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GPU-Powered Perlmutter Supercomputer coming to NERSC in 2020

Today NERSC announced plans for Perlmutter, a pre-exascale system to be installed in 2020. With thousands of NVIDIA Tesla GPUs, the system is expected to deliver three times the computational power currently available on the Cori supercomputer at NERSC. “Optimized for science, the supercomputer will support NERSC’s community of more than 7,000 researchers. These scientists rely on high performance computing to build AI models, run complex simulations and perform data analytics. GPUs can speed up all three of these tasks.”

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.”

Job of the Week: Machine Learning Software Engineer at Decisive Analytics

Decisive Analytics Corporation in Virginia is seeking a Machine Learning Software Engineer in our Job of the Week. “We are seeking applicants with strong software development skills, and a keen interest in machine learning to join our team. In this role you will have the opportunity to develop state of the art machine learning algorithms and deploy them in the big data stack of Hadoop, MapReduce, Spark, Storm, Accumulo, and Mongo DB.”

LLNL Unveils NNSA’s Sierra, World’s Third Fastest Supercomputer

Today LLNL unveiled Sierra, one of the world’s fastest supercomputers, at a dedication ceremony to celebrate the system’s completion. “The next frontier of supercomputing lies in artificial intelligence,” said John Kelly, senior vice president, Cognitive Solutions and IBM Research. “IBM’s decades-long partnership with LLNL has allowed us to build Sierra from the ground up with the unique design and architecture needed for applying AI to massive data sets. The tremendous insights researchers are seeing will only accelerate high performance computing for research and business.”

Video: NVIDIA and Red Hat Simplify AI Development and Manageability

In this video, Tony Paikeday from NVIDIA describes how the DGX-1 for Red Hat Enterprise Linux is transforming enterprise computing with the power of Machine Learning. “Red Hat and NVIDIA have a solution with the certification of the NVIDIA DGX-1 for Red Hat Enterprise Linux. The combination enables enterprises to easily plug in and power up the AI supercomputer that has become the essential tool for AI innovators and researchers everywhere. And they can do so with a familiar operating system. In fact, 90 percent of Fortune 500 companies use Red Hat Enterprise Linux in their operations.”

Video: NEC Accelerates Stanford DAWN Project with Vector Computing

Today NEC Corporation announced that it is supporting the Stanford DAWN project, an initiative to simplify the building of AI-powered applications, by providing a cluster of new “SX-Aurora TSUBASA” vector computers for research in the area of Artificial Intelligence. “We are very pleased to support the Stanford DAWN project. We hope to help demonstrate the value of vector computing to the advancement of AI domains,” said Yuichi Nakamura, Vice President, NEC Central Research Laboratories.

Podcast: Quantum Network to Test Unhackable Communications

In this Big Brains podcast, David Awschalom describes how he’s helping to train a new generation of quantum engineers. “The behavior of these tiny pieces is unlike anything we see in our world,” Awschalom said. “If I pull a wagon, you know how it’s going to move. But at the atomic world, things don’t work that way. Wagons can go through walls; wagons can be entangled and share information that is hard to separate.”

Interconnect Your Future: Paving the Road to Exascale

In this slidecast, Gilad Shainer from Mellanox describes how the company’s interconnect solutions power HPC and Ai workloads. “Mellanox is leading industry innovation by providing the highest throughput and lowest latency HDR 200Gb/s InfiniBand and Ethernet solutions available today, with a clear roadmap for tomorrow. Please visit Mellanox Technologies in booth #3207 to see the latest in our industry-leading HDR 200Gb/s InfiniBand and Spectrum Ethernet solutions, and see how Mellanox is already paving the way to Exascale.”

Call for Participation: Stanford HPC Conference in February

Today the HPC-AI Advisory Council announced their Call for Sponsors and Session Proposals for the annual Stanford Conference. The event takes place February 14-15, 2019. “Breakthrough discoveries, research, new technologies and innovation all rely on each other,” said Gilad Shainer, HPC-AI Advisory Council chairman. “AI and HPC domains are dominating continuous change and the Stanford Conference is one of few forums where attendees can rise above the din of hype and learn about all of the above, all in one place and openly share best practices that are key to furthering their efforts.”

Red Hat Powers NVIDIA DGX-1 for Ai Workloads

Today Red Hat announced it is collaborating with NVIDIA to bring a new wave of open innovation around emerging workloads like artificial intelligence, deep learning and data science to enterprise datacenters around the world. “Red Hat Enterprise Linux’s enablement of NVIDIA GPUs on our Sierra supercomputer provides commonality across our systems, greatly facilitating our users’ ability to exploit the world’s third fastest computer,” said Bronis Supinski, CTO of Livermore Computing.