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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: Altair     Published Date: Feb 19, 2014
PBS Works™, Altair's suite of on-demand cloud computing technologies, allows enterprises to maximize ROI on existing infrastructure assets. PBS Works is the most widely implemented software environment for managing grid, cloud, and cluster computing resources worldwide. The suite’s flagship product, PBS Professional®, allows enterprises to easily share distributed computing resources across geographic boundaries. With additional tools for portal-based submission, analytics, and data management, the PBS Works suite is a comprehensive solution for optimizing HPC environments. Leveraging a revolutionary “pay-for-use” unit-based business model, PBS Works delivers increased value and flexibility over conventional software-licensing models.
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     Altair
By: Altair     Published Date: Jul 15, 2014
With Cray and Altair, engineers have the computational systems they need to perform advanced subsea computational fluid dynamics (CFD) analysis with better speed, scalability and accuracy. With Altair’s AcuSolve CFD solver running on Cray® XC30™ supercomputer systems, operators and engineers responsible for riser system design and analysis can increase component life, reduce uncertainty and improve the overall safety of their ultra-deep-water systems while still meeting their demanding development schedule.
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     Altair
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
This demonstration shows how an organization using IBM Platform Computing workload managers can easily and securely tap resources in the IBM SoftLayer public cloud to handle periods of peak demand and reduce total IT infrastructure costs.
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     IBM
By: IBM     Published Date: Jun 05, 2014
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.
Tags : ibm
     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.
Tags : ibm
     IBM
By: IBM     Published Date: Aug 27, 2014
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.
Tags : ibm, hybrid cloud
     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: 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: 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: 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: 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: Bright Computing     Published Date: Feb 22, 2016
Cloud computing offers organizations a clear opportunity to introduce operational efficiency that would be too difficult or costly to achieve internally. As such, we are continuing to see an increase in cloud adoption for workloads across the commercial market. However, recent research suggests that -- despite continued increases in companies reporting that they are using cloud computing -- the vast majority of corporate workloads remain on premise. It is clear that companies are carefully considering the security, privacy, and performance aspects of cloud transition and struggling to achieve cloud adoption with limited internal cloud expertise. Register to read more.
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     Bright Computing
By: IBM     Published Date: Nov 14, 2014
The necessary compute power to drive modern biomedical research is a formidable and familiar challenge throughout the life sciences. Underlying infrastructures must evolve to keep pace with innovation. In such demanding HPC environments, Cloud computing technologies represent a powerful approach to managing technical computing resources. This paper shares valuable insight to life science centers leveraging cloud concepts to manage their infrastructure.
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     IBM
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: Nov 14, 2014
View this series of short webcasts to learn how IBM Platform Computing products can help you ‘maximize the agility of your distributed computing environment’ by improving operational efficiency, simplify user experience, optimize application using and license sharing, address spikes in infrastructure demand and reduce data management costs.
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     IBM
By: IBM     Published Date: Feb 13, 2015
To quickly and economically meet new and peak demands, Platform LSF (SaaS) and Platform Symphony (SaaS) workload management as well as Elastic Storage on Cloud data management software can be delivered as a service, complete with SoftLayer cloud infrastructure and 24x7 support for technical computing and service-oriented workloads. Watch this demonstration to learn how the IBM Platform Computing Cloud Service can be used to simplify and accelerate financial risk management using IBM Algorithmics.
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     IBM
By: IBM     Published Date: Feb 13, 2015
This demonstration shows how an organization using IBM Platform Computing workload managers can easily and securely tap resources in the IBM SoftLayer public cloud to handle periods of peak demand and reduce total IT infrastructure costs.
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     IBM
By: Panasas     Published Date: Oct 02, 2014
HPC and technical computing environments require the collection, storage,and transmission of large-scale datasets. To meet these demands, datacenter architects must consider how increasing storage capacity over time will affect HPC workloads, performance, and system availability. While many enterprises have looked to scale-up NAS to meet their storage needs, this approach can lead to data islands that make it difficult to share data. Distributed, scale-out storage was developed to get around the technology limitations of scale-up NAS architectures.
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     Panasas
By: General Atomics     Published Date: Jan 13, 2015
The term “Big Data” has become virtually synonymous with “schema on read” (where data is applied to a plan or schema as it is ingested or pulled out of a stored location) unstructured data analysis and handling techniques like Hadoop. These “schema on read” techniques have been most famously exploited on relatively ephemeral human-readable data like retail trends, twitter sentiment, social network mining, log files, etc. But what if you have unstructured data that, on its own, is hugely valuable, enduring, and created at great expense? Data that may not immediately be human readable or indexable on search? Exactly the kind of data most commonly created and analyzed in science and HPC. Research institutions are awash with such data from large-scale experiments and extreme-scale computing that is used for high-consequence
Tags : general atomics, big data, metadata, nirvana
     General Atomics
By: HP     Published Date: Oct 08, 2015
Administrators, engineers and executives are now tasked with solving some of the world’s most complex challenges. This could revolve around advanced computations for science, business, education, pharmaceuticals and beyond. Here’s the challenge – many data centers are reaching peak levels of resource consumption; and there’s more work to be done. So how are engineers and scientists supposed to continue working around such high-demand applications? How can they continue to create ground-breaking research while still utilizing optimized infrastructure? How can a platform scale to the new needs and demands of these types of users and applications. This is where HP Apollo Systems help reinvent the modern data center and accelerate your business.
Tags : apollo systems, reinventing hpc and the supercomputer, reinventing modern data center
     HP
By: Cisco EMEA     Published Date: Oct 01, 2019
Inleidende woorden van Steven Heinsius: In dit e?book komen de basisbeginselen van wifi aan bod, en de veelvoorkomende fouten die worden gemaakt bij draadloze implementaties. Dit e?book gaat over het opzetten van ‘goede wifi,’ ook zonder de duurste apparatuur, en het behalen van de beste resultaten met wat u ter beschikking hebt. Het is tevens een tool waarmee u fouten in wifi kunt uitleggen aan mensen zonder kennis van draadloze technologie. Het is educatief en het is leuk. Samen kunnen we de wereld van wifi voor onze gebruikers iets beter maken.
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     Cisco EMEA
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