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Time to Value: Storage Performance in the Epoch of AI

Sven Oehme gave this talk at the DDN User Group meeting at ISC 2019. “New AI and ML frameworks, advances in computational power (primarily driven by GPU’s), and sophisticated, maturing use-cases are demanding more from the storage platform. Sven will share some of DDN’s recent innovations around performance and talks about how they translate into real-world customer value.”

Video: Verne Global joins NVIDIA DGX-Ready Program as HPC & AI Colocation Partner

In this video, Bob Fletcher from Verne Global describes advantages the HPC cloud provider offers through the NVIDIA DGX Ready Data Center program. “Enterprises and research organizations seeking to leverage the NVIDIA DGX-2 System – the world’s most powerful AI system – now have the option to deploy their AI infrastructure using a cost-effective Op-Ex solution in Verne Global’s HPC-optimized campus in Iceland, which utilizes 100 percent renewable energy and relies on one of the world’s most reliable and affordable power grids.”

Google Cloud and NVIDIA Set New Training Records on MLPerf v0.6 Benchmark

Today the MLPerf effort released results for MLPerf Training v0.6, the second round of results from their machine learning training performance benchmark suite. MLPerf is a consortium of over 40 companies and researchers from leading universities, and the MLPerf benchmark suites are rapidly becoming the industry standard for measuring machine learning performance. “We are creating a common yardstick for training and inference performance,” said Peter Mattson, MLPerf General Chair.

NEC Embraces Open Source Frameworks for SX-Aurora Vector Computing

In this video from ISC 2019, Dr. Erich Focht from NEC Deutschland GmbH describes how the company is embracing open source frameworks for the SX-Aurora TSUBASA Vector Supercomputer. “Until now, with the existing server processing capabilities, developing complex models on graphical information for AI has consumed significant time and host processor cycles. NEC Laboratories has developed the open-source Frovedis framework over the last 10 years, initially for parallel processing in Supercomputers. Now, its efficiencies have been brought to the scalable SX-Aurora vector processor.”

Call for Submissions: Deep Learning on Supercomputers Workshop at SC19

The Deep Learning (DL) on Supercomputers workshop has issued its Call for Submissions. Now in its third year, the workshop will be held with the SC19 conference in Denver on Nov 17. “This third workshop in the Deep Learning on Supercomputers series provides a forum for practitioners working on any and all aspects of DL for scientific research in the High Performance Computing (HPC) context to present their latest research results. The general theme of this workshop series is the intersection of DL and HPC. Its scope encompasses application development in scientific scenarios using HPC platforms; DL methods applied to numerical simulation; fundamental algorithms, enhanced procedures, and software development methods to enable scalable training and inference; hardware changes with impact on future supercomputer design; and machine deployment, performance evaluation, and reproducibility practices for DL applications, with an emphasis on scientific usage.”

IQM Startup in Finland Developing Fault-tolerant Quantum Processor

A new startup called IQM in Finland aims to drive disruptive advancements in quantum computing. A spinout from Aalto University and the VTT Technical Research Centre of Finland, IQM is developing high-speed quantum processors to reduce the error rates currently limiting quantum computers. “IQM’s fault-tolerant quantum processor architecture will open the door for more powerful computationally intensive tasks. The talented team is set to enable a unique quantum cloud offering and ignite a stronger quantum software eco-system in Europe.”

HPE to Build Bridges-2 Supercomputer at PSC

NSF is funding $10 Million for a new supercomputer at the Pittsburgh Supercomputing Center (PSC), a joint research center of Carnegie Mellon University and the University of Pittsburgh. We designed Bridges-2 to drive discoveries that will come from the rapid evolution of research, which increasingly needs new, scalable ways for combining large, complex data with high-performance simulation and modeling.”

3 Ways to Unlock the Power of HPC and AI

A growing number of commercial businesses are implementing HPC solutions to derive actionable business insights, to run higher performance applications and to gain a competitive advantage. Complexities abound as HPC becomes more pervasive across industries and markets, especially as companies adopt, scale, and optimize both HPC and Artificial Intelligence (AI) workloads. Bill Mannel, VP & GM HPC & AI Solutions Segment at Hewlett Packard Enterprise, walks readers through three strategies to ensure HPC and AI success.

Atos announces winners of 2019 Joseph Fourier Award

Today Atos announced the winners of the 2019 Joseph Fourier Award. The award aims to accelerate research and innovation by rewarding projects in the fields of numerical simulation and Artificial Intelligence (AI). “It’s really exciting to see such high-quality projects in the fields of HPC and AI and I’d like to congratulate all the scientists and researchers for their hard work and innovative ideas,” said Sophie Proust, Group CTO at Atos. “At Atos we’re proud to be supporting innovations that will lead to tangible industrial applications.”

Podcast: Why is HPE buying Cray?

In this podcast, the Radio Free HPC team tackles the HPE-Cray acquisition as it reviews the companies’ recent moves, strengths, and market conditions. Hint: part of it has to do with the emergence of AI as a must-do enterprise app and the increasing commonality between supercomputers and enterprise servers.