IBM Reference Architecture for Genomics, Power Systems Edition IBM Reference Architecture for Genomics, Power Systems Edition

IBM Reference Architecture for Genomics, Power Systems Edition

Dino Quintero その他

発行者による作品情報

This IBM® Redbooks® publication introduces the IBM Reference Architecture for Genomics, IBM Power Systems™ 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 Platform™ 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 Scale™ 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.

ジャンル
コンピュータ/インターネット
発売日
2016年
4月5日
言語
EN
英語
ページ数
140
ページ
発行者
IBM Redbooks
販売元
International Business Machines Corp
サイズ
4.6
MB
IBM Data Engine for Hadoop and Spark IBM Data Engine for Hadoop and Spark
2016年
AI and Big Data on IBM Power Systems Servers AI and Big Data on IBM Power Systems Servers
2019年
IBM Software Defined Infrastructure for Big Data Analytics Workloads IBM Software Defined Infrastructure for Big Data Analytics Workloads
2015年
IBM Platform Computing Solutions for High Performance and Technical Computing Workloads IBM Platform Computing Solutions for High Performance and Technical Computing Workloads
2015年
Deployment and Usage Guide for Running AI Workloads on Red Hat OpenShift and NVIDIA DGX Systems with IBM Spectrum Scale Deployment and Usage Guide for Running AI Workloads on Red Hat OpenShift and NVIDIA DGX Systems with IBM Spectrum Scale
2020年
Apache Spark Implementation on IBM z/OS Apache Spark Implementation on IBM z/OS
2016年
IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers
2019年
IBM Spectrum Scale (formerly GPFS) IBM Spectrum Scale (formerly GPFS)
2017年
Implementing IBM Spectrum Scale Implementing IBM Spectrum Scale
2015年
SAP HANA Platform Migration SAP HANA Platform Migration
2020年
IBM Data Engine for Hadoop and Spark IBM Data Engine for Hadoop and Spark
2016年
Software Defined Data Center with Red Hat Cloud and Open Source IT Operations Management Software Defined Data Center with Red Hat Cloud and Open Source IT Operations Management
2020年