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Xyratex Acquires Lustre Assets from Oracle, and there is Much Rejoicing

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Today Xyratex announced that the company has acquired the original Lustre trademark, logo, website and associated intellectual property from Oracle, and will assume responsibility for providing support to Lustre customers going forward. The company say it plans to advance the global Lustre portfolio by supporting the community-oriented development of Lustre as an open source file system and continuing to work in conjunction with the broader community to help chart the best path forward for this key technology.

Lustre is a powerful open source file system, and Xyratex strongly believes that all members of the Lustre community need to continue to play a part in the evolution of the code and the benefits it delivers over the long term,” said Steve Barber, CEO of Xyratex. “We want to ensure that current Lustre customers get the best possible feature roadmap and support, and we intend to engage the entire community to advance the Lustre technology. We also appreciate Oracle’s support of Lustre, and their efforts to ensure the long-term success of the technology.”

From this reporter’s perspective, this is really good news for the Lustre community. Oracle owned the Lustre assets since it acquired Sun Microsystems in 2010, and the company didn’t take kindly to organizations using the Lustre trademark in the past. Now with these assets in the hands of an active Lustre community member (Xyratex is a board-level sponsor of OpenSFS), one could say that Jack has effectively rescued the Open Source Goose from the mean old Giant.

OpenSFS actively supports the HPC open source file system community of which Xyratex is an active Member,” said Norm Morse, CEO at OpenSFS. “This acquisition gives Xyratex a great opportunity in concert with other members of the Lustre community to continue the stability needed to ensure Lustre remains a vital part of HPC going forward.  We look forward to working with Xyratex in the future.”

With their ClusterStor products now being distributed by the likes of Cray, HP, and Dell, Xyratex is now well-positioned to move forward with their increasing focus on HPC and Big Data markets. Powered by Lustre, ClusterStor technology not only holds the title for world’s fastest file system at over 1 Terabyte/sec, they managed to accomplish that number with about half the storage devices of the next runner-up.

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SGI to Provide Total Solution

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Technical computing provider SGI has announced that Total has selected it to provide a high-performance computing solution capable of delivering compute power of 2.3 petaflops per second.

The system will use the latest generation of SGI ICE X servers, and greatly increases the data processing power previously available to Total at its Jean Féger Scientific and Technical Centre (CSTJF) in Pau, southwest France.

The aim of the new system is to help Total in the quest to identify and develop new oil and gas prospects.

The needs for compute-intensive data processing in the oil and gas industry are constantly increasing,’ said SGI interim CEO Ron Verdoorn. “With data files exceeding 10 petabytes, technological innovation for reservoir modelling and simulation relies not only on compute architectures but also on storage architectures, as well. Within this framework, SGI offers a complete integrated solution including compute, storage, and services.”

This story appears here as part of a cross-publishing agreement with Scientific Computing World.


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Compute Canada Allocates 1 Billion Processor Hours to Research Projects

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Compute Canada (CC), Canada’s national platform of high-performance Computing resources, has announced grants of nearly CA$72 million for computing, storage and support resources allocated to 212 research projects across the country.

The grants will allocate nearly one billion processor hours and 10.4 petabytes of storage to the projects over the next year. Researchers will also have direct access to more than 40 programming and technical experts who are critical to enabling the efficient use of these HPC systems.

CC’s distributed resources represent close to two petaflops of compute power, and more than 20 petabytes of storage.

Compute Canada’s extensive network of computing resources, data storage facilities, research tools and expertise is supporting projects that feed into a thriving Canadian R&D sector and contribute important socio-economic benefits to Canada,” said Bill Appelbe, CC’s incoming CEO. “This year’s allocations represent the diverse and leading-edge science taking place at research institutions across the country.”

Previous projects — which range from aerospace design and climate modelling to medical imaging and nanotechnology — have produced results and breakthroughs that in many cases wouldn’t be possible without CC’s resources.

This story appears here as part of a cross-publishing agreement with Scientific Computing World.

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Video: Xyratex CEO Steve Barber on 2013 Strategy

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In this video, Xyratex CEO Steve Barber discusses the company’s accomplishments in 2012 as well as their strategy for 2013.

