN). The IBM PowerAI software is optimized for performance by using the IBM Power SystemsTM servers that are integrated with NVLink. The AI stack foundation starts with servers with accelerators. graphical processing unit (GPU) accelerators are well-suited for the compute-intensive nature of DL training, and servers with the highest CPU to GPU bandwidth, such as IBM Power Systems servers, enable the high-performance data transfer that is required for larger and more complex DL models. This publication targets technical readers, including developers, IT specialists, systems architects, brand specialist, sales team, and anyone looking for a guide about how to understand the IBM PowerAI Deep Learning architecture, framework configuration, application and workload configuration, and user infrastructure.

Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI

Author : Jeffrey Nichols,Becky Verastegui,Arthur ‘Barney’ Maccabe,Oscar Hernandez,Suzanne Parete-Koon,Theresa Ahearn
Publisher : Springer Nature
Page : 555 pages
File Size : 47,8 Mb
Release : 2020-12-22
Category : Computers
ISBN : 9783030633936

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Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI by Jeffrey Nichols,Becky Verastegui,Arthur ‘Barney’ Maccabe,Oscar Hernandez,Suzanne Parete-Koon,Theresa Ahearn Pdf

This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.

AI and Big Data on IBM Power Systems Servers

Author : Scott Vetter,Ivaylo B. Bozhinov,Anto A John,Rafael Freitas de Lima,Ahmed.(Mash) Mashhour,James Van Oosten,Fernando Vermelho,Allison White,IBM Redbooks
Publisher : IBM Redbooks
Page : 162 pages
File Size : 42,8 Mb
Release : 2019-04-10
Category : Computers
ISBN : 9780738457512

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AI and Big Data on IBM Power Systems Servers by Scott Vetter,Ivaylo B. Bozhinov,Anto A John,Rafael Freitas de Lima,Ahmed.(Mash) Mashhour,James Van Oosten,Fernando Vermelho,Allison White,IBM Redbooks Pdf

As big data becomes more ubiquitous, businesses are wondering how they can best leverage it to gain insight into their most important business questions. Using machine learning (ML) and deep learning (DL) in big data environments can identify historical patterns and build artificial intelligence (AI) models that can help businesses to improve customer experience, add services and offerings, identify new revenue streams or lines of business (LOBs), and optimize business or manufacturing operations. The power of AI for predictive analytics is being harnessed across all industries, so it is important that businesses familiarize themselves with all of the tools and techniques that are available for integration with their data lake environments. In this IBM® Redbooks® publication, we cover the best practices for deploying and integrating some of the best AI solutions on the market, including: IBM Watson Machine Learning Accelerator (see note for product naming) IBM Watson Studio Local IBM Power SystemsTM IBM SpectrumTM Scale IBM Data Science Experience (IBM DSX) IBM Elastic StorageTM Server Hortonworks Data Platform (HDP) Hortonworks DataFlow (HDF) H2O Driverless AI We map out all the integrations that are possible with our different AI solutions and how they can integrate with your existing or new data lake. We also walk you through some of our client use cases and show you how some of the industry leaders are using Hortonworks, IBM PowerAI, and IBM Watson Studio Local to drive decision making. We also advise you on your deployment options, when to use a GPU, and why you should use the IBM Elastic Storage Server (IBM ESS) to improve storage management. Lastly, we describe how to integrate IBM Watson Machine Learning Accelerator and Hortonworks with or without IBM Watson Studio Local, how to access real-time data, and security. Note: IBM Watson Machine Learning Accelerator is the new product name for IBM PowerAI Enterprise. Note: Hortonworks merged with Cloudera in January 2019. The new company is called Cloudera. References to Hortonworks as a business entity in this publication are now referring to the merged company. Product names beginning with Hortonworks continue to be marketed and sold under their original names.

