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By: IBM UK - ISM&S Storage     Published Date: Nov 15, 2011
To maintain its position at the forefront of international research, the Institute for Computational Cosmology at Durham University wanted to develop a new high-performance computing cluster - find out how they did it.
Tags : super comupter, computations, cosmology, delivery, infrastructure, energy, green computing, performance
     IBM UK - ISM&S Storage
By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly, and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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     Pure Storage
By: Pure Storage     Published Date: Jan 12, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
Tags : data, deep learning, automated, intelligence, pure storage
     Pure Storage
By: Pure Storage     Published Date: Apr 18, 2018
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
Tags : 
     Pure Storage
By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
Tags : 
     Pure Storage
By: Schneider Electric     Published Date: May 04, 2016
This paper discusses advanced technologies and tools that enable greater pipeline integrity, particularly computational pipeline monitoring (CPM) methodologies as a means to identify anomalies that signal a possible commodity pipeline release.
Tags : pipeline integrity, oil and gas, pipelines, control room, control room management, leak detection, schneider electric, telvent
     Schneider Electric
By: Amazon Web Services     Published Date: Apr 16, 2018
Since SAP introduced its in-memory database, SAP HANA, customers have significantly accelerated everything from their core business operations to big data analytics. But capitalizing on SAP HANA’s full potential requires computational power and memory capacity beyond the capabilities of many existing data center platforms. To ensure that deployments in the AWS Cloud could meet the most stringent SAP HANA demands, AWS collaborated with SAP and Intel to deliver the Amazon EC2 X1 and X1e instances, part of the Amazon EC2 Memory-Optimized instance family. With four Intel® Xeon® E7 8880 v3 processors (which can power 128 virtual CPUs), X1 offers more memory than any other SAP-certified cloud native instance available today.
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     Amazon Web Services
By: MicroStrategy     Published Date: Jun 11, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics to and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. Furthermore, analytics are not always easy for line of b
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     MicroStrategy
By: Fujitsu America, Inc.     Published Date: Jan 22, 2019
Teachers have always experimented with new technology and how it can be integrated to augment the lessons and content given to students. Classroom sets of books afforded teachers the opportunity to give homework, movie projectors and televisions offered an opportunity to display new content, and calculators transformed computational mathematics. Augmented and virtual reality are new tools that can transition pedagogy to include new materials and content. Students can travel to historical landmarks, world heritage sites, and past events from the safety of their classroom. Books can be scanned to reveal videos and three-dimensional content identified by the teacher to enhance the content available to the student. Download this whitepaper to learn more. Intel, the Intel logo, Intel Core, Intel vPro, Core Inside and vPro Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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     Fujitsu America, Inc.
By: Pure Storage     Published Date: Dec 05, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
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     Pure Storage
By: Mentor Graphics     Published Date: Mar 10, 2010
This paper provides CIMdata's perspective on Computational Fluid Dynamics (CFD) analysis; the motivations for its use, its value and future, and the importance for making CFD available to all engineers earlier in the product design/development lifecycle.
Tags : mentor graphics, cfd, mechanical design engineer, cimdata, computational fluid dynamics, product design, development lifecycle, cad
     Mentor Graphics
By: Mentor Graphics     Published Date: Mar 10, 2010
This white paper explains the impact of the latest advances in CFD software that helps companies use CFD to improve product performance, reduce time to market, and lower engineering costs.
Tags : mentor graphics, engineering, mechanical design
     Mentor Graphics
By: Mentor Graphics     Published Date: Jun 04, 2010
The Mechanical Analysis Division of Mentor Graphics (formerly Flomerics) provides the world's most advanced computational fluid dynamics products. Our simulation software and consultancy services eliminate mistakes, reduce costs, and accelerate and optimize designs involving heat transfer and fluid flow before physical prototypes are built.
Tags : mentor graphics, fluid dynamics simulation, aerospace design, mechanical analysis, cfd
     Mentor Graphics
By: SPSS Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
Tags : spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs
     SPSS Inc.
By: IBM     Published Date: Jul 19, 2016
Data movement and management is a major pain point for organizations operating HPC environments. Whether you are deploying a single cluster, or managing a diverse research facility, you should be taking a data centric approach. As data volumes grow and the cost of compute drops, managing data consumes more of the HPC budget and computational time. The need for Data Centric HPC architectures grows dramatically as research teams pool their resources to purchase more resources and improve overall utilization. Learn more in this white paper about the key considerations when expanding from traditional compute-centric to data-centric HPC.
Tags : ibm, analytics, hpc, big data
     IBM
By: IBM     Published Date: Jul 19, 2016
IBM Platform LSF family provides a complete set of workload management capabilities for demanding, distributed HPC environments. In this video, we will learn how a genomics workflow can be managed in a multi-architecture, hybrid-cloud environment with the IBM Platform LSF family. Featuring IBM Platform Application Center and IBM Process Manager, learn how these add-on products can help to drive productivity through easy-to-use interfaces for managing complex computational workflow.
Tags : ibm, analytics, ibm platform, lsf, ibm platform application center
     IBM
By: Mentor Graphics     Published Date: Apr 12, 2016
This paper, nominated for the DesignCon 2016 Best Paper Award, analyzes the computational procedure specified for Channel Operation Margin (COM) and compares it to traditional statistical eye/BER analysis.
Tags : mentor graphics, ber, com, channel compliance
     Mentor Graphics
By: SPSS     Published Date: Jun 30, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
Tags : spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs
     SPSS
By: SPSS, Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
Tags : spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs
     SPSS, Inc.
By: Cisco     Published Date: Jan 05, 2015
The data center is central to IT strategy and houses the computational power, storage resources, and applications necessary to support an enterprise business. A flexible data center infrastructure than can support and quickly deploy new applications can result in significant competitive advantage, but designing such a data center requires solid initial planning and thoughtful consideration of port density, access-layer uplink bandwidth, true server capacity, oversubscription, mobility, and other details.
Tags : data center, consolidation, server virtualization, new applications
     Cisco
By: HP     Published Date: Sep 08, 2014
Every ten to fifteen years, the types of workloads servers host swiftly shift. This happened with the first single-mission mainframes and today, as disruptive technologies appear in the form of big data, cloud, mobility and security. When such a shift occurs, legacy servers rapidly become obsolete, dragging down enterprise productivity and agility. Fortunately, each new server shift also brings its own suite of enabling technologies, which deliver new economies of scale and entire new computational approaches. In this interview, long-time IT technologist Mel Beckman talks to HP Server CTO for ISS Americas Tim Golden about his take on the latest server shift, innovative enabling technologies such as software-defined everything, and the benefit of a unified management architecture. Tim discusses key new compute technologies such as HP Moonshot, HP BladeSystem, HP OneView and HP Apollo, as well as the superiority of open standards over proprietary architectures for scalable, cost-effect
Tags : servers, innovative, management, mobility, security, computational, technologies, mainframes
     HP
By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifi cally to work with high-powered analytics.
Tags : 
     Pure Storage
By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artificial intelligence within the Financial Services industry, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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     Pure Storage
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