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DEEP Project Unveils 500 Teraflop Prototype

DEEP Cluster nodes with front-panel connectors for the Ethernet-based service network. Power, Infiniband® and liquid cooling connectors are embedded into the backplane for minimal maintenance overhead.

The EU-funded DEEP Project has unveiled their innovative HPC platform: a 500 TFlop/s prototype system that implements a Cluster-Booster concept that has a lot in common with a turbocharged engine. The prototype operates with a full system software stack and programming environment engineered for performance and ease of use.

Video: HPC Transforms Diagnostic Medical Imaging

Justin Baba, joint faculty associate professor at the University of Tennessee, Knoxville, and Research and Development staff member at ORNL

In this video, Justin Baba from the University of Tennessee and Oak Ridge National Laboratory describes how HPC transforms medical diagnostic imaging. “A lot of studies have been published on the impact of detecting or tracking the polarization of photons,” Baba says. “But there isn’t much understanding of what is actually occurring as these photons are scattering and propagating through the media. We have captured step by step what is taking place at each scattering event and the effects on the photons’ properties due to a scattering event. So we are able to elucidate what is already out there in the literature.”

Video: HPC Matters at PayPal

Ryan Quick, PayPal

In this video from the SC15 HPC Matters series, Ryan Quick, Principal Architect for Advance Technologies at Paypal, talks about how HPC transforms online payment transactions. “IDC estimates that PayPal has saved more than $700 million by moving up to HPC in a very innovative way for real-time and predictive fraud analysis,” said Earl Joseph of IDC. “High performance data analysis – big data using HPC – is the fastest growing part of the HPC market and is attracting many commercial users. “

Video: NCSA’s Ed Seidel Testifies on the Networking and Information Technology Research and Development Program


In the video, Ed Seidel from NSCA testifies at a House hearing on the Networking and Information Technology Research and Development (NITRD) Program. NITRD provides a framework in which many Federal agencies come together to coordinate their networking and information technology (IT) research and development (R&D) efforts.

Video: How the SPARC M7 Builds Security into Silicon


“The SPARC M7 incorporates silicon-embedded advancements primarily in two areas: security and performance. First, the SPARC M7 accelerates data encryption through “cryptographic units” integrated in each of its 32 cores. And by incorporating very high-performance encryption in the chip, Fowler says, the M7 is able to not only secure data quickly but also devote substantial processor resources to additional projects, resources that otherwise would be occupied encrypting data at the software layer.”

Interview: Baidu Speeds Deep Learning with GPU Clusters

Chris Fougner, Baidu Research

“Deep neural networks are increasingly important for powering AI-based applications like speech recognition. Baidu’s research shows that adding GPUs to the data center makes deploying big deep neural networks practical at scale. Deep learning based technologies benefit from batching user requests in the data center, which requires a different software architecture than traditional web applications.”

Video: Debugging and Profiling Your HPC Applications


David Lecomber from Allinea Software presented this talk at the Argonne Training Program on Extreme-Scale Computing. “From climate modeling to astrophysics, from financial modeling to engine design, the power of clusters and supercomputers advances the frontiers of knowledge and delivers results for industry. Writing and deploying software that exploits that computing power is a demanding challenge – it needs to run fast, and run right. That’s where Allinea comes in.”

Panel Discussion: Extreme-Scale Numerical Algorithms and Software


“The FASTMathSciDAC Institute develops and deploys scalable mathematical algorithms and software tools for reliable simulation of complex physical phenomena and collaborates with application scientists to ensure the usefulness and applicability of FASTMath technologies. Our current research efforts are focused on developing a full range of technologies to improve the reliability, accuracy, and robustness of application simulation codes.”

Video: Introduction to the Yellowstone Supercomputer


In this video, Patrick Nichols from the Computational and Informational Systems Laboratory presents: Introduction to the Yellowstone Supercomputer. Yellowstone is NCAR’s 1.5-petaflops high-performance IBM iDataPlex cluster, which features 72,576 Intel Sandy Bridge processors and 144.6 TB of memory.

Video: Python for High Performance Computing


In this video from the recent Argonne Training Program on Extreme-Scale Computing, William Scullin from Argonne National Labs presents: Python for High Performance Computing.