[PDF] IBM Power System S822LC for Big Data: Technical Overview and Introduction
ISBN: 0738455776
Category: Tutorial
Posted on 2018-01-29, by luongquocchinh.
Description

Author: IBM Power System S822LC for Big Data: Technical Overview and Introduction | Category: Programming | Language: English | Page: 86 | ISBN: 0738455776 |
Description: This IBM Redpaper publication is a comprehensive guide that covers the IBM Power System S822LC for Big Data (8001-22C) server that uses the latest IBM POWER8 processor technology and supports Linux operating systems (OSs). The objective of this paper is to introduce the Power S822LC for Big Data offerings and their relevant functions as related to targeted application workloads. The new Linux scale-out systems provide differentiated performance, scalability, and low acquisition cost, including: Consolidated server footprint with up to 66% more virtual machines (VMs) per server than competitive x86 servers Superior data throughput and performance for high-value Linux workloads, such as big data, analytic, and industry applications Up to 12 LFF drives that are installed within the chassis to meet storage-rich application requirements Superior application performance due to a 2x per core performance advantage over x86-based systems Leadership data through put enabled by POWER8 multithreading with up to 4x more threads than x86 designs Acceleration of bid data workloads with up to two GPUs and superior I/O bandwidth with Coherent Accelerator Processor Interface (CAPI)

IBM Power System S822LC for Big Data: Technical Overview and Introduction.pdf
http://tezfiles.com/file/c9d7005d0f2b5
Sponsored High Speed Downloads
8958 dl's @ 3667 KB/s
Download Now [Full Version]
6130 dl's @ 2019 KB/s
Download Link 1 - Fast Download
7753 dl's @ 2005 KB/s
Download Mirror - Direct Download
Search More...
[PDF] IBM Power System S822LC for Big Data: Technical Overview and IntroductionLinks
Download this book
No active download links here?
Please check the description for download links if any or do a search to find alternative books.Related Books
- Ebooks list page : 35773
- 2018-01-29[PDF] IBM Power System S822LC for High Performance Computing Introduction and Technical Overview
- 2018-01-29[PDF] IBM Software Defined Infrastructure for Big Data Analytics Workloads
- 2018-01-29[PDF] Implementing an IBM High-Performance Computing Solution on IBM Power System S822LC
- 2018-01-30[PDF] Data Mining and Knowledge Discovery for Big Data: Methodologies, Challenge and Opportunities (Studies in Big Data) - Removed
- 2018-01-29[PDF] IBM Power System S821LC: Technical Overview and Introduction
- 2018-01-29[PDF] IBM Power System E850C Technical Overview and Introduction
- 2018-01-16[PDF] Electric Power System Basics for the Nonelectrical Professional (IEEE Press Series on Power Engineering)
- 2017-12-06[PDF] Electric Power System Basics for the Nonelectrical Professional - Removed
- 2017-11-27[PDF] Entity Information Life Cycle for Big Data: Master Data Management and Information Integration
- 2017-11-06[PDF] DB2 11: The Database for Big Data & Analytics
- 2017-10-26[PDF] IBM SPSS Modeler: Techniques for Missing Data
- 2017-04-10[PDF] Getting Started with Greenplum for Big Data Analytics
- 2017-01-05[PDF] Entity Information Life Cycle for Big Data: Master Data Management and Information Integration
- 2022-03-11Blockchain for Big Data AI, IoT and Cloud Perspectives
- 2021-08-10Data Mining and Knowledge Discovery for Big Data: Methodologies, Challenge and Opportunities (Studies in Big Data, 1) - Removed
- 2021-07-21Blockchain for Big Data AI, IoT and Cloud Perspectives
- 2018-01-29[PDF] IBM Power Systems SR-IOV Technical Overview and Introduction
- 2017-12-14[PDF] Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods
- 2017-12-01[PDF] Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy - Removed
Comments
No comments for "[PDF] IBM Power System S822LC for Big Data: Technical Overview and Introduction".
Add Your Comments
- Download links and password may be in the description section, read description carefully!
- Do a search to find mirrors if no download links or dead links.