memory

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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: Numascale     Published Date: Nov 20, 2013
Using commodity hardware and the “plug-and-play” NumaConnect interconnect, Numascale delivers true shared memory programming and simpler administration at standard HPC cluster price points. One such system currently offers users over 1,700 cores with a 4.6 TB single memory image
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     Numascale
By: SGI     Published Date: Mar 03, 2015
The SGI UV system is uniquely suited for bioinformatics and genomics by providing the computational capabilities and global shared memory architecture needed for even the most demanding sequencing and analytic tasks, including post sequencing and other data intensive workflows. Because of the systems outstanding speed and throughput, genomics researchers can perform very large jobs in less time, realizing a dramatically accelerated time-to-solution. And best of all, they can explore avenues of research that were computationally beyond the reach of HPC systems lacking the power and in-memory capabilities of the SGI UV.
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     SGI
By: Data Direct Networks     Published Date: Dec 31, 2015
Parallelism and direct memory access enable faster and more accurate SAS analytics using Remote Direct Memory Access based analytics and fast, scalable,external disk systems with massively parallel access to data, SAS analytics driven organizations can deliver timely and accurate execution for data intensive workfl ows such as risk management, while incorporating larger datasets than using traditional NAS.
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     Data Direct Networks
By: Intel     Published Date: Sep 27, 2019
The stakes are high in today's data centers. Organisations have access to massive quantities of data promising valuable insights and new opportunities for business. But data center architects need to rethink and redesign their system architectures to ingest, store and process all that information. Similarly, application owners need to assess how they can process data more effectively. Those who don't re-architect might find themselves scrambling just to keep from being drowned in a data deluge.
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     Intel
By: Intel     Published Date: Sep 27, 2019
As data constantly changes and expands, data centers increasingly face capacity, performance, and cost limitations related to existing memory and storage solutions. Intel Optane data center (DC) technology addresses these challenges by placing data closer to the CPU and closing the gap between traditional memory and storage options, thus transforming the memory and storage tier.
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     Intel
By: Intel     Published Date: Sep 27, 2019
As the first major memory and storage breakthrough in 25 years, Intel Optane technology combines industry-leading low latency, high endurance, QoS, and high throughput that allows the creation of solutions to remove data bottlenecks, and unleash CPU utilization. With Intel Optane technology, data centers can deploy bigger and more affordable datasets to gain new insights from large memory pools. Here are just ten way Intel Optane technology can make a difference to your business. To find out more download this whitepaper today.
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     Intel
By: Intel     Published Date: Sep 30, 2019
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data. The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints. The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance. Intel is addressing these challenges with new memory and storage technologies that emp
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     Intel
By: SAP     Published Date: Feb 03, 2017
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
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     SAP
By: SAP     Published Date: May 18, 2014
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
Download this whitepaper to learn the results of this latest exploration of the emerging world of in-memory database technologies.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools, it management
     SAP
By: SAP     Published Date: May 18, 2014
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
Forrester conducted in-depth surveys with 330 global BI decision-makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and big data tools. In this paper, you will learn what separates the leading companies from the rest when it comes to exploiting innovative technologies in BI and analytics, and what steps you can take to either stay a leader or join their ranks.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
This white paper, produced in collaboration with SAP, provides insight into executive perception of real-time business operations in North America. It is a companion paper to Real-time Business: Playing to win in the new global marketplace, published in May 2011, and to a series of papers on real-time business in Europe, Asia-Pacific and Latin America.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: SAP     Published Date: May 18, 2014
Leading companies and technology providers are rethinking the fundamental model of analytics, and the contours of a new paradigm are emerging. The new generation of analytics goes beyond Big Data (information that is too large and complex to manipulate without robust software), and the traditional narrow approach of analytics which was restricted to analysing customer and financial data collected from their interactions on social media. Today companies are embracing the social revolution, using real-time technologies to unlock deep insights about customers and others and enable better-informed decisions and richer collaboration in real-time.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: HPE Intel     Published Date: Jan 11, 2016
The world of storage is being transformed by the maturing of flash arrays, an approach to storage that uses multiple, solid state flash memory drives instead of spinning hard disk drives. An all-flash array performs the same functions as traditional spinning disks but in a fraction of the time required and in more compact form factors. Given its superior performance in certain contexts, all-flash arrays are experiencing strong industry adoption. However, best practices and a true understanding of key success factors for all- flash storage are still emerging. This paper is intended to educate you on best practices based on real user experience drawn from ITCentralStation.com. We offer all-flash user advice in selecting and building the business case for a flash array storage solution.
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     HPE Intel
By: Lenovo and Intel®     Published Date: Jan 08, 2019
If you are trying to process, understand, and benefit from "big data," you need SAP® HANA®. In-memory database Process data at extreme speeds Real-time analytics and insights If you want to make sure you have access to your data for insights, whenever and wherever you need them, then SAP HANA on Lenovo's future-defined infrastructure—powered by the Intel® Xeon® Platinum processor—delivers what you need. Get the details on everything you need to know about the value of SAP HANA, why SAP chose Lenovo for their own HANA installation, and how Lenovo can help your organization today.
Tags : sap hana, lenovo, intel, big data, database, analytics, insights
     Lenovo and Intel®
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