I believe that we are executing well on the long-term strategy that we outlined in October and we have positive results with new customer wins and opportunities heading into fiscal year 2013,” said Xyratex CEO Steve Barber. “We have made significant progress in the High Performance Computing data storage market with partners such as Cray Inc, DELL and HP, and I believe we are well positioned with our unique IP to deliver greater value for our customers and partners,” said Steve Barber, CEO of Xyratex. “Over the next 18 to 24 months, we have a number of new opportunities, particularly in the areas of High Performance Computing data storage and Big Data, that I believe will be positive for the company.”

In related news, Xyratex recently released their earnings report for 2012. Read the Full Story.


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Jeff Layton on Why Application Profiling is the Key to Survival

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Over at HPC Admin, Dell’s Jeff Layton writes that the plethora of available processing architectures today makes it more important than ever to know your application.

Two basic approaches are available to help you understand your application: profiling, which gathers summary data when an application is run, and tracing, which presents a history of events as a function of time when the application is executed. I believe both tools can be used to gather information about your application so that you can begin to paint a picture of how your application behaves and how it interacts with the system. In my opinion, just application profiling or tracing is not enough: You also need to profile and trace the system while the application is running so you get a much more complete picture of what the application is doing and what the system is doing to support the application or in response to it.

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ClusterVision Partners to Deploy Minerva Supercomputer at the University of Nottingham

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This week ClusterVision announced that the company and its partners have completed the deployment of a new HPC system at the University of Nottingham. The 45 Teraflop “Minerva” supercomputer will be used to drive academic research in a wide range of scientific disciplines.

As the prime contractor for the design, build and management of the Minerva system, ClusterVision managed a complex collaboration of 17 hardware and software partners. Key contributors to the Minerva project included Dell, Intel, Qlogic, Nvidia, Panasas, Bright Computing, Altair Engineering and Allinea.

The Minerva system comprises 2 redundant master nodes; Dell PowerEdge R720’s, with a single master node shared storage provided by the 2U 12 disk Dell PowerVault MD3200. The compute capacity is shared between 156 Dell PowerEdge nodes, arranged in Dell C6220 servers, with 12 high memory fast I/O nodes also in Dell 6220’s, and 6 additional GPU accelerated nodes. Originally designed using C6100 servers, the Dell compute node specification was subsequently upgraded to Dell PowerEdge C6620’s which were introduced as a vehicle for the latest Intel Xeon E5 Sandy Bridge processors. Each 2.6 Ghz compute unit contains a 500 GB local disk. The fast I/O nodes have 500 GB SATA and 4 100 GB SSD’s and are designed specifically for the high intensity needs of the applications. The 6 GPU accelerated nodes comprise a Supermicro base chassis, also incorporating the 8-core Intel Xeon E5 processor, together with 2 Tesla M2090 series GPU’s from NVIDIA.

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Video: Xyratex CEO Steve Barber on their Developing HPC Storage Business

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In this video, Xyratex CEO Steve Barber discusses the company’s move to HPC markets with ClusterStor Lustre-based storage systems.

Looking forward, we are leveraging our years of unique knowledge and experience to create and deliver fresh, ground-breaking design approaches to enterprise class storage that meet the specific needs of High Performance Computing, Big Data and Cloud.

Now available through partner/resellers including Cray, Dell, and HP, ClusterStor continues to gain traction in the HPC space. At insideHPC, we think Xyratex is one company to watch.

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LSU Powers Up SuperMike-II, A Hybrid SMP Cluster from Dell

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Louisiana State University has announced the addition of the SuperMike-II, a hybrid cluster with Nvidia GPU accelerators and large-memory symmetric multiprocessing. Named after LSU’s original Supermike Linux cluster, the 212 teraflop system is 10 times faster than its immediate predecessor, Tezpur.

Built by Dell, Inc., the $2.6 million SuperMike-II features a total of 440 compute nodes (servers), each of which has 2 Intel Sandy Bridge 8-core processors running at 2.6GHz. Thus the system provides a grand total of 7040 computational cores. The nodes are interconnected by a 40Gbps Mellanox InfiniBand network. While most of the nodes (382) have 32GB of memory, 8 are equipped with 256GB each and joined via ScaleMP software to give a single SMP machine with 128 processing cores and 2TB of memory. Fifty nodes are each equipped with 64GB of memory, and two NVIDIA Tesla M2090 GPUs.

To be used by researchers for applications ranging from coastal modeling to molecular dynamics and protein folding, the SMP component will also allow new work to be done in the area of graph theory, genome sequencing, and quantum mechanics. The GPU accelerators will be utilized for the design of new materials and new medicines using novel computational methods, and will be used to advance LSU’s commitment to digital media research and production facilities. Read the Full Story.

