IBM Reference Architecture for Genomics, Power Systems Edition

IBM Reference Architecture for Genomics, Power Systems Edition
Author :
Publisher : IBM Redbooks
Total Pages : 140
Release :
ISBN-10 : 9780738441634
ISBN-13 : 0738441635
Rating : 4/5 (34 Downloads)

Book Synopsis IBM Reference Architecture for Genomics, Power Systems Edition by : Dino Quintero

Download or read book IBM Reference Architecture for Genomics, Power Systems Edition written by Dino Quintero and published by IBM Redbooks. This book was released on 2016-04-05 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication introduces the IBM Reference Architecture for Genomics, IBM Power SystemsTM edition on IBM POWER8®. It addresses topics such as why you would implement Life Sciences workloads on IBM POWER8, and shows how to use such solution to run Life Sciences workloads using IBM PlatformTM Computing software to help set up the workloads. It also provides technical content to introduce the IBM POWER8 clustered solution for Life Sciences workloads. This book customizes and tests Life Sciences workloads with a combination of an IBM Platform Computing software solution stack, Open Stack, and third party applications. All of these applications use IBM POWER8, and IBM Spectrum ScaleTM for a high performance file system. This book helps strengthen IBM Life Sciences solutions on IBM POWER8 with a well-defined and documented deployment model within an IBM Platform Computing and an IBM POWER8 clustered environment. This system provides clients in need of a modular, cost-effective, and robust solution with a planned foundation for future growth. This book highlights IBM POWER8 as a flexible infrastructure for clients looking to deploy life sciences workloads, and at the same time reduce capital expenditures, operational expenditures, and optimization of resources. This book helps answer clients' workload challenges in particular with Life Sciences applications, and provides expert-level documentation and how-to-skills to worldwide teams that provide Life Sciences solutions and support to give a broad understanding of a new architecture.


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