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Call for Submissions: Arm Research Summit in Austin

The Arm Research Summit, has issued its Call for Submissions. The event takes place September 15-18 in Austin, Texas. As a one-of-a-kind forum for topics that are shaping our world, the Summit focuses on presentations and discussions, and welcomes research at all stages of development and/or publication. The committee encourages submissions of early-stage, high-impact ideas seeking feedback, new […]

Hyperion Research Launches Cloud Application Assessment Tool

Today Hyperion Research launched a new Cloud Application Assessment Tool. Available free of charge to the public, this tool is an interactive grading system to assess the characteristics of HPC applications to help understand whether they fit better on an on-premise HPC system or are they well suited for running in a public cloud. “By using this tool, end users will be able to see which characteristics of their applications drive or restrict the ability to run them in clouds, and what future improvements in public clouds may make their application fit better in the cloud. It also shows the characteristics that drive certain applications to stay on-premise.”

HPC + Ai: Machine Learning Models in Scientific Computing

Steve Oberlin from NVIDIA gave this talk at the Stanford HPC Conference. “Clearly, AI has benefited greatly from HPC. Now, AI methods and tools are starting to be applied to HPC applications to great effect. This talk will describe an emerging workflow that uses traditional numeric simulation codes to generate synthetic data sets to train machine learning algorithms, then employs the resulting AI models to predict the computed results, often with dramatic gains in efficiency, performance, and even accuracy.”

Finding a Solution for Ai in Government

A new special report from insideHPC, courtesy of Dell EMC and NIVIDa explores current machine learning applications in government. And this excerpt breaks down solutions for AI in government, including Dell EMC Ready Solutions. Dell EMC Ready Solutions for AI are validated hardware and software stacks optimized to accelerate AI initiatives, shortening the time to architect a new solution by six to 12 months.

Video: Container Mythbusters

Michael Jennings from LANL gave this talk at the Stanford HPC Conference. “As containers initially grew to prominence within the greater Linux community, particularly in the hyperscale/cloud and web application space, there was very little information out there about using Linux containers for HPC at all. In this session, we’ll confront this problem head-on by clearing up some common misconceptions about containers, bust some myths born out of misunderstanding and marketing hype alike, and learn how to safely (and securely!) navigate the Linux container landscape with an eye toward what the future holds for containers in HPC and how we can all get there together!”

Python Power: Intel SDK Accelerates Python Development and Execution

It was with one goal – accelerating Python execution performance – that lead to the creation of Intel Distribution for Python, a set of tools designed to provide Python application performance right out of the box, usually with no code changes required. This sponsored post from Intel highlights how Intel SDK can enhance Python development and execution, as Python continues to grow in popularity.

Seeking Seed Money? Creative Destruction Lab offers Incubator Streams for Quantum, Blockchain, and Ai

The Creative Destruction Lab is now accepting applications for their 2019 Quantum Machine Learning and Blockchain-AI Incubator Streams. As a seed-stage program for massively scalable, science-based companies, the mission of the CDL is to enhance the prosperity of humankind. “The CDL Blockchain-AI Incubator Stream is a 10-month incubator program which gives blockchain founders personalized mentorship from blockchain thought leaders, successful tech entrepreneurs, scientists, economists and venture capitalists. Founders are also eligible for up to US$100K in investment, in exchange for equity.”

Video: Introduction to Intel Optane Data Center Persistent Memory

In this video from the 2019 Stanford HPC Conference, Usha Upadhyayula & Tom Krueger from Intel present: Introduction to Intel Optane Data Center Persistent Memory. For decades, developers had to balance data in memory for performance with data in storage for persistence. The emergence of data-intensive applications in various market segments is stretching the existing […]

Designing Convergent HPC and Big Data Software Stacks: An Overview of the HiBD Project

DK Panda from Ohio State University gave this talk at the 2019 Stanford HPC Conference. “This talk will provide an overview of challenges in designing convergent HPC and BigData software stacks on modern HPC clusters. An overview of RDMA-based designs for Hadoop (HDFS, MapReduce, RPC and HBase), Spark, Memcached, Swift, and Kafka using native RDMA support for InfiniBand and RoCE will be presented. Enhanced designs for these components to exploit HPC scheduler (SLURM), parallel file systems (Lustre) and NVM-based in-memory technology will also be presented. Benefits of these designs on various cluster configurations using the publicly available RDMA-enabled packages from the OSU HiBD project will be shown.”

Job of the Week: HPC Systems Administrator at the University of Chicago Center for Research Informatics

The University of Chicago Center for Research Informatics is seeking an HPC Systems Administrator in our Job of the Week. “This position will work with the Lead HPC Systems Administrator to build and maintain the BSD High Performance Computing environment, assist life-sciences researchers to utilize the HPC resources, work with stakeholders and research partners to successfully troubleshoot computational applications, handle customer requests, and respond to suggestions for improvements and enhancements from end-users.”