high performance

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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: Seagate     Published Date: Jan 27, 2015
This paper is the first to explore a recent breakthrough with the introduction of the High Performance Computing (HPC) industry’s first Intelligence Community Directive (ICD) 503 (DCID 6/3 PL4) certified compliant and secure scale-out parallel file system solution, Seagate ClusterStor™ Secure Data Appliance, which is designed to address government and business enterprise need for collaborative and secure information sharing within a Multi-Level Security (MLS) framework at Big Data and HPC Scale.
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     Seagate
By: Seagate     Published Date: Jan 26, 2016
Finding oil and gas has always been a tricky proposition, given that reserves are primarily hidden underground, and often as not, under the ocean as well. The costs involved in acquiring rights to a site, drilling the wells, and operating them are considerable and has driven the industry to adopt advanced technologies for locating the most promising sites. As a consequence, oil and gas exploration today is essentially an exercise in scientific visualization and modeling, employing some of most advanced computational technologies available. High performance computing (HPC) systems are being used to fill these needs, primarily with x86-based cluster computers and Lustre storage systems. The technology is well developed, but the scale of the problem demands medium to large-sized systems, requiring a significant capital outlay and operating expense. The most powerful systems deployed by oil and gas companies are represented by petaflop-scale computers with multiple petabytes of attached
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     Seagate
By: Intel     Published Date: Aug 06, 2014
Around the world and across all industries, high-performance computing is being used to solve today’s most important and demanding problems. More than ever, storage solutions that deliver high sustained throughput are vital for powering HPC and Big Data workloads.
Tags : intel, enterprise edition lustre software
     Intel
By: Intel     Published Date: Aug 06, 2014
Designing a large-scale, high-performance data storage system presents significant challenges. This paper describes a step-by-step approach to designing such a system and presents an iterative methodology that applies at both the component level and the system level. A detailed case study using the methodology described to design a Lustre storage system is presented.
Tags : intel, high performance storage
     Intel
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: IBM     Published Date: Jun 05, 2014
High-performance computing (HPC) continues to transform capabilities of organizations across a range of industries, whether the Human Genome Project or aerodynamics testing for race cars, we demonstrate how IBM Platform Computing solutions offer effective ways to unleash the power of HPC.
Tags : ibm, hpc
     IBM
By: IBM     Published Date: Jun 05, 2014
This webcast short spotlights ways you can accelerate results and optimize your infrastructure and how IBM Platform Computing software and IBM Technical Computing solutions are helping to simplify the complexity of deploying and managing a high-performance IT infrastructure.
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     IBM
By: IBM     Published Date: Jun 05, 2014
Whether in high-performance computing, Big Data or analytics, information technology has become an essential tool in today’s hyper-competitive business landscape. Organizations are increasingly being challenged to do more with less and this is fundamentally impacting the way that IT infrastructure is deployed and managed. In this short e-book, learn the top ten ways that IBM Platform Computing customers are using technologies like IBM Platform LSF and IBM Platform Symphony to help obtain results faster, share resources more efficiently, and improve the overall cost-effectiveness of their global IT infrastructure.
Tags : ibm
     IBM
By: IBM     Published Date: Jun 05, 2014
In an audited benchmark conducted by STAC®, the Securities Technology Analysis Center, InfoSphere BigInsights for Hadoop was found to deliver an approximate 4x performance gain on average over open source Hadoop running jobs derived from production workload traces. The result is consistent with an approximate eleven times advantage in raw scheduling performance provided by Adaptive MapReduce – a new InfoSphere BigInsights for Hadoop feature that leverages high-performance computing technology from IBM Platform Computing.
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     IBM
By: IBM     Published Date: Jun 05, 2014
An executive summary of the results of a survey conducted by Desktop Engineering to gauge its audience’s familiarity with high performance cluster computing and its benefits.
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     IBM
By: IBM     Published Date: Jun 05, 2014
IBM Platform Symphony is a high performance SOA grid server that optimizes application performance and resource sharing. Platform Symphony runs distributed application services on a scalable, shared, heterogeneous grid and accelerates a wide variety of parallel applications, quickly computing results while making optimal use of available infrastructure. Platform Symphony Developer Edition enables developers to rapidly develop and test applications without the need for a production grid. After applications are running in the Developer Edition, they are guaranteed to run at scale once published to a scaled-out Platform Symphony grid. Platform Symphony Developer Edition also enables developers to easily test and verify Hadoop MapReduce applications against IBM Platform Symphony. By leveraging IBM Platform's Symphony's proven, low-latency grid computing solution, more MapReduce jobs can run faster, frequently with less infrastructure.
Tags : ibm
     IBM
By: IBM     Published Date: Jun 05, 2014
In an audited benchmark conducted by STAC®, the Securities Technology Analysis Center, InfoSphere BigInsights for Hadoop was found to deliver an approximate 4x performance gain on average over open source Hadoop running jobs derived from production workload traces. The result is consistent with an approximate eleven times advantage in raw scheduling performance provided by Adaptive MapReduce – a new InfoSphere BigInsights for Hadoop feature that leverages high-performance computing technology from IBM Platform Computing.
Tags : ibm
     IBM
By: IBM     Published Date: Jun 05, 2014
This book examines data storage and management challenges and explains software-defined storage, an innovative solution for high-performance, cost-effective storage using the IBM General Parallel File System (GPFS).