IBM High-Performance Computing Insights with IBM Power System AC922 Clustered Solution

Author : Dino Quintero,Miguel Gomez Gonzalez,Ahmad Y Hussein,Jan-Frode Myklebust,IBM Redbooks
Publisher : IBM Redbooks
Page : 352 pages
File Size : 48,5 Mb
Release : 2019-05-02
Category : Computers
ISBN : 9780738457451

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IBM High-Performance Computing Insights with IBM Power System AC922 Clustered Solution by Dino Quintero,Miguel Gomez Gonzalez,Ahmad Y Hussein,Jan-Frode Myklebust,IBM Redbooks Pdf

This IBM® Redbooks® publication documents and addresses topics to set up a complete infrastructure environment and tune the applications to use an IBM POWER9TM hardware architecture with the technical computing software stack. This publication is driven by a CORAL project solution. It explores, tests, and documents how to implement an IBM High-Performance Computing (HPC) solution on a POWER9 processor-based system by using IBM technical innovations to help solve challenging scientific, technical, and business problems. This book documents the HPC clustering solution with InfiniBand on IBM Power SystemsTM AC922 8335-GTH and 8335-GTX servers with NVIDIA Tesla V100 SXM2 graphics processing units (GPUs) with NVLink, software components, and the IBM SpectrumTM Scale parallel file system. This solution includes recommendations about the components that are used to provide a cohesive clustering environment that includes job scheduling, parallel application tools, scalable file systems, administration tools, and a high-speed interconnect. This book is divided into three parts: Part 1 focuses on the planners of the solution, Part 2 focuses on the administrators, and Part 3 focuses on the developers. This book targets technical professionals (consultants, technical support staff, IT architects, and IT specialists) who are responsible for delivering cost-effective HPC solutions that help uncover insights among clients' data so that they can act to optimize business results, product development, and scientific discoveries.

IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences

Author : Dino Quintero,Frank N. Lee,IBM Redbooks
Publisher : IBM Redbooks
Page : 88 pages
File Size : 47,5 Mb
Release : 2019-09-08
Category : Computers
ISBN : 9780738456904

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IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences by Dino Quintero,Frank N. Lee,IBM Redbooks Pdf

This IBM® Redpaper publication provides an update to the original description of IBM Reference Architecture for Genomics. This paper expands the reference architecture to cover all of the major vertical areas of healthcare and life sciences industries, such as genomics, imaging, and clinical and translational research. The architecture was renamed IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences to reflect the fact that it incorporates key building blocks for high-performance computing (HPC) and software-defined storage, and that it supports an expanding infrastructure of leading industry partners, platforms, and frameworks. The reference architecture defines a highly flexible, scalable, and cost-effective platform for accessing, managing, storing, sharing, integrating, and analyzing big data, which can be deployed on-premises, in the cloud, or as a hybrid of the two. IT organizations can use the reference architecture as a high-level guide for overcoming data management challenges and processing bottlenecks that are frequently encountered in personalized healthcare initiatives, and in compute-intensive and data-intensive biomedical workloads. This reference architecture also provides a framework and context for modern healthcare and life sciences institutions to adopt cutting-edge technologies, such as cognitive life sciences solutions, machine learning and deep learning, Spark for analytics, and cloud computing. To illustrate these points, this paper includes case studies describing how clients and IBM Business Partners alike used the reference architecture in the deployments of demanding infrastructures for precision medicine. This publication targets technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing life sciences solutions and support.

Red Hat OpenShift V4.3 on IBM Power Systems Reference Guide

Author : Dino Quintero,Daniel Casali,Alain Fisher,Federico Fros,Miguel Gomez Gonzalez,Felix Gonzalez,Paulo Sergio Lemes Queiroz,Sudipto Pal,Bogdan Savu,Richard Wale,IBM Redbooks
Publisher : IBM Redbooks
Page : 128 pages
File Size : 48,8 Mb
Release : 2020-09-10
Category : Computers
ISBN : 9780738459073

