Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Intel to Host IXPUG eXtreme Performance User Group Sept. 25-28 in Oregon

Intel will host the Intel eXtreme Performance User Group (IXPUG) event Sept. 25-28 in Hillsboro, Oregon. “This IXPUG conference is focused on all aspects of employing and adopting many-core processing technologies and techniques for optimal application execution, including topics that cover system hardware beyond the processor (memory, interconnect, etc.), software tools, programming models, new workloads (visualization, data analytics, machine learning, etc.) and more. The conference will provide an interactive experience focused on key topics associated with high-performance computing, artificial intelligence, data analytics, cloud computing, and more.”

Video: NVIDIA Announces Turing GPUs and CUDA Toolkit 10

Today at SIGGRPAH, NVIDIA announced its newest GPUs based on the new Turing architecture. ”
This fundamentally changes how computer graphics will be done, it’s a step change in realism,” Huang told an audience of more than 1,200 graphics pros gathered at the sleek glass and steel Vancouver Convention Center, which sits across a waterway criss-crossed by cruise ships and seaplanes from the stunning North Shore mountains.

Training Generative Adversarial Models over Distributed Computing Systems

Gul Rukh Khattak from CERN gave this talk at PASC18. “We use a dataset composed of the energy deposition from electron, photons, charged and neutral hadrons in a fine grained digital calorimeter. The training of these models is quite computing intensive, even with the help of GPGPU, and we propose a method to train them over multiple nodes and GPGPU using a standard message passing interface. We report on the scalings of time-to-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.”

Video: Recent Results and Open Problems for Resilience at Scale

In this video from PASC18, Yves Robert from École normale supérieure de Lyon in France presents: Recent Results and Open Problems for Resilience at Scale. “The talk will address the following three questions: (i) fail-stop errors: checkpointing or replication or both? (ii) silent errors: application-specific detectors or plain old trustworthy replication? In terms of workflows: how to avoid checkpointing every task?”

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.”

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.”

Video: Neutrino Telescope Data Management and Analysis

In this video from PASC18, Tessa Carver from the University of Geneva presents: Neutrino Telescope Data Management and Analysis. “We will describe the data flow structure of onsite DAQ to filtered steams for various physics scopes of IceCube and ANTARES and the plans for KM3NeT. The Data formats and data management software will also be described as well as plans for making data public.”

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.”