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Call For Proposals: Worldwide GPU Hackathons in 2019

ORNL has issued its Call for Proposals for a set of global GPU Hackathons in 2019. “A GPU hackathon is a 5-day coding event in which teams of developers port their applications to run on GPUs, or optimize their applications that already run on GPUs. Each team consists of three or more developers who are intimately familiar with (some part of) their application, and they work alongside two mentors with GPU programming expertise. The mentors come from universities, national laboratories, supercomputing centers, government institutions, and vendors.”

Reflections on HPC Past, Present, and Future

In this special guest feature, Joe Landman from Scalability.org looks at technology trends that are driving High Performance Computing. “HPC has been moving relentlessly downmarket. Each wave of its motion has a destructive impact upon the old order, and opens up the market wider to more people. All the while growing the market.”

France to Double Supercomputing Capacity with Jean Zay Ai System from HPE

HPE is building a new Ai supercomputer for GENCI in France. Called Jean Zay, the 14 Petaflop system is part of an artificial intelligence initiative called for by President Macron to bolster the nation’s scientific and economic growth. “At Hewlett Packard Enterprise, we continue to fuel the next frontier and unlock discoveries with our end-to-end HPC and AI offerings that hold a strong presence in France and have been further strengthened just in the past couple of years.”

HiPEAC Vision 2019 Looks to the Future of Computing

“Today, the possibilities of an interconnected, heterogeneous and intelligent world are only just beginning to make themselves known. This stunning advancement in digital technology was made possible by ever-increasing performance at ever lower costs. However, physical limits mean we won’t be able to keep shrinking computing components while increasing performance for much longer. So where do we go from here? What are the main challenges and conditions for future developments, and where? The HiPEAC Vision 2019 explores all these questions, and more.”

Video: HPC Containers – Democratizing HPC

In this video from SC18 in Dallas, CJ Newburn from NVIDIA describes how developers can quickly containerize their applications and how users can benefit from running their workloads with containers from the NVIDIA GPU Cloud. “A container essentially creates a self contained environment. Your application lives in that container along with everything the application depends on, so the whole bundle is self contained.”

Job of the Week: System Administrator at D.E. Shaw Research

D.E. Shaw Research is seeking an HPC System Administrator in our Job of the Week. “Exceptional sysadmins sought to manage systems, storage, and network infrastructure for a New York–based interdisciplinary research group. Successful hires will be responsible for our servers and cluster environments. Our research effort is aimed at achieving major scientific advances in the field of biochemistry and fundamentally transforming the process of drug discovery.”

Penguin Computing builds Caviness Cluster for Machine Learning at the University of Delaware

Penguin Computing has deployed a new HPC cluster at the University of Delaware. The Caviness cluster is named in honor of Jane Caviness, former director of Academic Computing Services at the University. “It is great to have our new cluster be named after Jane Caviness, who has played a very important role in establishing high performance computing at University of Delaware.”

NVIDIA and Pure Storage Power Ai for Oncology with PAIGE

The battle against cancer is now being fought at the data level. A new Ai Startup called PAIGE hopes to revolutionize clinical diagnosis and treatment in pathology and oncology through the use of artificial intelligence. “Through its partnership with Igneous, PAIGE will be able to securely and efficiently manage 8 petabytes of unstructured data, including anonymized tumor scan images and clinical notes, as part of an integrated machine learning-based healthcare AI workflow anchored by an industry-leading Pure Storage FlashBlade and NVIDIA GPU compute cluster.”

NVIDIA T4 GPUs Come to Google Cloud for High Speed Machine Learning

Today the Google Cloud announced Public Beta availability of NVIDIA T4 GPUs for Machine Learning workloads. Starting today, NVIDIA T4 GPU instances are available in the U.S. and Europe as well as several other regions across the globe, including Brazil, India, Japan and Singapore. “The T4 is the best GPU in our product portfolio for running inference workloads. Its high-performance characteristics for FP16, INT8, and INT4 allow you to run high-scale inference with flexible accuracy/performance tradeoffs that are not available on any other accelerator.”

Looking Back at SC18 and the Road Ahead to Exascale

In this special guest feature from Scientific Computing World, Robert Roe reports on new technology and 30 years of the US supercomputing conference at SC18 in Dallas. “From our volunteers to our exhibitors to our students and attendees – SC18 was inspirational,” said SC18 general chair Ralph McEldowney. “Whether it was in technical sessions or on the exhibit floor, SC18 inspired people with the best in research, technology, and information sharing.”