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Red Hat OpenShift V4.3 on IBM Power Systems Reference Guide by Dino Quintero,Daniel Casali,Alain Fisher,Federico Fros,Miguel Gomez Gonzalez,Felix Gonzalez,Paulo Sergio Lemes Queiroz,Sudipto Pal,Bogdan Savu,Richard Wale,IBM Redbooks Pdf

This IBM® Redpaper publication describes how to deploy Red Hat OpenShift V4.3 on IBM Power Systems servers. This book presents reference architectures for deployment, initial sizing guidelines for server, storage, and IBM Cloud® Paks. Moreover, this publication delivers information about initial supported Power System configurations for Red Hat OpenShift V4.3 deployment (bare metal, IBM PowerVM® LE LPARs, and others). This book serves as a guide for how to deploy Red Hat OpenShift V4.3 and provide start guidelines and recommended practices for implementing it on Power Systems and completing it with the supported IBM Cloud Paks. The publication addresses topics for developers, IT architects, IT specialists, sellers, and anyone who wants to implement a Red Hat OpenShift V4.3 and IBM Cloud Paks on IBM Power Systems. This book also provides technical content to transfer how-to skills to the support teams, and solution guidance to the sales team. This book compliments the documentation that is available at IBM Knowledge Center, and also aligns with the educational offerings that are provided by the IBM Systems Technical Education (SSE).

Deep Learning Networks

Author : Jayakumar Singaram,S. S. Iyengar,Azad M. Madni
Publisher : Springer Nature
Page : 173 pages
File Size : 42,6 Mb
Release : 2023-12-03
Category : Technology & Engineering
ISBN : 9783031392443

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Deep Learning Networks by Jayakumar Singaram,S. S. Iyengar,Azad M. Madni Pdf

This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems.

Space Information Networks

Author : Quan Yu
Publisher : Springer Nature
Page : 296 pages
File Size : 43,9 Mb
Release : 2020-02-19
Category : Computers
ISBN : 9789811534423

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Space Information Networks by Quan Yu Pdf

This book constitutes the proceedings of the 4th International Conference on Space Information Networks, SINC 2019, held in Wuzhen, China, in September 2019. The 16 full and 7 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers are organized in topical sections on architecture and efficient networking mechanism; theories and methods of high speed transmission.

Implementing an IBM High-Performance Computing Solution on IBM Power System S822LC

Author : Dino Quintero,Luis Carlos Cruz Huertas,Tsuyoshi Kamenoue,Wainer dos Santos Moschetta,Mauricio Faria de Oliveira,Georgy E Pavlov,Alexander Pozdneev,IBM Redbooks
Publisher : IBM Redbooks
Page : 342 pages
File Size : 46,9 Mb
Release : 2016-07-25
Category : Computers
ISBN : 9780738441870

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Implementing an IBM High-Performance Computing Solution on IBM Power System S822LC by Dino Quintero,Luis Carlos Cruz Huertas,Tsuyoshi Kamenoue,Wainer dos Santos Moschetta,Mauricio Faria de Oliveira,Georgy E Pavlov,Alexander Pozdneev,IBM Redbooks Pdf

This IBM® Redbooks® publication demonstrates and documents that IBM Power SystemsTM high-performance computing and technical computing solutions deliver faster time to value with powerful solutions. Configurable into highly scalable Linux clusters, Power Systems offer extreme performance for demanding workloads such as genomics, finance, computational chemistry, oil and gas exploration, and high-performance data analytics. This book delivers a high-performance computing solution implemented on the IBM Power System S822LC. The solution delivers high application performance and throughput based on its built-for-big-data architecture that incorporates IBM POWER8® processors, tightly coupled Field Programmable Gate Arrays (FPGAs) and accelerators, and faster I/O by using Coherent Accelerator Processor Interface (CAPI). This solution is ideal for clients that need more processing power while simultaneously increasing workload density and reducing datacenter floor space requirements. The Power S822LC offers a modular design to scale from a single rack to hundreds, simplicity of ordering, and a strong innovation roadmap for graphics processing units (GPUs). This publication is targeted toward technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) responsible for delivering cost effective high-performance computing (HPC) solutions that help uncover insights from their data so they can optimize business results, product development, and scientific discoveries

