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Reader Survey: Is Machine Learning in Your Future?

Will this be the year of artificial intelligence, when the technology comes into its own for mainstream business? There are big pushes for AI in manufacturing, agriculture, healthcare and many other industry sectors. But why now? Please share your insights in our Reader Survey.

Datacenter Efficiencies Through Innovative Cooling

Datacenters that are designed for High Performance Computing (HPC) applications are more difficult to design and construct than those that are designed for more basic enterprise applications. Organizations that are creating these datacenters need to be aware of, and design for systems that are expected to run at their maximum or near maximum performance for the lifecycle of the servers.

NVLink Speeds Deep Learning on New OpenPOWER Servers

Over at the IBM System Blog, Sumit Gupta writes that the company’s new IBM Power System 822LC with Nvidia Tesla P100 GPUs is already demonstrating impressive performance on Deep Learning training applications. “A single S822LC for HPC with four NVIDIA Tesla P100 GPUs is 2.2 times faster reaching 50 percent accuracy in AlexNet than a server with four NVIDIA Tesla M40 GPUs!”

XSEDE Awards Supercomputer Time to 155 Research Teams

Last week, XSEDE announced it has awarded more than $16M worth of compute resources to 155 research projects. This is the first cohort of allocations awardees after the announcement of a 5-year renewal of XSEDE by the National Science Foundation to expand access to the nation’s cyberinfrastructure ecosystem.

High Performance Interconnects: Assessment & Rankings

In this video from the HPC Advisory Council Spain Conference, Dan Olds from OrionX discusses the High Performance Interconnect (HPI) market landscape, plus provides ratings and rankings of HPI choices today. “In this talk, we’ll take a look at the technologies and performance of high-end networking technology and the coming battle between onloading vs. offloading interconnect architectures.”

Sandia’s Bill Camp to Receive Seymour Cray Award

This week, IEEE announced that Dr. William Camp, Director Emeritus at Sandia National Laboratories, has been named the recipient of the 2016 IEEE Computer Society Seymour Cray Computer Engineering Award “for visionary leadership of the Red Storm project, and for decades of leadership of the HPC community.” Dr. Camp spent most of his career at NNSA’s Sandia Labs, at Cray Research and at Intel.

First Look: BeeGFS File System at CSCS

In this video from the HPC Advisory Council Spain Conference, Hussein Harake provides an overview of the CSCS and then introduces the audience to the BeeGFS parallel file system. “BeeGFS (formerly FhGFS) is an up and coming parallel cluster file system for I/O intensive workloads. Developed with a strong focus on performance, BeeGFS was designed for very easy installation and management.”

Is Free Lunch Back? Douglas Eadline Looks at the Epiphany-V Processor

Over at Cluster Monkey, Douglas Eadline writes that the “free lunch” performance boost of Moore’s Law may indeed be back with the 1024-core Epiphany-V chip that will hit the market in the next few months.

Brookhaven Lab to Develop ECP Exascale Software

Scientists at Brookhaven National Laboratory will play major roles in two of the 15 fully funded application development proposals recently selected by the DOE’s Exascale Computing Project (ECP) in its first-round funding of $39.8 million. “The team at Brookhaven will develop algorithms, language environments, and application codes that will enable scientists to perform lattice quantum chromodynamics (QCD) calculations on next-generation supercomputers.”

LLNL Collaboration to Improve Cancer Screening

Computer scientists at LLNL and Norwegian researchers are collaborating to apply high performance computing to the analysis of medical data to improve screening for cervical cancer. The team is developing a flexible, extendable model that incorporates new data such as other biomolecular markers, genetics and lifestyle factors to individualize risk assessment, according to Abdulla. “We want to identify the optimal interval for screening each patient.”