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How HPC Cluster Manager Integrates Allinea Performance Reports

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In this video from SC14, Patrick Wohlschlegel from Allinea Software demonstrates how the company’s Performance Reports took has been integrated into HP’s cluster management system for system administrators.

Seagate Prepares 55 Petabyte File System for German Climatology Department

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In this video from SC14, Torben Kling-Petersen from Seagate describes an upcoming deployment of a 55 Petabyte Lustre file system in Hamburg, Germany. The ClusterStor deployment will be the most energy-efficient file system of its kind in the world upon installation.

Video: Seagate Steps up to HPC

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In this video from SC14, Ken Claffey from Seagate describes how the company is doubling down on high performance computing with its ClusterStor technology. Full Transcript: Ken Claffey: Hey Rich. Good to see you again. insideHPC: Oh, yeah. It’s always a pleasure. You Xyratex guys are like family. Ken Claffey: Another year rolls around, it’s […]

Video: Convergence of Extreme Computing and Big Data

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In this video, Satoshi Matsuoka, professor at Tokyo Institute of Technology, examines GPU’s role in the rapidly increasing data volume and processing requirements of so-called big data. Conventional cloud infrastructures will no longer be efficient. Will GPUs play a central role, or will they be peripheral?

A Livermore Perspective on Next-Generation Computing

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In this video from the Nvidia booth at SC14, Terri Quinn from LLNL presents: A Livermore Perspective on Next-Generation Computing. “Terri is responsible for an organization consisting of three divisions with over 400 technical staff working in high-performance computing, computer security, and enterprise computing. Livermore Computing (LC), LLNL’s high performance computing organization, operates some of the most advanced production classified and unclassified computing environments.”

Video: Red Hat Tunes Up at SC14

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In this video, Trilogy Tech Talk discusses what’s new with Red Hat’s Yan Fisher during SC14.

Video: GPU Acceleration – What’s Next?

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GPU-accelerated computing is the use of a graphics processing unit (GPU) together with a CPU to accelerate scientific, analytics, engineering, consumer, and enterprise applications. Pioneered in 2007 by NVIDIA, GPU accelerators now power energy-efficient datacenters in government labs, universities, enterprises, and small-and-medium businesses around the world. GPUs are accelerating applications in platforms ranging from cars, to mobile phones and tablets, to drones and robots.

Alex Bouzari Presents: DDN Vision

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“By developing technology which solves the 21st century challenges of massive data creation and complex information analytics — what many are calling the “Big Data Era,” and leveraging an extensive network of go-to-market partners which includes IBM, HP, Dell, and Sony, DDN has successfully deployed thousands of systems in enterprises, universities and government agencies worldwide.”

PGI Steps up with Support for Jetson TK1 and Power8

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At SC14, Nvidia announced that it is developing an enhanced version of the widely used PGI optimizing compilers which will allow developers to quickly develop new applications or run Linux x86-based GPU-accelerated applications on IBM POWER CPU systems with minimal effort.

Site-wide Storage Use Case and Early User Experience with Infinite Memory Engine

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“IME unleashes a new I/O provisioning paradigm. This breakthrough, software defined storage application introduces a whole new new tier of transparent, extendable, non-volatile memory (NVM), that provides game-changing latency reduction and greater bandwidth and IOPS performance for the next generation of performance hungry scientific, analytic and big data applications – all while offering significantly greater economic and operational efficiency than today’s traditional disk-based and all flash array storage approaches that are currently used to scale performance.”