it process

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By: Cray     Published Date: Aug 22, 2014
Learn how to optimize codes for faster application performance with Intel® Xeon® Phi™ coprocessor.
Tags : application performance, intel® xeon® phi™ coprocessor
     Cray
By: Cray     Published Date: Jul 02, 2015
The Cray XC series is a distributed memory system developed as part of Cray’s participation in the Defense Advanced Research Projects Agency’s (DARPA) High Productivity Computing System (HPCS) program. Previously codenamed “Cascade,” the Cray XC system is capable of sustained multi-petaflops performance and features a hybrid architecture combining multiple processor technologies, a high performance network and a high performance operating system and programming environment.
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     Cray
By: Intel     Published Date: Aug 06, 2014
Powering Big Data Workloads with Intel® Enterprise Edition for Lustre* software The Intel® portfolio for high-performance computing provides the following technology solutions: • Compute - The Intel® Xeon processor E7 family provides a leap forward for every discipline that depends on HPC, with industry-leading performance and improved performance per watt. Add Intel® Xeon Phi coprocessors to your clusters and workstations to increase performance for highly parallel applications and code segments. Each coprocessor can add over a teraflop of performance and is compatible with software written for the Intel® Xeon processor E7 family. You don’t need to rewrite code or master new development tools. • Storage - High performance, highly scalable storage solutions with Intel® Enterprise Edition for Lustre* software and Intel® Xeon Processor E7 based storage systems for centralized storage. Reliable and responsive local storage with Intel® Solid State Drives. • Networking - Intel® True Scale Fabric and Networking technologies – Built for HPC to deliver fast message rates and low latency. • Software and Tools: A broad range of software and tools to optimize and parallelize your software and clusters.
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     Intel
By: Altair     Published Date: Jul 15, 2014
NSCEE’s new workload management solution including PBS Professional has reduced overall runtimes for processing workload. Furthermore, NSCEE credits PBS Professional with improving system manageability and extensibility thanks to these key features: • Lightweight solution • Very easy to manage • Not dependent on any specific operating system • Can be easily extended by adding site-specific processing plugins/hooks To learn more click to read the full paper
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     Altair
By: IBM     Published Date: Sep 02, 2014
Whether engaged in genome sequencing, drug design, product analysis or risk management, life sciences research needs high-performance technical environments with the ability to process massive amounts of data and support increasingly sophisticated simulations and analyses. Learn how IBM solutions such as IBM® Platform Computing™ high-performance cluster, grid and high-performance computing (HPC) cloud management software can help life sciences organizations transform and integrate their compute environments to develop products better, faster and at less expense.
Tags : ibm, life sciences, platform computing
     IBM
By: IBM     Published Date: Sep 02, 2014
This two year research initiative in collaboration with IBM focuses on key trends, best practices, challenges, and priorities in enterprise risk management and covers topics as diverse as culture, organizational structure, data, systems, and processes.
Tags : ibm, chartis, rick enabled enterprise
     IBM
By: SGI     Published Date: Nov 17, 2015
In the pantheon of HPC grand challenges, weather forecasting and long-term climate simulation rank right up there with the most complex and com- putationally demanding problems in astrophysics, aeronautics, fusion power, exotic materials,and earthquake prediction, to name just a few. Modern weather prediction requires cooperation in the collection of observed data and sharing of forecasts output among all nations, a collabora- tion that has been ongoing for decades. This data is used to simulate effects on a range of scales— from events, such as the path of tornados, that change from minute to minute and move over distances measured in meters, to turnover of water layers in the ocean, a process that is measured in decades or even hundreds of years, and spans thousands of miles. The amount of data collected is staggering. Hundreds of thousands of surface stations, including airborne radiosondes, ships and buoys, aircraft, and dozens of weather satellites, are streaming terabytes of i
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     SGI
By: IBM     Published Date: Nov 14, 2014
A high performance computing (HPC) cluster refers to a group of servers built from off-the-shelf components that are connected via certain interconnect technologies. A cluster can deliver aggregated computing power from its many processors with many cores — sometimes hundreds, even thousands — to meet the processing demands of more complex engineering software, and therefore deliver results faster than individual workstations. If your company is in the majority that could benefit from access to more computing power, a cluster comprised of commodity servers may be a viable solution to consider, especially now that they’re easier to purchase, deploy, configure and maintain than ever before. Read more and learn about the '5 Easy Steps to a High Performance Cluster'.
