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Lenovo Takes the TOP500 with Liquid Cooling at ISC 2018

In this video from ISC 2018, Rick Koopman from Lenovo describes the company’s latest HPC innovations including their new Neptune liquid cooling technology. Lenovo is the world’s largest TOP500 supercomputing provider measured by the number of systems ranked on the TOP500 list. 117 of the 500 most powerful supercomputers included in the TOP500 are Lenovo installations, meaning nearly one out of every four systems (23.4 percent) on the prestigious list is a Lenovo solution.

PASC18 Panel Discussion Big Data vs. Fast Computation

“The panelists will discuss the critical challenges facing key HPC application areas in the next 5-10 years, based on a mix of knowledge and speculation. They will explore whether we need to make radical changes to our practices, methods, tools, and techniques to be able to use modern resources and make faster and bigger progress on our scientific problems.”

There’s still Time to register for HPC User Forum in Detroit – Agenda targets AI, Autonomous Cars, & Sensor Networks

There’s still Time to register for HPC User Forum in Detroit. The meeting takes place September 4-6 in Dearborn, Michigan. Key topics include AI and other advanced analytics, automated driving systems a.k.a. self-driving vehicles, additive manufacturing and HPC in clouds (and outer space!). “If AI is in your crosshairs, you won’t want to miss the next HPC User Forum in Dearborn, Michigan. Aside from tackling leadership computing initiatives in the U.S. and around the world, the meeting will zero in on artificial intelligence use cases on prem and in the cloud, especially self-driving vehicle development and urban sensor networks.”

The Rigetti 128-qubit chip — What it means for quantum

Chad Rigetti writes that his company is building a 128-qubit quantum computer over the next 12 months. The company has already built the 128-qubit processing chip. If successful, it could be the world’s most powerful quantum computer and it could have the chance to outpace traditional supercomputers. “To drive practical use of quantum computing today, we must be able to scale and improve the performance of the chips and connect them to the electronics on which they run — which has proven to be one of the most challenging aspects of quantum computing.”

Dr. Eng Lim Goh presents: Prediction – Use Science or History?

Dr. Eng Lim Goh from HPE gave this keynote talk at PASC18. “Traditionally, scientific laws have been applied deductively – from predicting the performance of a pacemaker before implant, downforce of a Formula 1 car, pricing of derivatives in finance or the motion of planets for a trip to Mars. With Artificial Intelligence, we are starting to also use the data-intensive inductive approach, enabled by the re-emergence of Machine Learning which has been fueled by decades of accumulated data.”

Video: New Cascade Lake Xeons to Speed Ai with Intel Deep Learning Boost

This week at the Data-Centric Innovation Summit, Intel laid out their near-term Xeon roadmap and plans to augment their AVX-512 instruction set to boost machine learning performance. “This dramatic performance improvement and efficiency – up to twice as fast as the current generation – is delivered by using a single instruction to handle INT8 convolutions for deep learning inference workloads which required three separate AVX-512 instructions in previous generation processors.”

Thierry Pellegrino on What’s New at the Dell HPC Community

In this video from the Dell EMC HPC Community Meeting, VP Thierry Pellegrino describes how AI and HPC are coming together to foster innovation. “The newly announced Dell EMC Ready Solutions for AI were built to simplify Machine Learning, deliver faster, deeper insights, and leverage Dell EMC’s proven AI expertise. Organizations no longer have to individually source and piece together their own solutions. Instead, they can rely on a Dell EMC-designed and validated set of best-of-breed technologies for software – including AI frameworks and libraries – with compute, networking and storage.”

David Bader on Real World Challenges for Big Data Analytics

In this video from PASC18, David Bader from Georgia Tech summarizes his keynote talk on Big Data Analytics. “Emerging real-world graph problems include: detecting and preventing disease in human populations; revealing community structure in large social networks; and improving the resilience of the electric power grid. Unlike traditional applications in computational science and engineering, solving these social problems at scale often raises new challenges because of the sparsity and lack of locality in the data, the need for research on scalable algorithms, and development of frameworks for solving these real-world problems on high performance computers.”

Dell EMC Accelerates Artificial Intelligence Adoption for Digital Transformation

Today Dell EMC announced new Ready Solutions for AI. With specialized designs for Machine Learning with Hadoop and Deep Learning with NVIDIA, the Dell EMC Ready Solutions simplify AI environments, deliver faster, deeper insights than the competition1, and leverage Dell EMC’s proven expertise to help organizations realize the full potential of AI. “What we’re announcing today allows customers at any scale to start seeing better business outcomes and positions them for AI’s increasingly important role in the future.”

Machine Learning with Python: Distributed Training and Data Resources on Blue Waters

Aaron Saxton from NCSA gave this talk at the Blue Waters Symposium. “Blue Waters currently supports TensorFlow 1.3, PyTorch 0.3.0 and we hope to support CNTK and Horovod in the near future. This tutorial will go over the minimum ingredients needed to do distributed training on Blue Waters with these packages. What’s more, we also maintain an ImageNet data set to help researchers get started training CNN models. I will review the process by which a user can get access to this data set.”