IBM Platform Computing Solutions Reference Architectures and Best Practices

IBM Platform Computing Solutions Reference Architectures and Best Practices

Released April 2014
Publisher(s): IBM Redbooks
ISBN: None

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Book description

This IBM® Redbooks® publication demonstrates and documents that the combination of IBM System x®, IBM GPFS™, 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.

Table of contents

  1. Front cover
  2. Notices
    1. Trademarks
  3. Preface
    1. Authors
    2. Now you can become a published author, too!
    3. Comments welcome
    4. Stay connected to IBM Redbooks
  4. Chapter 1. Introduction
    1. 1.1 Why IBM Platform Computing?
    2. 1.2 High performance clusters
    3. 1.3 IBM Platform HPC implementation scenario
    4. 1.4 Big Data implementation on an IBM high performance computing cluster
    5. 1.5 IBM Platform Computing solutions and products
  5. Chapter 2. High performance clusters
    1. 2.1 Cluster management
      1. 2.1.1 IBM Platform HPC
      2. 2.1.2 IBM Platform Cluster Manager Standard Edition
      3. 2.1.3 IBM Platform Cluster Manager Advanced Edition
    2. 2.2 Workload management
      1. 2.2.1 IBM Platform Load Sharing Facility
      2. 2.2.2 IBM Platform Symphony
    3. 2.3 Reference architectures
      1. 2.3.1 IBM Application Ready Solution for Abaqus
      2. 2.3.2 IBM Application Ready Solution for Accelrys
      3. 2.3.3 IBM Application Ready Solution for ANSYS
      4. 2.3.4 IBM Application Ready Solution for CLC bio
      5. 2.3.5 IBM Application Ready Solution for Gaussian
      6. 2.3.6 IBM Application Ready Solution for InfoSphere BigInsights
      7. 2.3.7 IBM Application Ready Solution for mpiBLAST
      8. 2.3.8 IBM Application Ready Solution for MSC Software
      9. 2.3.9 IBM Application Ready Solution for Schlumberger
      10. 2.3.10 IBM Application Ready Solution for Technical Computing
      11. 2.3.11 IBM System x and Cluster Solutions configurator
    4. 2.4 Workload optimized systems
      1. 2.4.1 NeXtScale System
      2. 2.4.2 iDataPlex
      3. 2.4.3 Intelligent Cluster
      4. 2.4.4 Enterprise servers
      5. 2.4.5 High volume systems
  6. Chapter 3. IBM Platform High Performance Computing implementation scenario
    1. 3.1 Application Ready Solution versus scenario-based implementation
    2. 3.2 Scenario-based implementation
      1. 3.2.1 Cluster hardware
      2. 3.2.2 Management nodes
      3. 3.2.3 Compute nodes
      4. 3.2.4 Networking
      5. 3.2.5 Cluster prerequisites
      6. 3.2.6 Cluster deployment
      7. 3.2.7 Provisioning cluster resources
      8. 3.2.8 IBM Platform HPC high availability
      9. 3.2.9 Running applications in Platform HPC
  7. Chapter 4. IBM Big Data implementation on an IBM High Performance Computing cluster
    1. 4.1 IBM high performance computing for Big Data analytics reference architectures
    2. 4.2 High performance low latency Big Data solutions stack by using PCM-SE for a Platform Symphony MapReduce cluster
      1. 4.2.1 Installing IBM Platform Cluster Manager Standard Edition
      2. 4.2.2 Installing the IBM General Parallel File System
      3. 4.2.3 GPFS open source portability layer
      4. 4.2.4 Configuring GPFS on the cluster initial nodes
      5. 4.2.5 Hadoop installation process for the initial nodes
      6. 4.2.6 Installing IBM Platform Symphony
      7. 4.2.7 Building an automatic kit template
      8. 4.2.8 Adding the kit to an image profile
      9. 4.2.9 Testing a Platform Symphony MapReduce job
  8. Related publications
    1. IBM Redbooks
    2. Other publications
    3. Online resources
    4. Help from IBM
  9. Back cover

Product information

  • Title: IBM Platform Computing Solutions Reference Architectures and Best Practices
  • Author(s):
  • Release date: April 2014
  • Publisher(s): IBM Redbooks
  • ISBN: None