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AFRL Taps IBM to Build Brain-Inspired AI Supercomputer

Today IBM announced they are collaborating with the U.S. Air Force Research Laboratory (AFRL) on a first-of-a-kind brain-inspired supercomputing system powered by a 64-chip array of the IBM TrueNorth Neurosynaptic System. The scalable platform IBM is building for AFRL will feature an end-to-end software ecosystem designed to enable deep neural-network learning and information discovery.

Job of the Week: Computational Scientist at the University of Oregon

The University of Oregon High Performance Computing Research Core Facility (HPCRCF) is seeking a Computational Scientist in our Job of the Week. The HPCRCF is a new facility located on the campus of the UO in Eugene, Oregon. The mission of the HPCRCF is to support computational research at the UO and collaborating institutions, and is home to a new flagship research cluster.

Kim McMahon on her role as Diversity Chair at ISC 2018

In this video, Kim McMahon describes her new role as Diversity Chair for the ISC 2018 conference. “ISC has named me the Diversity Chair for ISC18. With this comes a position on the Steering Committee. While this is really cool in and of itself, I am very excited about the industry luminaries, experts, and innovators that I’ll get to meet and work with. The list of people on the ISC Steering Committee is a Who’s Who of the HPC industry! I am deeply honored with the trust ISC has placed in me and look forward to the upcoming year’s activities.”

Simply Beautiful: MareNorstum4 Supercomputer Sports 13.7 Petaflops

Over at Lenovo, Gavin O’Hara writes that the world’s most beautiful supercomputer center now sports a 13.7 Petaflop system so novel in design that it has captured the attention of the global HPC community. It landed at #13 on the TOP500 this week, and that’s just the beginning.

Deep Learning Frameworks Get a Performance Benefit from Intel MKL Matrix-Matrix Multiplication

Intel® Math Kernel Library 2017 (Intel® MKL 2017) includes new GEMM kernels that are optimized for various skewed matrix sizes. The new kernels take advantage of Intel® Advanced Vector Extensions 512 (Intel® AVX-512) and achieves high GEMM performance on multicore and many-core Intel® architectures, particularly for situations arising from deep neural networks..

Lustre Moves Forward: A Wrapup of LUG 2017

In this special guest feature, Sarp Oral from ORNL writes that the recent LUG Lustre User Group meeting in Indiana has set a new course for the popular parallel file system. “LUG is the premier event for the Lustre community and brings together developers, system architects and administrators, and users from all around the world to discuss the current status and future roadmap of Lustre.”

Ingram Micro Artizen Soutions for HPC

In this video from the GPU Technology Conference, Rick Young from Ingram Micro describes the company’s Artizen HPC solutions. “Available now to channel partners in the U.S., the distributor’s new and exclusive line of Artizen High Performance Computing (HPC) offerings include turnkey high performance servers, ultimate workstations, and customizable supercomputing clusters, as well as computing integration and software installation services.”

Monitoring and Management Interfaces for GPU Devices in a Cluster Environment

“This presentation will provide an overview of the Nvidia Tesla Deployment Kit (TDK) from a user and a system administrator point of view. TDL contains Nvidia Management Library (NVML) and nvidia-healthmon–a tool for detecting and troubleshooting known GPU issues in a cluster environment. Usage models within a cluster environment will be presented along with a discussion on how existing resource management tools can be extended to improve allocation and accounting of GPU resources.”

Video: ClusterStor Update

“HPC storage solutions and futures continue to evolve as growth and performance requirements permeate every HPC market segment. Torben discusses these challenges and how the company’s storage solutions are addressing these shifting needs with new developments around disk drives, RAID, CIFS, security, small file handling, and other related technologies.”

Managing the GPUs of Your Cluster in a Flexible Way with rCUDA

In this talk, we introduce the rCUDA remote GPU virtualization framework, which has been shown to be the only one that supports the most recent CUDA versions, in addition to leverage the InfiniBand interconnect for the sake of performance. Furthermore, we also present the last developments within this framework, related with the use of low-power processors, enhanced job schedulers, and virtual machine environments.”