Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Nvidia Unveils World’s First GPU Design for Inferencing

Nvidia’s GPU platforms have been widely used on the training side of the Deep Learning equation for some time now. Today the company announced a new Pascal-based GPU tailor-made for the inferencing side of Deep Learning workloads. “With the Tesla P100 and now Tesla P4 and P40, NVIDIA offers the only end-to-end deep learning platform for the data center, unlocking the enormous power of AI for a broad range of industries,” said Ian Buck, general manager of accelerated computing at NVIDIA.”

Examples of Deep Learning Industrialization

Humans are very good at visual pattern recognition especially when it comes to facial features and graphic symbols and identifying a specific person or associating a specific symbol with an associated meaning. It is in these kinds of scenarios where deep learning systems excel. Clearly identifying each new person or symbol is more efficiently achieved by a training methodology than by needing to reprogram a conventional computer or explicitly update database entries.

New OpenPOWER Servers Accelerate Deep Learning with NVLink

Today IBM unveiled a series of new servers designed to help propel cognitive workloads and to drive greater data center efficiency. Featuring a new chip, the Linux-based lineup incorporates innovations from the OpenPOWER community that deliver higher levels of performance and greater computing efficiency than available on any x86-based server. “Collaboratively developed with some of the world’s leading technology companies, the new Power Systems are uniquely designed to propel artificial intelligence, deep learning, high performance data analytics and other compute-heavy workloads, which can help businesses and cloud service providers save money on data center costs.”

Interview: Numascale to Partner with OEMs on Big Memory Server Technology

Hailing from Norway, big-memory appliance maker Numascale has been a fixture at the ISC conference since the company’s formation in 2008. At ISC 2016, Numascale was noticeably absent from the show and the word on the street was that the company was retooling their NumaConnect™ technology around NVMe. To learn more, we caught up with Einar Rustad, Numascale’s CTO.

Intel Acquires Movidius to Bolster AI

Today Movidius announced that the company is being acquired by Intel. As a deep learning startup, Movidius’s mission is to give the power of sight to machines.

Supercomputing 3D Elevation Maps of Alaska on Blue Waters

Today, the National Geospatial-Intelligence Agency and NSF released 3-D topographic maps that show Alaska’s terrain in greater detail than ever before. Powered by the Blue Waters supercomputer, the maps are the result of a White House Arctic initiative to inform better decision-making in the Arctic. “We can’t live without Blue Waters now,” said Paul Morin, head of the University of Minnesota’s Polar Geospatial Center. “The supercomputer itself, the tools the Blue Waters team at NCSA developed, the techniques they’ve come up with in using this hardware. Blue Waters is changing the way digital terrain is made and that is changing how science is done in the Arctic.”

New Bright for Deep Learning Solution Designed for Business

“We have enhanced Bright Cluster Manager 7.3 so our customers can quickly and easily deploy new deep learning techniques to create predictive applications for fraud detection, demand forecasting, click prediction, and other data-intensive analyses,” said Martijn de Vries, Chief Technology Officer of Bright Computing. “Going forward, customers using Bright to deploy and manage clusters for deep learning will not have to worry about finding, configuring, and deploying all of the dependent software components needed to run deep learning libraries and frameworks.”

Bridges Supercomputer Enters Production at PSC

“Bridges has enabled early scientific successes, for example in metagenomics, organic semiconductor electrochemistry, genome assembly in endangered species, and public health decision-making. Over 2,300 users currently have access to Bridges for an extremely wide range of research spanning neuroscience, machine learning, biology, the social sciences, computer science, engineering, and many other fields.”

Paul Messina Presents: A Path to Capable Exascale Computing

Paul Messina presented this talk at the 2016 Argonne Training Program on Extreme-Scale Computing. “The President’s NSCI initiative calls for the development of Exascale computing capabilities. The U.S. Department of Energy has been charged with carrying out that role in an initiative called the Exascale Computing Project (ECP). Messina has been tapped to lead the project, heading a team with representation from the six major participating DOE national laboratories: Argonne, Los Alamos, Lawrence Berkeley, Lawrence Livermore, Oak Ridge and Sandia. The project program office is located at Oak Ridge.

Indiana University to Launch Three New HPC Systems

Indiana University plans to unveil three new HPC resources at a launch event on Sept 1: Jetstream, Big Red II+, and Diet. “With these new systems, IU continues to provide our researchers the leading-edge computational tools needed for the scale of today’s research problems,” said Brad Wheeler, IU vice president for IT and CIO. “Each of these systems is quite distinct in its purpose to meet the needs of our researchers and students.”