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SGI Powers Fionn Supercomputer at ICHEC in Ireland

Niall Wilson

In this video, Niall Wilson describes how ICHEC delivers top-quality technology services and support to universities and enterprises. “Based on the solution’s superior price performance, ICHEC deployed Fionn, a supercomputer built on SGI ICE X hardware running SUSE Linux Enterprise Server. On implementing Fionn, ICHEC was funded by Intel to work on its new many-core technology as an official Intel Parallel Computing Center.”

Deploying Hadoop on Lustre Storage: Lessons Learned and Best Practices

Hadoop Cluster

In this video from LUG 2015 in Denver, J.Mario Gallegos from Dell presents: Deploying Hadoop on Lustre Storage: Lessons Learned and Best Practices. “Merging of strengths of both technologies to solve big data problems permits harvesting the power of HPC clusters on very fast storage.”

SGI Powers Earthquake Research in Japan

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Today SGI announced that the Earthquake and Volcano Information Center of the Earthquake Research Institute (ERI) at the University of Tokyo, has deployed a large-scale parallel computing solution from SGI for leading-edge seismological and volcanological research.

Dell’s GDAP Delivers an Integrated Genomic Processing Infrastructure

Genomics processing

Dell has teamed with Intel to create innovative solutions that can accelerate the research, diagnosis and treatment of diseases through personalized medicine. The combination of leading-edge CPUs from Intel and the systems and storage expertise from Dell create a state-of-the-art solution that is easy to install, manage and expand as required.

Interview: AutoTune – Automated Optimization and Tuning

Michael Gerndt, Technische Universität München

The main goal of AutoTune is the automatic optimization of applications in the area of HPC, targeting both performance optimization and energy efficiency. In this interview, Michael Gerndt from the Technische Universitaet Muenchen tells us more about the project.

Video: Current Status of ZFS as Backend File System for Lustre

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“Intel supports users, system integrators, and OEMs using ZFS with Intel Lustre. In this presentation, we summarize the results of proof-of-concept (PoC) on a variety of the ZFS configurations. We cover sequential and metadata performance, data Integrity, manageability, availability and reliability. The work identifies the areas where development should be focused in order to fill gap in performance or functionality and encourage system administrator to integrate this technology with the existing high availability framework like Pacemaker/Corosync. We also cover the most important tunables for ZFS in combination with Lustre and the most notable metrics for Lustre and ZFS.”

Intel’s Diane Bryant on Bringing Diversity to the Tech Sector

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How does a woman break through the glass ceiling? In this video from the Re/Code Conference, Intel’s Diane Bryant discusses the pathway to diversity in the tech sector.

NERSC to Install Cori Phase 1 Supercomputer this Summer

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Today NERSC announced that their Cori Phase 1 system will be the first supercomputer installed in the new Computational Research and Theory Facility, which is now in the final stages of construction at LBNL. Expected to be delivered this summer, the Cray XC40 supercomputer will be powered by Intel Haswell processors and Cray’s DataWarp burst buffer technology.

Video: Lustre 2.8 and Beyond

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“Andreas Dilger from Intel presents an overview on the features currently under development for the upcoming Lustre 2.8 and 2.9 releases. This includes Layout Enhancement, Progressive File Layouts, Data-on-MDT, and improved single-client metadata and IO performance. In addition, several Lustre-specific ZFS improvements are also under development that will be available in this timeframe.”

Video: Lustre HSM in the Cloud

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“The combination of the ephemeral nature of the cloud and directly addressable archives such as S3 suggest novel methods for using the Lustre HSM interface. Persistent data sets in the cloud need to be managed independently from a ephemeral filesystem and compute resources. Managing datasets in the cloud could, for example, involves importing data from Amazon’s S3 back into a freshly-created Lustre filesystem, performing I/O intensive computations, and then persisting the datasets back to S3 before terminating the filesystem and compute resources. Alternatives for archive formats will also be discussed. AWS S3 will be used for concrete examples, but the general methods should be applicable to other cloud environments as well.”