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     IBM
By: IBM     Published Date: Feb 13, 2015
The new Clusters for Dummies, e-book from IBM Platform Computing explains how clustering technology enables you to run higher quality simulations and shorten the time to discoveries. In this e-book, you’ll discover how to: Make a cluster work for your business Create clusters using commodity components Use workload management software for reliable results Use cluster management software for simplified administration Learn from case studies of clusters in action With clustering technology you can increase your compute capacity, accelerate innovation process, shrink time to insights, and improve your productivity, all of which will lead to increased competitiveness for your business.
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     IBM
By: Dell and Intel®     Published Date: Mar 30, 2015
Dell has teamed with Intel® to create innovative solutions that can accelerate the research, diagnosis and treatment of diseases through personalized medicine. The combination of leading-edge Intel® Xeon® processors and the systems and storage expertise from Dell create a state-of-the-art data center solution that is easy to install, manage and expand as required. Labelled the Dell Genomic Data Analysis Platform (GDAP), this solution is designed to achieve fast results with maximum efficiency. The solution is architected to solve a number of customer challenges, including the perception that implementation must be large-scale in nature, compliance, security and clinician uses.
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     Dell and Intel®
By: HPE     Published Date: Jul 21, 2016
Deep learning is a method of creating artificial intelligence systems that combine computer-based multi-layer neural networks with intensive training techniques and large data sets to enable analysis and predictive decision making. A fundamental aspect of deep learning environments is that they transcend finite programmable constraints to the realm of extensible and trainable systems. Recent developments in technology and algorithms have enabled deep learning systems to not only equal but to exceed human capabilities in the pace of processing vast amounts of information
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     HPE
By: Lenovo UK     Published Date: May 13, 2019
It’s time to think bigger than incremental processing power and storage capacity upgrades. In 2019 IT modernisation offers much more, providing opportunities to closely align infrastructure with your most ambitious goals and build a future-facing foundation for success. Whatever your goals, this playbook gives you six versatile strategies that can help you plan a successful IT modernisation project, supported by examples from our industry-leading data centre portfolio.
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     Lenovo UK
By: Cisco EMEA     Published Date: Mar 26, 2019
Imagine if you could see deep into the future. And way back into the past, both at the same time. Imagine having visibility of everything that had ever happened and everything that was ever going to happen, everywhere, all at once. And then imagine processing power strong enough to make sense of all this data in every language and in every dimension. Unless you’ve achieved that digital data nirvana (and you haven’t told the rest of us), you’re going to have some unknowns in your world. In the world of security, unknown threats exist outside the enterprise in the form of malicious actors, state-sponsored attacks and malware that moves fast and destroys everything it touches. The unknown exists inside the enterprise in the form of insider threat from rogue employees or careless contractors – which was deemed by 24% of our survey respondents to pose the most serious risk to their organizations. The unknown exists in the form of new devices, new cloud applications, and new data. The unk
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     Cisco EMEA
By: TIBCO Software     Published Date: Mar 15, 2019
On-demand Webinar The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Speakers:
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     TIBCO Software
By: Instructure     Published Date: May 17, 2019
At Bridge, we know that a big problem facing sales leaders is not being able to onboard or train reps quickly enough to reach targets. In fact, it takes 50% of new reps 6 to 10 months to contribute to quotas. This guide is for sales leaders looking to elevate their teams and realise faster, more effective onboarding from 'Day One'. It helps at every step in the onboarding process, from hiring to providing reps with continuous learning.
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     Instructure
By: Nice Systems     Published Date: Feb 26, 2019
NICE has made a significant investment into AI and ML techniques that are embedded into its core workforce management solution, NICE WFM. Recent advancements include learning models that find hidden patterns in the historical data used to generate forecasts for volume and work time. NICE WFM also has an AI tool that determines, from a series of more than 40 models, which single model will produce the best results for each work type being forecasted. NICE has also included machine learning in its scheduling processes which are discussed at length in the white paper.
