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Leveraging HPC for Alzheimer’s Research and Beyond

“The National Supercomputing Center supports research projects at the University of Nevada, Las Vegas by providing a full-service supercomputing facility, plus available training and services, to academic and research institutions, government and private industry. NSCEE’s focus is on R&D related to energy, the environment, medical informatics and health care delivery. In this presentation, Lombardo will highlight results from an Alzheimer’s research project and the NSCEE’s new system at the Supernap and how it is being used to advance research for HPC users in both academia/R&D and commercial industry. Lombardo will also highlight two emerging projects; the New School of Medicine and new Technology park.”

Interview: Moving Beyond POSIX with the new MarFS Object Storage Project

“We wanted to get away from the complexity of POSIX for data, yet retain the parts of POSIX that people are used to (metadata manipulation). By divorcing ourselves from the complications of ensuring a completely POSIX data flow, we can massively simplify the data movement and storage mechanisms. MarFS lets us retain the parts of POSIX that users appreciate for data management (chown, chmod, rename, mv, etc) without inheriting the complexity of managing POSIX semantics for data manipulation. By treating the data as essentially immutable, we can leverage the very simple PUT/GET/DELETE semantics of “cloudy” data storage systems to scale out storage with ease.”

X-Stack PI Meeting Showcases Exascale Code

Berkeley Lab recently hosted the fourth annual X-Stack PI event, where X-Stack researchers, facilities teams, application scientists, and developers from national labs, universities, and industry met to share the latest developments in X-Stack application codes. “X-Stack was launched in 2012 by the U.S. Department of Energy’s Advanced Scientific Computing Research program to support the development of exascale software tools, including programming languages and libraries, compilers and runtime systems, that will help programmers handle massive parallelism, data movement, heterogeneity and failures as the scientific community transitions to the next generation of extreme-scale supercomputers.”

Huazhong University of Science Wins ASC16 Student Cluster Challenge

In news from China this week, the Huazhong University of Science has won the ASC16 Student Cluster Challenge. The final round of the competition concluded Friday in Wuhan at the Central China University of Science.

Performing Simulation-Based, Real-time Decision Making with Cloud HPC

Zach Smocha from Rescale presented this talk at the HPC User Forum. “Manor Racing is partnering with San Francisco based Rescale as a key technology provider for its 2016 FIA Formula 1 World Championship challenge. Manor Racing will use Rescale’s cloud high performance computing (HPC) platform to enable trackside simulation on a whole new scale for the team. Working in tandem with Manor Racing’s existing race strategy simulation software, the Rescale cloud HPC platform will enable its engineers to evaluate thousands of simulations and strategies, placing the team to be at the cutting edge of innovative decision making during a Grand Prix weekend. The whole process is executed from a laptop web browser by Rescale’s massively scalable cloud infrastructure and computer environment.”

Mellanox Powers OpenStack Cloud at University of Cambridge

Today Mellanox announced that University of Cambridge has selected Mellanox End-to-End Ethernet interconnect solution including Spectrum SN2700 Ethernet switches, ConnectX-4 Lx NICs and LinkX cables for its OpenStack-based scientific research cloud. This new win has expanded Mellanox’s existing footprint of InfiniBand solution and empowers the UoC to realize its vision of HPC and Cloud convergence through high-speed cloud networks at 25/50/100Gb/s throughput.

HiPEAC Seeks Your Input for the Next Ten Years of Computing

The good folks at the European Network on High Performance and Embedded Architecture and Compilation (HiPEAC) have launched a call for contributions to the 2017 edition of the HiPEAC Vision, which will set out the way forward for computing systems over the next ten years. “Published every two years, HiPEAC’s definitive roadmap provides guidance for policy makers and technologists on key issues in the area of computing systems, such as security, reliability and energy efficiency.”

Video: HPC Trends from the Trenches at Bio-IT World

In this video, Chris Dagdigian from Bioteam delivers his annual assessment of the best, the worthwhile, and the most overhyped information technologies for life sciences at the 2016 Bio-IT World Conference & Expo in Boston. “The presentation tries to recap the prior year by discussing what has changed (or not) around infrastructure, storage, computing, and networks. This presentation will help scientists, leadership and IT professionals understand the basic topics involved in supporting data intensive science.”

Video: Intel’s Machine Learning Strategy

In this video from the HPC User Forum in Tucson, Gary Paek from Intel presents: Intel’s Machine Learning Strategy. “Earlier this week, Intel announced the inception of the Intel Data Analytics Acceleration Library (Intel DAAL) open source project. Intel DAAL helps to speed up big data analysis by providing highly optimized algorithmic building blocks for all stages of data analytics (preprocessing, transformation, analysis, modeling, validation, and decision making) in batch, online, and distributed processing modes of computation.”

Job of the Week: HPC Application Performance Engineer at Mellanox

Mellanox is seeking an HPC Application Performance Engineer in our Job of the Week. “Mellanox Technologies is looking for a talented engineer to lead datacenter application performance optimization and benchmarking over Mellanox networking products. This individual will primarily work with marketing and engineering to execute low-level and application level benchmarks focused on High Performance Computing (HPC) open source and ISV applications in addition to providing software and hardware optimization recommendations. In addition, this individual will work closely with hardware and software partners, and customers to benchmark Mellanox products under different system configurations and workloads.”