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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: 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.
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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: 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: 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: 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: Hewlett Packard Enterprise     Published Date: Apr 26, 2019
Discover the transformational power of intelligent storage. A company’s competitive success depends greatly on how well it harnesses the value of its data. However, it can be challenging to keep pace with the increases in the scale of data being generated, as well as users’ demands for accessibility. Additionally, maximizing the value of digital information requires data to be leveraged at both the optimal time and the optimal place. With HPE’s intelligent storage portfolio, organizations can modernize their IT to better understand their customers, run more agile IT functions, and improve logistical operations.
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     Hewlett Packard Enterprise
By: TIBCO Software     Published Date: Mar 15, 2019
On-demand Webinar The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Speakers:
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     TIBCO Software
By: 3D Systems     Published Date: May 15, 2019
Investment casting is a precise manufacturing methodology that delivers value across industries, from mechanical, automotive and aerospace parts to intricate dental work, jewelry and sculpture. For centuries the trade-off for smooth and accurate investment casted parts has been high costs and long casting pattern lead times. Now the evolution of parts is accelerating dramatically in many industries resulting in shorter product life cycles and lower volumes of casted parts between cycles. Waiting for tooling for obsolete parts for aging aircraft also mean delays for aircraft to be repaired, costing time and money. Demand for faster foundry production is increasing in all industries and foundries need to be ready to respond. To find out how 3D Sysytems can help your business, download this eBook today.
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     3D Systems
By: 3D Systems     Published Date: May 15, 2019
Le moulage à modèle perdu est une méthode de fabrication précise qui apporte de la valeur ajoutée dans tous les secteurs, des pièces mécaniques, automobiles et aérospatiales aux traitements dentaires, bijoux et sculptures complexes. Pendant des siècles, les pièces coulées lisses et précises ont été obtenues au prix de coûts élevés et de longs délais de modèles de moulage. À présent, l'évolution des pièces s'accélère de manière spectaculaire dans de nombreux secteurs, ce qui se traduit par des cycles de vie des produits plus courts et des volumes de pièces moulées plus faibles entre les cycles. L'attente de l'outillage pour les pièces obsolètes destinées aux avions vieillissants entraîne également des retards dans leur réparation, ce qui coûte du temps et de l'argent. La demande d'une production en fonderie plus rapide augmente dans tous les secteurs et les fonderies doivent être prêtes à réagir.
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     3D Systems
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