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Podcast: Tackling Massive Scientific Challenges with AI/HPC Convergence

In this Chip Chat podcast, Brandon Draeger from Cray describes the unique needs of HPC customers and how new Intel technologies in Cray systems are helping to deliver improved performance and scalability. “More and more, we are seeing the convergence of AI and HPC – users investigating how they can use AI to complement what they are already doing with their HPC workloads. This includes using machine and deep learning to analyze results from a simulation, or using AI techniques to steer where to take a simulation on the fly.”

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.”

Rigetti Computing acquires QxBranch for Quantum-powered Analytics

Today Rigetti Computing announced it has acquired QxBranch, a quantum computing and data analytics software startup. “Our mission is to deliver the power of quantum computing to our customers and help them solve difficult and valuable problems,” said Chad Rigetti, founder and C.E.O. of Rigetti Computing. “We believe we have the leading hardware platform, and QxBranch is the leader at the application layer. Together we can shorten the timeline to quantum advantage and open up new opportunities for our customers.”

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.

David Bader to Lead New Institute for Data Science at NJIT

Professor David Bader will lead the new Institute for Data Science at the New Jersey Institute of Technology. Focused on cutting-edge interdisciplinary research and development in all areas pertinent to digital data, the institute will bring existing research centers in big data, medical informatics and cybersecurity together to conduct both basic and applied research. “The institute will bring together scientists, engineers and users to develop data-driven technologies and apply them to solve fundamental and real-world problems. Beyond academic research, the institute will interact closely with the outside world to identify and solve important problems in the modern data-driven economy.”

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.”

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.”

Modular Supercomputing Moves Forward in Europe

In this video from ISC 2019, Thomas Lippert from the Jülich Supercomputing Centre describes how modular supercomputing is paving the way forward for HPC in Europe. “The Modular Supercomputer Architecture (MSA) is an innovative approach to build High-Performance Computing (HPC) and High-Performance Data Analytics (HPDA) systems by coupling various compute modules, following a building-block principle. Each module is tailored to the needs of a specific group of applications, and all modules together behave as a single machine.”

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.”