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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: Bright Computing     Published Date: May 05, 2014
A successful HPC cluster is a powerful asset for an organization. The following essential strategies are guidelines for the effective operation of an HPC cluster resource: 1. Plan To Manage the Cost of Software Complexity 2. Plan for Scalable Growth 3. Plan to Manage Heterogeneous Hardware/Software Solutions 4. Be Ready for the Cloud 5. Have an answer for the Hadoop Question Bright Cluster Manager addresses the above strategies remarkably well and allows HPC and Hadoop clusters to be easily created, monitored, and maintained using a single comprehensive user interface. Administrators can focus on more sophisticated, value-adding tasks rather than developing homegrown solutions that may cause problems as clusters grow and change. The end result is an efficient and successful HPC cluster that maximizes user productivity.
Tags : bright computing, hpc clusters
     Bright Computing
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
As new research and engineering environments are expanded to include more powerful computers to run increasingly complex computer simulations, the management of these heterogeneous computing environments continues to increase in complexity as well. Integrated solutions that include the Intel® Many Integrated Cores (MIC) architecture can dramatically boost aggregate performance for highly-parallel applications.
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     IBM
By: IBM     Published Date: Jun 05, 2014
Learn how much IBM Platform Symphony can save you. Answer a few questions in this easy to use wizard about your infrastructure, application environment, personnel and your growth rate. The logic behind this tool will generate a powerful report you can use to realize significant cost savings.
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     IBM
By: IBM     Published Date: Jun 05, 2014
IBM Platform LSF is a powerful workload management platform for demanding, distributed HPC environments. It provides a comprehensive set of intelligent, policy-driven scheduling features that enable you to utilize all of your compute infrastructure resources and ensure optimal application performance.
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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.
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     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).
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     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
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: IBM     Published Date: Sep 16, 2015
The IBM Spectrum Scale solution provided for up to 11x better throughput results than EMC Isilon for Spectrum Protect (TSM) workloads. Using published data, Edison compared a solution comprised of EMC® Isilon® against an IBM® Spectrum Scale™ solution. (IBM Spectrum Scale was formerly IBM® General Parallel File System™ or IBM® GPFS™, also known as code name Elastic Storage). For both solutions, IBM® Spectrum Protect™ (formerly IBM Tivoli® Storage Manager or IBM® TSM®) is used as a common workload performing the backups to target storage systems evaluated.
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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: 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: IBM     Published Date: May 20, 2015
Software defined storage is enterprise class storage that uses standard hardware with all the important storage and management functions performed in intelligent software. Software defined storage delivers automated, policy-driven, application-aware storage services through orchestration of the underlining storage infrastructure in support of an overall software defined environment.
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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
The latest generation of highly scalable HPC clusters is a game changer for design optimization challenges. HPC clusters, built on a modular, multi-core x86 architecture, provide a cost effective and accessible platform on which to conduct realistic simulation compared with the “big iron” HPC systems of the past or with the latest workstation models. This paper provides 6 steps to making clusters a reality for any business.
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     IBM
By: Adaptive Computing     Published Date: Feb 21, 2014
Big data applications represent a fast-growing category of high-value applications that are increasingly employed by business and technical computing users. However, they have exposed an inconvenient dichotomy in the way resources are utilized in data centers. Conventional enterprise and web-based applications can be executed efficiently in virtualized server environments, where resource management and scheduling is generally confined to a single server. By contrast, data-intensive analytics and technical simulations demand large aggregated resources, necessitating intelligent scheduling and resource management that spans a computer cluster, cloud, or entire data center. Although these tools exist in isolation, they are not available in a general-purpose framework that allows them to inter operate easily and automatically within existing IT infrastructure.
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     Adaptive Computing
By: SGI     Published Date: Jan 07, 2015
After a long dry spell triggered in part by the global downturn in the economy, manufacturing is enjoying an economic and technological resurgence. According to the Institute of Supply Management1 (ISM), American manufacturing continues to improve. The ISM recently reported that manufacturing activity expanded in September 2014 for the 16th consecutive month, and that the overall national economy grew for the 64th consecutive month. Part of this growth is being fueled by the adoption of computer aided engineering (CAE) and analysis solutions powered by high performance computing (HPC)—especially by the Tier One manufacturers. HPC is beginning to make some inroads into the ranks of the small to medium sized manufacturers (SMMs), but the going is slow.
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     SGI
By: SGI     Published Date: Feb 26, 2015
After a long dry spell triggered in part by the global downturn in the economy, manufacturing is enjoying an economic and technological resurgence. According to the Institute of Supply Management1 (ISM), American manufacturing continues to improve. The ISM recently reported that manufacturing activity expanded in September 2014 for the 16th consecutive month, and that the overall national economy grew for the 64th consecutive month. Part of this growth is being fueled by the adoption of computer aided engineering (CAE) and analysis solutions powered by high performance computing (HPC)—especially by the Tier One manufacturers. HPC is beginning to make some inroads into the ranks of the small to medium sized manufacturers (SMMs), but the going is slow.
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     SGI
By: IBM     Published Date: Nov 14, 2014
IBM Platform HPC Total Cost of Ownership (TCO) tool offers a 3-year total cost of ownership view of your distributed computing environment and savings that you could potentially experience by using IBM Platform HPC in place of competing cluster management software. This model can estimate savings with the deployment of intelligent cluster management software. The use of this simple tool does not substitute for detailed analysis. To have IBM perform a business value assessment for your environment, and provide a more accurate estimate of potential savings, please contact your IBM representative.
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     IBM
By: IBM     Published Date: Nov 14, 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
By: IBM     Published Date: Nov 14, 2014
The latest generation of highly scalable HPC clusters is a game changer for design optimization challenges. HPC clusters, built on a modular, multi-core x86 architecture, provide a cost effective and accessible platform on which to conduct realistic simulation compared with the “big iron” HPC systems of the past or with the latest workstation models. This paper provides 6 steps to making clusters a reality for any business.
Tags : 
     IBM
By: IBM     Published Date: Feb 13, 2015
Learn how much IBM Platform Symphony can save you. Answer a few questions in this easy to use wizard about your infrastructure, application environment, personnel and your growth rate. The logic behind this tool will generate a powerful report you can use to realize significant cost savings.
Tags : 
     IBM
By: IBM     Published Date: Feb 13, 2015
IBM Platform HPC Total Cost of Ownership (TCO) tool offers a 3-year total cost of ownership view of your distributed computing environment and savings that you could potentially experience by using IBM Platform HPC in place of competing cluster management software. This model can estimate savings with the deployment of intelligent cluster management software. The use of this simple tool does not substitute for detailed analysis. To have IBM perform a business value assessment for your environment, and provide a more accurate estimate of potential savings, please contact your IBM representative.
Tags : 
     IBM
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