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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.”

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.”

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.”

HPC Benchmarking Results for Intel Broadwell Processors

Over at the Dell HPC Community Blog, Ashish Kumar Singh, Mayura Deshmukh and Neha Kashyap discuss the performance characterization of Intel Broadwell processors with High Performance LINPACK (HPL) and STREAM benchmarks. “The performance of all Broadwell processor used for this study is higher for both HPL and STREAM benchmarks. “There is ~12% increase in measured memory bandwidth for Broadwell processors compared to Haswell processors. Broadwell processors measure better power efficiencies than the Haswell processors. In conclusion, Broadwell processors may fulfill the demands of more compute power for HPC applications.”

Video: Cloud for the “Missing Middle”

Leo Reiter from Nimbix presented this deck at the HPC User Forum. “Nimbix is a pure high performance computing cloud built for volume, speed and simplicity. We give people the tools and the processing power to solve their biggest, toughest problems. We give you the freedom to imagine new possibilities, to test the limits of reality, and to model the future. For most workloads, Nimbix is far less expensive than building, running and maintaining your own supercomputer. It’s also more efficient at spinning up, executing, completing the job and delivering your results — which saves you time and money. And our user-friendly platform means you invest less in development and infrastructure.”

Hewlett Packard Enterprise Packs 8 GPUs into Apollo 6500 Server

In this video from the 2016 GPU Technology Conference, Greg Schmidt from Hewlett Packard Enterprise describes the new Apollo 6500 server. “With up to eight high performance NVIDIA GPU cards designed for maximum transfer bandwidth, the HPE Apollo 6500 System is purpose-built for deep learning applications. Its high ratio of GPUs to CPUs, dense 4U form factor and efficient design enable organizations to run deep learning recommendation algorithms faster and more efficiently, significantly reducing model training time and accelerating the delivery of real-time results, all while controlling costs.”

How HPE Makes GPUs Easier to Program for Data Scientists

In this video from the 2016 GPU Technology Conference, Rich Friedrich from Hewlett Packard Enterprise describes how the company makes it easier for Data Scientists to program GPUs. “In April, HPE announced a public, open-source version of the platform called the Cognitive Computing Toolkit. Instead of relying on the traditional CPUs that power most computers, the Toolkit runs on graphics processing units (GPUs), inexpensive chips designed for video game applications.”

Why the HPC Industry will Converge on Europe at ISC 2016

In this special guest feature from Scientific Computing World, ISC’s Nages Sieslack highlights a convergence of technologies around HPC, a focus of the ISC High Performance conference, which takes place June 19-23 in Frankfurt. “In addition to the theme of convergent HPC technologies, this year’s conference will also offer two days of sessions in the industry track, specially designed to meet the interests of commercial users. Our focus is Industrie 4.0, a German strategic initiative conceived to take a leading role in pioneering industrial IT, which is currently revolutionizing engineering in the manufacturing sector.”