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Job of the Week: Data Scientist at Booz Allen

Booz Allen is seeking a Data Scientist in our Job of the Week. “We have an opportunity for you to use your analytical skills to improve geospatial intelligence. You’ll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You’ll explore data from various sources, discover patterns and previously hidden insights to address business problems, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in geospatial intelligence.”

DDN to showcase World’s Fastest Storage and more at SC18

Today DDN announced it will showcase a number of new innovations optimized for HPC, AI and hybrid cloud at SC18 in Dallas. Designed, optimized and right-sized for commercial HPC, AI, deep learning (DL), and exascale computing, DDN’s new products and solutions are fully integrated for any data-at-scale need. “DDN continues to advance powerful new storage solutions, and we’re excited to see its latest offerings at SC18 next week.”

vScaler Cloud Adopts RAPIDS Open Source Software for Accelerated Data Science

vScaler has incorporated NVIDIA’s new RAPIDS open source software into its cloud platform for on-premise, hybrid, and multi-cloud environments. Deployable via its own Docker container in the vScaler Cloud management portal, the RAPIDS suite of software libraries gives users the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. “The new RAPIDS library offers Python interfaces which will leverage the NVIDIA CUDA platform for acceleration across one or multiple GPUs. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes.”

UH Data Science Institute Receives $10 Million Boost from HPE

The University of Houston has announced a new collaboration with HPE today, including a $10 million gift from HPE to the University. The gift from HPE will benefit the University’s Data Science Institute and include funding for a scholarship endowment, as well as both funding and equipment to enhance data science research activities.

Call for Papers: MSST Storage Conference in Santa Clara

The 2019 Mass Storage MSST conference has issued its Call for Papers. “MSST 2019 will focus on distributed storage system technologies, including persistent memory, new memory technologies, long-term data retention (tape, optical disks…), solid state storage (flash, MRAM, RRAM…), software-defined storage, OS- and file-system technologies, cloud storage, big data, and data centers (private and public). The conference will also put the spotlight on current challenges and future trends in storage technologies.”

MERIL-2 Project Launches Tool for Mapping Research Infrastructure in Europe

Today the European Commission MERIL-2 project introduced a new Data Visualization tool that allows users to discover all of the European research infrastructures in the MERIL database interactively. With the new tool, users can quickly see and explore data on the European research landscape, such as RI size and location, user profiles, and research capabilities of over 1,000 research facilities across the continent.

Codeplay Releases First Fully-Conformant SYCL 1.2.1 Solution for C++

SYCL is an open standard developed by the Khronos Group that enables developers to write code for heterogeneous systems using standard C++. Developers are looking at how they can accelerate their applications without having to write optimized processor specific code. SYCL is the industry standard for C++ acceleration, giving developers a platform to write high-performance code in standard C++, unlocking the performance of accelerators and specialized processors from companies such as AMD, Intel, Renesas, and Arm.

Handling and Processing Data from the Cherenkov Telescope Array

Etienne Lyard from the University of Geneva, Switzerland presents: Handling and Processing Data from the Cherenkov Telescope Array.
gave this talk at PASC18. “The Cherenkov Telescope Array (CTA) will be the world’s largest and most sensitive high-energy gamma-ray observatory. Composed of more than 100 telescopes of different sizes between 4 and 23 meters in diameter, it will operate from two separate sites in Chile and at the Canary Islands. It will generate up to 10PB of raw data per year that will be stored in a distributed archive. This talk will outline the current status, plans and challenges that we face to implement the analysis and data  pipeline of CTA.”

PASC18 Panel Discussion Big Data vs. Fast Computation

“The panelists will discuss the critical challenges facing key HPC application areas in the next 5-10 years, based on a mix of knowledge and speculation. They will explore whether we need to make radical changes to our practices, methods, tools, and techniques to be able to use modern resources and make faster and bigger progress on our scientific problems.”

Julia 1.0 release Opens the Doors for a Connected World

Today Julia Computing announced the Julia 1.0 programming language release. As the first complete, reliable, stable and forward-compatible Julia release, version 1.0 is the fastest, simplest and most productive open-source programming language for scientific, numeric and mathematical computing. “During the last six and a half years, Julia has reached more than 2 million downloads and early adopters have already put Julia into production to power self-driving cars, robots, 3D printers and applications in precision medicine, augmented reality, genomics, energy trading, machine learning, financial risk management and space mission planning.”