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Nvidia Speeds Up Deep Learning Software

DIGITS 2 Preview performance vs. previous version on
GeForce GTX TITAN X GPUs in an NVIDIA DIGITS DevBox system

Today Nvidia updated its GPU-accelerated deep learning software to accelerate deep learning training performance. With new releases of DIGITS and cuDNN, the new software provides significant performance enhancements to help data scientists create more accurate neural networks through faster model training and more sophisticated model design.

Making HPC Simple for Small Companies

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In the third report from the PRACEdays15 meeting in Dublin, Tom Wilkie from Scientific Computing World discusses how supercomputing can be made simpler for smaller companies.

Video: How Seagate Collaborates with LANL on HPC

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In this video, Kyle Lamb from the Infrastructure Team at Los Alamos National Lab describes the unique challenges he faces at a facility known for being at the forefront of technology. Kyle addresses the future of storage for High Performance Computing and the ways LANL is partnering with Seagate to tackle the changes on the horizon.

Call for Presentations: LAD’15 in Paris

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EOFS and OpenSFS have issued their Call for Participation for the LAD’15 event, which takes place Sept. 22-23 in Paris, France.

Top HPC Centers Meet in Barcelona at JLESC

JLESC 2015: 3rd Joint Laboratory for Extreme-Scale Computing

Top researchers from six of the largest supercomputing centers got together in Barcelona at the beginning of this month for the Joint Laboratory for Extreme‐Scale Computing (JLESC) to discuss the challenges for future supercomputers.

Podcast: Supercomputing Flood Maps Using the Titan Supercomputer

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In this NPR podcast, Dag Lohmann describes how his startup company called KatRisk is using the Titan supercomputer at ORNL to create detailed flood maps for use by insurance companies.

Job of the Week: HPC Solutions Architect at VMware

VMware

VMware is seeking an HPC Solutions Architect in our Job of the Week.

Researchers Build Memcomputing Prototype

Simplified schematic of the memprocessor architecture used in this work to solve the SSP.

Over at Scientific Advances, a newly published paper describes a new high-efficiency computing paradigm called memcomputing. Modeled after the human brain, a memprocessor processes and stores information within the same units by means of their mutual interactions. Now, researchers have built a working prototype.

Video: Algorithms for Extreme-Scale Systems

Bill Gropp

Bill Gropp from the University of Illinois at Urbana-Champaign presented this talk at the Blue Waters Symposium. “The large number of nodes and cores in extreme scale systems requires rethinking all aspects of algorithms, especially for load balancing and for latency hiding. In this project, I am looking at the use of nonblocking collective routines in Krylov methods, the use of speculation and large memory in graph algorithms, the use of locality-sensitive thread scheduling for better load balancing, and model-guided communication aggregation to reduce overall communication costs. This talk will discuss some current results and future plans, and possibilities for collaboration in evaluating some of these approaches.”

Bringing ARM to the Student Cluster Competition

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Over at the ISC Blog, Luna Backes writes that her Mont-Blanc Climbers Team is looking forward to building the first ARM-based cluster ever at the upcoming ISC Student Cluster Competition.