IBM Power System AC922 Introduction and Technical Overview

Author : Scott Vetter,Alexandre Bicas Caldeira,IBM Redbooks
Publisher : IBM Redbooks
Page : 74 pages
File Size : 48,9 Mb
Release : 2018-03-26
Category : Computers
ISBN : 9780738456706

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IBM Power System AC922 Introduction and Technical Overview by Scott Vetter,Alexandre Bicas Caldeira,IBM Redbooks Pdf

This IBM® RedpaperTM publication is a comprehensive guide that covers the IBM Power System AC922 server (8335-GTG and 8335-GTW models). The Power AC922 server is the next generation of the IBM Power processor-based systems, which are designed for deep learning and artificial intelligence (AI), high-performance analytics, and high-performance computing (HPC). This paper introduces the major innovative Power AC922 server features and their relevant functions: Powerful IBM POWER9TM processors that offer 16 cores at 2.6 GHz with 3.09 GHz turbo performance or 20 cores at 2.0 GHz with 2.87 GHz turbo for the 8335-GTG Eighteen cores at 2.98 GHz with 3.26 GHz turbo performance or 22 at 2.78 GHz cores with 3.07 GHz turbo for the 8335-GTW IBM Coherent Accelerator Processor Interface (CAPI) 2.0, IBM OpenCAPITM, and second-generation NVIDIA NVLink technology for exceptional processor-to-accelerator intercommunication Up to six dedicated NVIDIA Tesla V100 GPUs This publication is for professionals who want to acquire a better understanding of IBM Power SystemsTM products and is intended for the following audiences: Clients Sales and marketing professionals Technical support professionals IBM Business Partners Independent software vendors (ISVs) This paper expands the set of IBM Power Systems documentation by providing a desktop reference that offers a detailed technical description of the Power AC922 server. This paper does not replace the current marketing materials and configuration tools. It is intended as an extra source of information that, together with existing sources, can be used to enhance your knowledge of IBM server solutions.

IBM Platform Computing Solutions Reference Architectures and Best Practices

Author : Dino Quintero,Luis Carlos Cruz,Ricardo Machado Picone,Dusan Smolej,Daniel de Souza Casali,Gheorghe Tudor,Joanna Wong,IBM Redbooks
Publisher : IBM Redbooks
Page : 202 pages
File Size : 47,6 Mb
Release : 2014-09-30
Category : Computers
ISBN : 9780738439471

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IBM Platform Computing Solutions Reference Architectures and Best Practices by Dino Quintero,Luis Carlos Cruz,Ricardo Machado Picone,Dusan Smolej,Daniel de Souza Casali,Gheorghe Tudor,Joanna Wong,IBM Redbooks Pdf

This IBM® Redbooks® publication demonstrates and documents that the combination of IBM System x®, IBM GPFSTM, IBM GPFS-FPO, IBM Platform Symphony®, IBM Platform HPC, IBM Platform LSF®, IBM Platform Cluster Manager Standard Edition, and IBM Platform Cluster Manager Advanced Edition deliver significant value to clients in need of cost-effective, highly scalable, and robust solutions. IBM depth of solutions can help the clients plan a foundation to face challenges in how to manage, maintain, enhance, and provision computing environments to, for example, analyze the growing volumes of data within their organizations. This IBM Redbooks publication addresses topics to educate, reiterate, confirm, and strengthen the widely held opinion of IBM Platform Computing as the systems software platform of choice within an IBM System x environment for deploying and managing environments that help clients solve challenging technical and business problems. This IBM Redbooks publication addresses topics to that help answer customer's complex challenge requirements to manage, maintain, and analyze the growing volumes of data within their organizations and provide expert-level documentation to transfer the how-to-skills to the worldwide support teams. This IBM Redbooks publication is targeted toward technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for delivering cost-effective computing solutions that help optimize business results, product development, and scientific discoveries.