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IBM Platform Computing – Ready to Run Clusters in the Cloud

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Demands by users that are running applications in the scientific, technical, financial or research areas can easily outstrip the capabilities of in-house clusters of servers. IT departments have to anticipate compute and storage needs for their most demanding users, which can lead to extra spending on both CAPEX and OPEX once the workload changes.

Slidecast: Software Defined Infrastructure for HPC

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“Imagine an entire IT infrastructure controlled not by hands and hardware, but by software. One in which application workloads such as big data, analytics, simulation and design are serviced automatically by the most appropriate resource, whether running locally or in the cloud. A Software Defined Infrastructure enables your organization to deliver IT services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs.”

NICE DCV 2014 Does Remote 3D Applications in the Cloud

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Today NICE in Italy released the latest version of their DCV remote visualization technology.

Clusters For Dummies

Clusters for Dummies

Clusters FOR DUMMIES is an excellent read for both experienced and novice administrators, users, purchasing departments, and developers who are considering purchasing or specifying a cluster.

Call for Papers: ISC Cloud & Big Data

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The inaugural ISC Cloud & Big Data conference has announced its Call for Research Papers. The event takes place Sept. 28-30 in Frankfurt, Germany. The organizers are looking forward to welcoming international attendees – IT professionals, consultants and managers from organizations seeking information about the latest cloud and big data developments. Researchers in these two […]

CloudyCluster Moves HPC out of the Data Center and Into the Cloud

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CloudyCluster allows you to quickly set up and configure a cluster on Amazon Web Services (AWS) to handle the most demanding HPC and Big Data tasks. You don’t need access to a data center and you don’t have to be an expert in the ins and outs of running computationally intensive workloads in a cloud environment.

Podcast: XSEDE Spurs on HPC at University of South Dakota

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In this podcast, Computer scientist Doug Jennewein discusses how the Extreme Science and Engineering Discovery Environment (XSEDE) has enhanced his work as USD’s research computing manager.

UberCloud Community and Marketplace for Technical Computing

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“The UberCloud Community brings together over 3,000 participants to pave the way for the Technical Computing Cloud. UberCloud Experiment teams explore the end-to-end process of accessing remote computing resources in HPC centers and in the Cloud to study and overcome the potential roadblocks for industry applications such as CAE, Bio and Life Sciences.”

iPlant Collaborative Bridges the Atlantic with Big Data

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“Scientists from all over the world use iPlant to share data and computational methods,” said Matt Vaughn, Co-Principal Investigator of the iPlant Collaborative and site lead at TACC. “iPlant UK is a natural extension of our platform to support plant scientists in the U.K.”

Utilizing Cloud HPC Resources for CAE Simulations

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“As cloud resources increase, users should be cognizant of the HPC platforms available in the cloud. Scalable and customizable resources are readily available, however, security, ease of use, and full integration of simulation software are important factors to consider when choosing to run analyses remotely. Cloud resources designed for engineering and science CAE simulations allow users to leverage high performance computing to fully explore the design space and develop innovative products. In this presentation, Joris will discuss the cloud HPC market trends, CAE simulations using cloud HPC, cloud software integration for CAE use, security around HPC cloud environments, data management and collaboration.”