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Scaling Deep Learning for Scientific Workloads on the #1 Summit Supercomputer

Jack Wells from ORNL gave this talk at the GPU Technology Conference. “HPC centers have been traditionally configured for simulation workloads, but deep learning has been increasingly applied alongside simulation on scientific datasets. These frameworks do not always fit well with job schedulers, large parallel file systems, and MPI backends. We’ll share benchmarks between native compiled versus containers on Power systems, like Summit, as well as best practices for deploying learning and models on HPC resources on scientific workflows.”

Spectra Swarm Brings Ethernet Connectivity to LTO Tape Libraries

Today Spectra Logic announced enhancements to its family of tape libraries that help end users simplify and enhance their workflows. With the introduction of Spectra Swarm ethernet connectivity, the company makes tape connectivity easier and adds a modern interface to LTO tape libraries by leveraging all of the same infrastructure and networking capabilities as the rest of the equipment in a modern data center. Spectra Swarm is tested and qualified to work with Spectra LTO tape libraries — Spectra Stack through Spectra T950.

Big Compute Podcast: Accelerating HPC Workflows with AI

In this Big Compute Podcast, Gabriel Broner from Rescale and Dave Turek from IBM discuss how AI enables the acceleration of HPC workflows. “HPC can benefit from AI techniques. One area of opportunity is to augment what people do in preparing simulations, analyzing results and deciding what simulation to run next. Another opportunity exists when we take a step back and analyze whether we can use AI techniques instead of simulations to solve the problem. We should think about AI as increasing the toolbox HPC users have.”

Video: IBM Powers Ai at the GPU Technology Conference

In this video from the GPU Technology Conference, Sumit Gupta from IBM describes how IBM is powering production-level Ai and Machine Learning. “IBM PowerAI provides the easiest on-ramp for enterprise deep learning. PowerAI helped users break deep learning training benchmarks AlexNet and VGGNet thanks to the world’s only CPU-to-GPU NVIDIA NVLink interface. See how new feature development and performance optimizations will advance the future of deep learning in the next twelve months, including NVIDIA NVLink 2.0, leaps in distributed training, and tools that make it easier to create the next deep learning breakthrough.”

Calista Redmond named CEO of RISC-V Foundation

Today the RISC-V Foundation announced that Calista Redmond has been appointed Chief Executive Officer (CEO), effective immediately. I’ve always understood the potential short- and long-term impact of the RISC-V license-free ISA on the open source community. Having spent a lot of my career working in the open source ecosystem, I’m excited to help RISC-V grow and deliver on the Foundation’s mission of paving the way for the next 50 years of computing design and innovation,” said Redmond, CEO of the RISC-V Foundation.”

Video: Benchmarking Performance with Quantum Volume

“At the 2019 American Physical Society March Meeting, IBM unveiled a new scientific milestone, announcing its highest quantum volume to date. Quantum Volume is a measurement, a procedure developed by IBM, that determines how powerful a quantum computer is, accounting for both gate and measurement errors, device cross talk, as well as device connectivity and circuit compiler efficiency. It follows that the higher the Quantum Volume, the more real-world, complex problems quantum computers can potentially solve, such as simulating chemistry, modeling financial risk, and supply chain optimization.”

Video: Sierra – Science Unleashed

Rob Neely from LLNL gave this talk at the Stanford HPC Conference. “This talk will give an overview of the Sierra supercomputer and some of the early science results it has enabled. Sierra is an IBM system harnessing the power of over 17,000 NVIDIA Volta GPUs recently deployed at Lawrence Livermore National Laboratory and is currently ranked as the #2 system on the Top500. Before being turned over for use in the classified mission, Sierra spent months in an “open science campaign” where we got an early glimpse at some of the truly game-changing science this system will unleash – selected results of which will be presented.”

Video: The State of Quantum Computing in 2019

In this video from the IBM Think conference, Anthony J. Annunziata leads a panel discussion on the State of Quantum Computing in 2019. “Since launching the world’s first quantum cloud service in 2016, IBM has been at the forefront of advancing the quantum industry and making this exciting technology accessible to organizations worldwide. Get a firsthand update from two of IBM’s quantum executives on how this area is rapidly moving forward and what’s next on the horizon.”

IBM Research Ai Hardware Center to Drive Next-Generation AI Chips

Today IBM announced an ambitious plan to create a global research hub to develop next-generation AI hardware and expand their joint research efforts in nanotechnology. As part of a $3 billion commitment, the IBM Research AI Hardware Center will be the nucleus of a new ecosystem of research and commercial partners collaborating with IBM researchers to further accelerate the development of AI-optimized hardware innovations.

NVIDIA CEO Jensen Huang to Keynote World’s Premier AI Conference

NVIDIA founder and CEO Jensen Huang will deliver the opening keynote address at the 10th annual GPU Technology Conference, being held March 17-21, in San Jose, Calif. “If you’re interested in AI, there’s no better place in the world to connect to a broad spectrum of developers and decision makers than GTC Silicon Valley,” said Greg Estes, vice president of developer programs at NVIDIA. “This event has grown tenfold in 10 years for a reason — it’s where experts from academia, Fortune 500 enterprises and the public sector share their latest work furthering AI and other advanced technologies.”