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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 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
This brief webcast will cover the new and enhanced capabilities of Elastic Storage 4.1, including native encryption and secure erase, flash-accelerated performance, network performance monitoring, global data sharing, NFS data migration and more. IBM GPFS (Elastic storage) may be the key to improving your organization's effectiveness and can help define a clear data management strategy for future data growth and support.
Tags : ibm, elastic storage
     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
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
A fast, simple, scalable and complete storage solution for today’s data-intensive enterprise IBM Spectrum Scale is used extensively across industries worldwide. Spectrum Scale simplifies data management with integrated tools designed to help organizations manage petabytes of data and billions of files—as well as control the cost of managing these ever-growing data volumes.
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     IBM
By: IBM     Published Date: Sep 16, 2015
According to our global study of more than 800 cloud decision makers and users are becoming increasingly focused on the business value cloud provides. Cloud is integral to mobile, social and analytics initiatives – and the big data management challenge that often comes with them and it helps power the entire suite of game-changing technologies. Enterprises can aim higher when these deployments are riding on the cloud. Mobile, analytics and social implementations can be bigger, bolder and drive greater impact when backed by scalable infrastructure. In addition to scale, cloud can provide integration, gluing the individual technologies into more cohesive solutions. Learn how companies are gaining a competitive advanatge with cloud computing.
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     IBM
By: IBM     Published Date: Sep 16, 2015
Learn how organizations in cancer research, speech recognition, financial services, automotive design and more are using IBM solutions to improve business results. IBM Software Defined Infrastructure enables organizations to deliver IT services in the most efficient way possible, leveraging resource utilization to accelerate time to results and reduce costs. It is the foundation for a fully integrated software defined environment, optimizing compute, storage and networking infrastructure so organizations can quickly adapt to changing business requirements.
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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: 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
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.
Tags : 
     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
By: IBM     Published Date: May 20, 2015
Are infrastructure limitations holding you back? Users struggling with access to sufficient compute resources Resources tapped out during peak demand times Lack of budget, space or power to the environment IBM recently announced a new Platform Computing cloud service delivering hybrid cloud optimized for analytics and technical computing applications. The offering provides: Ready to run IBM Platform LSF & Symphony clusters in the cloud Seamless workload management, on premise and in the cloud 24x7 cloud operation technical support Dedicated, isolated physical machines for complete security Join us for this brief 20-minute webcast to learn how IBM offers a complete end-to-end hybrid cloud solution that may be key to improving your organization’s effectiveness and expediting time to market for your products.
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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: Seagate     Published Date: Sep 30, 2015
In all things, but especially in high-performance computing (HPC), the details matter. In HPC, the most important detail is drive efficiency, especially when analyzing storage performance. This fundamental metric is easy to calculate and can have a huge impact on HPC storage performance. In this guide, we’ll look at why conventional HPC storage architectures do so poorly at drive-level throughput and what that means to an organization’s ability to realize the full potential of its HPC investments. We’ll also explain why ClusterStor™ from Seagate® excels in this arena.
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     Seagate
By: Seagate     Published Date: Sep 30, 2015
Although high-performance computing (HPC) often stands apart from a typical IT infrastructure—it uses highly specialized scale-out compute, networking and storage resources—it shares with mainstream IT the ability to push data center capacity to the breaking point. Much of this is due to data center inefficiencies caused by HPC storage growth. The Seagate® ClusterStor™ approach to scale-out HPC storage can significantly improve data center efficiency. No other vendor solution offers the same advantages.
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     Seagate
By: Seagate     Published Date: Sep 30, 2015
Today’s HPC solutions are powerful—but power can impose usability challenges that may limit and even undermine a system’s performance, reliability and overall value. That’s why organizations need to focus on total HPC solution usability when considering new investments. Total usability embraces every aspect of implementing, optimizing and managing HPC storage—giving organizations a holistic view of both near-term and longterm value.
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     Seagate
By: Seagate     Published Date: Sep 30, 2015
In all things, but especially in high-performance computing (HPC), the details matter. In HPC, the most important detail is drive efficiency, especially when analyzing storage performance. This fundamental metric is easy to calculate and can have a huge impact on HPC storage performance. In this guide, we’ll look at why conventional HPC storage architectures do so poorly at drive-level throughput and what that means to an organization’s ability to realize the full potential of its HPC investments. We’ll also explain why ClusterStor™ from Seagate® excels in this arena.
Tags : 
     Seagate
By: Intel     Published Date: Sep 16, 2014
In this Guide, we take a look at what an HPC solution like Lustre can deliver for a broad community of business and commercial organizations struggling with the challenge of big data and demanding storage growth.
Tags : intel, lustre*, solution for business
     Intel
By: IBM     Published Date: Nov 14, 2014
View this demo to learn how IBM Platform Computing Cloud Service running on the SoftLayer Cloud helps you: quickly get your applications deployed on ready-to-run clusters in the cloud; manage workloads seamlessly between on-premise and cloud-based resources; get help from the experts with 24x7 Support; share and manage data globally; and protect your IP through physical isolation of bare metal hardware assets.
Tags : 
     IBM
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