Podcast: Memory-Driven Computing

In this podcast, HPE Distinguished Technologist Kim Keeton describes the concept of Memory-Driven Computing and how it relates to traditional high performance computing. In terms of application areas, Kim also explains her perspective on blockchain and self-driving cars. “Memory-Driven Computing sets itself apart by giving every processor in a system access to a giant shared pool of memory – a sharp departure from today’s systems where relatively small amounts of memory are tethered to each processor. The resulting inefficiencies limit performance.”

Video: Bridging the Automated Vehicle Gap: Consumer Trust, Technology and Liability

Kristin Kolodge from J.D. Power and Associates gave this talk at the HPC User Forum in Detroit. “With the rapid emergence of new technology in the automotive industry, understanding driver behavior and preferences within the vehicle is more crucial than ever for automakers. For 50 years, J.D. Power has been providing rich automotive consumer insights. Now, J.D. Power will work with HARMAN to go beyond measuring consumer insights to help automakers around the world better measure and understand how their evolving products are satisfying customer needs.”

Video: End to End Needs for Autonomous Vehicles

Norm Marks from NVIDIA gave this talk at the HPC User Forum. “Fueled by advances in artificial intelligence, cars are getting smart enough to begin to drive themselves. But autonomous vehicles will do more than change how we get around. They have the potential to dramatically reduce the number of car crashes, shrink carbon emissions, and provide mobility to people who can’t drive.”

Julia 1.0 release Opens the Doors for a Connected World

Today Julia Computing announced the Julia 1.0 programming language release. As the first complete, reliable, stable and forward-compatible Julia release, version 1.0 is the fastest, simplest and most productive open-source programming language for scientific, numeric and mathematical computing. “During the last six and a half years, Julia has reached more than 2 million downloads and early adopters have already put Julia into production to power self-driving cars, robots, 3D printers and applications in precision medicine, augmented reality, genomics, energy trading, machine learning, financial risk management and space mission planning.”

Podcast: Bill Dally from NVIDIA on What’s Next for AI

“NVIDIA researchers are gearing up to present 19 accepted papers and posters, seven of them during speaking sessions, at the annual Computer Vision and Pattern Recognition conference next week in Salt Lake City, Utah. Joining us to discuss some of what’s being presented at CVPR, and to share his perspective on the world of deep learning and AI in general is one of the pillars of the computer science world, Bill Dally, chief scientist at NVIDIA.”

Quantum Storage Solutions Power Self-driving Cars for AutonomouStuff

Today Quantum Corporation named AutonomouStuff LLC as its primary partner for storage distribution in the automotive market, enabling them to deliver Quantum’s comprehensive end-to-end storage solutions for both in-vehicle and data center environments. “Autonomous research generates an enormous volume of data which is vital to achieving the goal of a safe autonomous vehicle,” said Bobby Hambrick, founder and CEO of AutonomouStuff. “Quantum multitier data storage kits powered by StorNext offer a highly scalable and economical solution to the data dilemma researchers face.”

Radio Free HPC Looks at AI Ethics and a Tale of Henry’s Super Heroism

In this podcast, the Radio Free HPC team learns about Henry’s first exploit as an Ethical Superhero. “After witnessing a hit-and-run fender bender, Henry confronted the culprit and ensured that the miscreant left a note on the victim’s windshield. And while we applaud Henry for his heroism, we are also very grateful that he was not shot in the process. This tale leads us into a discussion of AI ethics and how we won’t have this problem in the coming era of self-driving cars.”

Supercomputing Transportation System Data using TACC’s Rustler

Over at TACC, Faith Singer-Villalobos writes that researchers are using the Rustler supercomputer to tackle Big Data from self-driving connected vehicles (CVs). “The volume and complexity of CV data are tremendous and present a big data challenge for the transportation research community,” said Natalia Ruiz-Juri, a research associate with The University of Texas at Austin’s Center for Transportation Research. While there is uncertainty in the characteristics of the data that will eventually be available, the ability to efficiently explore existing datasets is paramount.

Podcast: Intel Doubles Down on Artificial Intelligence

In this Chip Chat podcast, Diane Bryant, EVP/GM for the Data Center Group at Intel, discusses how the company is driving the future of artificial intelligence by delivering breakthrough performance from best-in-class silicon, democratizing access to technology, and fostering beneficial uses of AI. Bryant also outlines her vision for AI’s ability to fundamentally transform the way businesses operate and people engage with the world. In a blog Krzanich said: “Intel is uniquely capable of enabling and accelerating the promise of AI. Intel is committed to AI and is making major investments in technology and developer resources to advance AI for business and society.”

Radio Free HPC Reviews the SC16 Student Cluster Competition Configurations & Results

In this podcast, the Radio Free HPC team reviews the results from SC16 Student Cluster Competition. “This year, the advent of clusters with the new Nvidia Tesla P100 GPUs made a huge impact, nearly tripling the Linpack record for the competition. For the first-time ever, the team that won top honors also won the award for achieving highest performance for the Linpack benchmark application. The team “SwanGeese” is from the University of Science and Technology of China. In traditional Chinese culture, the rare Swan Goose stands for teamwork, perseverance and bravery.”