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Interview: HPC Wales Bolsters the Fight Against Cancer

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Over at HPC Wales, an interview with Dr. Tatiana Tatarinova from the Glamorgan Computational Biology Research Group looks at how her team has been better able to study the genes, proteins, evolution and processes inside a cell using mathematical modelling and computational simulation.

There’s a revolution in the lab-based sciences and computing technologies. We can process enormous volumes of diverse data quite cheaply, and at the same time new experimental techniques are continuously being developed. Through integrating both, we can produce unprecedented information about biological processes: with the use of high performance computing this has the potential to impact all aspects of life and all scientific disciplines.”

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Jeff Layton on Matlab-Like Tools for HPC

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Over at Admin HPC, Dell’s Jeff Layton writes that while Matlab is a wonderful HPC application, there are a number of affordable alternatives available.

This brings up the category of tools that are typically called “Matlab-like”; that is, they try to emulate the concept of Matlab and make the syntax basically compatible so moving back and forth is relatively easy. When people ask what tools or applications they can try on their shiny new cluster, I tend to recommend one of these Matlab-like tools, even though they aren’t strictly parallel right out of the box (so to speak).

Layton goes on to describe how to install Scilab, GNU Octave, and FreeMat. Read the Full Story.

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CFD Gives Athletes a Competitive Edge

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Over at Wired, Madhumita Venkataramanan writes that mechanical engineers at Sheffield Hallam University are using full CFD modeling to help triathletes be more competitive.

To build this visualisation, known as a computational fluid-dynamics model, Ranchordas’s body shape and geometry was captured with a robotic scanner. Next, his contours were put into a virtual wind-tunnel, where scientists played around with values such as wind velocity and direction. The model can then predict how air flows around his body.

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Demo: Cycle Computing Spins Up Big AWS Clusters on-the-fly at SC12

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In this video from SC12, Cycle Computing CEO Jason Stowe demonstrates how easy it is to use the company’s software to provision large compute instances on the AWS cloud.

CycleCloud is the leading software for creating HPC clusters in the cloud, from small to Top 500 Supercomputer scales. CycleCloud makes it easy to deploy, secure, automate, and manage running calculations dynamically at large scales, up to 50000 cores or more. Click here to start using CycleCloud. Companies use CycleCloud in production clusters running molecular modelling, risk analysis, bioinformatics/sequencing, semiconductor simulation, and document processing.

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Video: Dell Powers Genomics Research Computing at SC12

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In this video, Glen Otero from Dell discusses his Birds of Feather session on Personalized Medicine at SC12. The company is working with researchers to enable faster, more cost-effective genome sequencing to enable better healthcare for us all.

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University of Texas Team Wins SC12 Student Cluster Challenge

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This year at SC12, University of Texas at Austin won the Student Cluster Competition, beating teams around the world, including the USA, Europe, Canada, China, Costa Rica, Germany, Russia and Taiwan.

None of us expected to win, but we didn’t expect to lose either…we were thrilled,” said Craig Yeh, a third year Computer Science major at The University of Texas at Austin. “The win validated all of the work we did since May leading up to the competition. I highly recommend this experience to other students at The University of Texas.”

The winning student team members include Andrew Wiley, Reid Douglas McKenzie, Michael Teng, Anant Rathi, Craig Yeh, and Julian Michael. The team and TACC partnered with Dell, Nvidia, and Intel to design and build a hybrid, power-saving system that integrated GPUs, Intel processors, and a new-generation Dell chassis. The company sponsors provide the hardware and travel funds, while the TACC mentors worked side by side with the students to teach them the fundamentals of cluster construction, systems administration, and program optimization. Chevron and Mellanox also served as sponsors of this year’s team.

It’s a real-world situation,” said John Lockman, the team’s lead mentor and a member of TACC’s High Performance Computing group. “For example, a data center in industry might need to expand, but can’t due to financial or space constraints, so they have a limited amount of power and a scientific workload that they have to accomplish in a reasonable amount of time.”

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Video: Dell HPC Keeps Focus on Helping Researchers

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In this video from SC12, Tim Carroll from from Dell discusses the company’s recent Stampede supercomputer installation at the Texas Advanced Computing Center and how the company focuses on helping researchers.

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