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     Nice Systems
By: 3D Systems     Published Date: May 14, 2019
For more than two centuries, industrial factory production has excelled in four key aspects: repeatability of the process, durability of parts produced, productivity of the workflow, and an economical total cost of operation. Factory workflows have been optimized to produce the best possible parts in volume, as inexpensively as possible. Any new production method or workflow process that hopes to be accepted alongside this standard process must meet or improve on these time-tested elements. To learn more, download this whitepaper today.
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     3D Systems
By: 3D Systems     Published Date: May 24, 2019
Per più di due secoli la produzione industriale in fabbrica si è distinta in quattro aspetti chiave: ripetibilità del processo, durata delle parti prodotte, produttività nel flusso di lavoro e un costo totale operativo ridotto. I flussi di lavoro in fabbrica sono stati ottimizzati per produrre le parti migliori in grande quantità e nel modo più economico possibile. Qualsiasi nuovo metodo di produzione o processo del flusso di lavoro che si proponga di affiancarsi a questo processo standard deve soddisfare o altrimenti migliorare questi elementi, che sentono ormai il peso del tempo.
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     3D Systems
By: ServiceNow     Published Date: May 14, 2019
IT asset data that is complete, current across its lifecycle, accurate, and useful is required for running IT as a business. This is only possible when all the disparate data sources are brought together for a unified understanding on a single, rationalized basis. See the changing role of ITAM policy, process, technology, function, and its impact to your business with this white paper.
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     ServiceNow
By: ServiceNow     Published Date: May 14, 2019
It’s nearly impossible to effectively manage software assets without first normalizing disparate software discovery data. This best practice guide will help you get the most out of software normalization process and showcase the benefits realized during software publisher audits and renewal discussions.
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     ServiceNow
By: Larsen & Toubro Infotech(LTI)     Published Date: Apr 10, 2019
This LTI Point of View explores how ‘Digital’ is a key enabler for enterprise transformation, and the change in thinking and culture, is it’s real driver. To compete in today's tough marketplace, organizations need a strong digital core. It highlights the fact that an effective digital transformation is built on people, processes, hardware, and software. And true transformation occurs when these elements can be intelligently harnessed in real-time.
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     Larsen & Toubro Infotech(LTI)
By: Larsen & Toubro Infotech(LTI)     Published Date: May 21, 2019
Leading multinational corporation and technology company wanted to simplify, streamline and automate their highly complex & business-critical processes, and improve SLA compliance. LTI provided 24x7 support with distributed teams across the onsite/offshore locations. Our Design-Thinking-led approach for the next-generation platform, using Altassian Jira, helped connect the client’s multiple systems through microservice integration patterns. Download full case study
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     Larsen & Toubro Infotech(LTI)
By: Larsen & Toubro Infotech(LTI)     Published Date: May 21, 2019
US-based multinational financial services corporation was facing a longer time-to-market due to hampering of digital transformation across business lines, thereby affecting the developer productivity due to global manual build and deployment processes. LTI’s approach of providing end-to-end implementation of DevOps, with quality control gates, helped establish a role-based governance dashboard for real-time health KPIs of programs, projects, and tracking server positioning and the configuration status. Download full case study
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     Larsen & Toubro Infotech(LTI)
By: HERE Technologies     Published Date: May 23, 2019
To provide drivers with navigation experiences that are always fresh, differentiated and that set an OEM’s brand apart on either embedded or mobile platforms, automakers need an unprecedented level of flexibility and control over data, software and the delivery process. As a SaaS offering, HERE Navigation on Demand offers automakers a new way to solve their key challenges – such as static software, complex and costly solution development and the inability to update or upgrade the experience once vehicles are in the field. Automakers need alternatives as they overhaul their navigation and connected service programs and bring change to their development, deployment, and monetization processes. This whitepaper outlines how HERE Technologies can support them to deliver compelling navigation and connected experiences, while keeping them in full control of their branding and revenue streams. Find out how HERE Navigation on Demand leverages: The HERE Open Location Platform to deliver alwa
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     HERE Technologies
By: IBM APAC     Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance. Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
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     IBM APAC
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