Tags : ibm
     IBM
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
With tougher regulations and continuing market volatility, financial firms are moving to active risk management with a focus on counterparty risk. Firms are revamping their risk and trading practices from top to bottom. They are adopting new risk models and frameworks that support a holistic view of risk. Banks recognize that technology is critical for this transformation, and are adding state-of-the-art enterprise risk management solutions, high performance data and grid management software, and fast hardware. Join IBM Algorithmics and IBM Platform Computing to gain insights on this trend and on technologies for enabling active "real-time" risk management.
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     IBM
By: IBM     Published Date: Sep 02, 2014
Comparing IBM performance against competitive offerings to help organizations deploy workloads with confidence IBM Platform Computing Cloud Service lets users economically add computing capacity by accessing ready-to-use clusters in the cloud-delivering high performance that compares favorably to cloud offerings from other providers. Tests show that the IBM service delivers the best (or ties for the best) absolute performance in all test categories. Learn More.
Tags : ibm, platform computing cloud services, benchmarking performance
     IBM
By: IBM     Published Date: Sep 16, 2015
6 criteria for evaluating a high-performance cloud services providers Engineering, scientific, analytics, big data and research workloads place extraordinary demands on technical and high-performance computing (HPC) infrastructure. Supporting these workloads can be especially challenging for organizations that have unpredictable spikes in resource demand, or need access to additional compute or storage resources for a project or to support a growing business. Software Defined Infrastructure (SDI) enables organizations to deliver HPC services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs. SDI is the foundation for a fully integrated environment, optimizing compute, storage and networking infrastructure to quickly adapt to changing business requirements, and dynamically managing workloads and data, transforming a s
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     IBM
By: IBM     Published Date: Sep 16, 2015
Docker is a lightweight Linux container technology built on top of LXC (LinuX Containers) and cgroup (control groups), which offers many attractive benefits for HPC environments. Find out more about how IBM Platform LSF® and Docker have been integrated outside the core of Platform LSF with a real world example involving the application BWA (bio-bwa.sourceforge.net). This step-by-step white paper provides details on how to get started with the IBM Platform LSF and Docker integration which is available via open beta on Service Management Connect.
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     IBM
By: IBM     Published Date: Sep 16, 2015
Are you trying to support more variable workloads than your environment can handle? Can you benefit from a high performance cluster, but do not have the budget or resources to deploy and manage technical computing infrastructure? Are you running out of data center space but still need to grow your compute capacity? If you want answers to any of these questions, then please join us for an informative webinar describing the advantages and pitfalls of relocating a high performance workload to the cloud. View this webinar to learn: - Why general purpose clouds are insufficient for technical computing analytics and Hadoop workloads; - How high performance clouds can improve your profitability and give you a competitive edge; - How to ensure that your cloud environment is secure; - How to evaluate which applications are suitable for a hybrid or public cloud environment; - How to get started and choose a service provider.
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     IBM
By: SGI     Published Date: Jun 08, 2016
With High Performance Computing (HPC) supercomputer systems that comprise tens, hundreds, or even thousands of computing cores, users are able to increase application performance and accelerate their workflows to realize dramatic productivity improvements. The performance potential often comes at the cost of complexity. By their very nature, supercomputers comprise a great number of components, both hardware and software, that must be installed, configured, tuned, and monitored to maintain maximum efficiency. In a recent report, IDC lists downtime and latency as two of the most important problems faced by data center managers.
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     SGI
By: RYFT     Published Date: Apr 03, 2015
The new Ryft ONE platform is a scalable 1U device that addresses a major need in the fast-growing market for advanced analytics — avoiding I/O bottlenecks that can seriously impede analytics performance on today's hyperscale cluster systems. The Ryft ONE platform is designed for easy integration into existing cluster and other server environments, where it functions as a dedicated, high-performance analytics engine. IDC believes that the new Ryft ONE platform is well positioned to exploit the rapid growth we predict for the high-performance data analysis market.
Tags : ryft, ryft one platform, 1u deivce, advanced analytics, avoiding i/o bottlenecks, idc
     RYFT
By: IBM     Published Date: May 20, 2015
Whether in high-performance computing, Big Data or analytics, information technology has become an essential tool in today’s hyper-competitive business landscape. Organizations are increasingly being challenged to do more with less and this is fundamentally impacting the way that IT infrastructure is deployed and managed. In this short e-book, learn the top ten ways that IBM Platform Computing customers are using technologies like IBM Platform LSF and IBM Platform Symphony to help obtain results faster, share resources more efficiently, and improve the overall cost-effectiveness of their global IT infrastructure.
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     IBM
By: IBM     Published Date: May 20, 2015
Are you trying to support more variable workloads than your environment can handle? Can you benefit from a high performance cluster, but do not have the budget or resources to deploy and manage technical computing infrastructure? Are you running out of data center space but still need to grow your compute capacity? If you want answers to any of these questions, then please join us for an informative webinar describing the advantages and pitfalls of relocating a high performance workload to the cloud. View this webinar to learn: - Why general purpose clouds are insufficient for technical computing analytics and Hadoop workloads; - How high performance clouds can improve your profitability and give you a competitive edge; - How to ensure that your cloud environment is secure; - How to evaluate which applications are suitable for a hybrid or public cloud environment; - How to get started and choose a service provider.
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     IBM
By: IBM     Published Date: May 20, 2015
Assembling a clustered environment can be complex due to the many software components that are required to enable technical and high performance computing (HPC) applications to run effectively. This webcast will demonstrate how IBM Platform Computing products simplify cluster deployment, use and management, bringing high performance capabilities to both experienced and new HPC administrators and users. We will also present examples of companies utilizing Platform Computing software today, to improve performance and utilization of their HPC environment while reducing costs.
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     IBM
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