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Podcast: Radio Free HPC Runs Down the TOP500

In this podcast, the Radio Free HPC team reviews the new TOP500 list of most powerful supercomputers. “Not much changed in the TOP10 but a lot is changing further down the list. The overwhelming majority of the systems, 478 of them, are based on Intel CPUs. 13 are IBM, and there is 1 system based on Arm provided by Cavium, now part of Marvell.”

Radio Free HPC Looks at the coming wave of 40+ Different AI Chips

In this podcast, the Radio Free HPC Team asks, “What are we going to do with 40+ AI chips?” One such chip, Graphcore, is touted as “the most complex processor” ever at some 20 billion transistors. The VC-backed company out of Bristol, UK is also valued on paper at $1.7b, gaining it the coveted “unicorn” status, apparently the “only western semi-conductor unicorn.”

Radio Free HPC Ponders Amdahl’s Law, GPUs, and the ASC19 Student Cluster Competition

In this podcast, the Radio Free HPC team reviews the results of the ASC19 Student Cluster Competition and HPC workshop in China. “For the first time, a non-mainland-Chinese team wins the top spot. Taiwan takes the gold in part by their stellar performance in HPCG benchmark where they achieved 2 TFlops, some 25% better than the 2nd best team. The system was a 5-node cluster with Infiniband FDR interconnect.”

Podcast: Achieving Low Latency with the SPDK Storage Performance Development Kit

In this Intel Chip Chat podcast, Dr. Felipe Franciosi from Nutanix and Nate Marushak from Intel describe how the open source reference library called SPDK (Storage Performance Development Kit) brings higher performance to the data center. “A decade ago, when slow hard disk drives were the heart of a data center, efficiency was improved by designing software to avoid accessing physical media. Innovations in persistent memory and in networking technology have already brought vast improvements. For systems that are latency-sensitive, applying SPDK can address software bottlenecks and open the way to even higher performance.”

Podcast: Irene Qualters from LANL Shares Life Lessons on HPC and Diversity

In this Big Compute Podcast episode Gabriel Broner interviews Irene Qualters about her career and the evolution of HPC. “Some of the most profound advances that I have seen come from groups of people that have very different perspectives, very different ideas. We have to struggle to collectively bring our different disciplines on our world’s hardest problems, on the world’s most challenging problems.”

Podcast: Astronomers Turn to AI as New Telescopes Come Online

In this AI Podcast, Brant Robertson from UC Santa Cruz describes how astronomers are turning to AI to turn the vast quantities of data that will be pouring out of next-generation telescopes into world-changing scientific discoveries. “Good news: astronomers are getting new tools to let them see further, better than ever before. The bad news: they’ll soon be getting more data than humans can handle.”

Big Compute Podcast: HPC and Genomics to Revolutionize Medicine

In this Big Compute Podcast episode, Gabriel Broner hosts Mark Borodkin, COO of Bionano Genomics, to discuss how genomics and HPC enable doctors and researchers to diagnose complex diseases and prescribe unique personalized treatments based on individual variations of the DNA. “We decided to abstract HPC in the cloud through Rescale and our software. All our customers need to know is that the solution offers the security and performance they need, and they don’t need to learn the new jargon of cloud.”

Radio Free HPC reviews the ASC19 Student Cluster Competition

In this podcast, the Radio Free HPC looks at the recent ASC Student Cluster Competition in Dalien, China. Dan got to witness the finals last week, with 20 teams facing off in a race for HPC performance. “As always, the team, and the rest of humanity, is highly supportive of the student cluster tournaments that take place at SC, ISC, and this Asian one, in addition to many regional supporting events.”

Podcast: Accelerating AI Inference with Intel Deep Learning Boost

In this Chip Chat podcast, Jason Kennedy from Intel describes how Intel Deep Learning Boost works as an embedded AI accelerator in the CPU designed to speed deep learning inference workloads. “The key to Intel DL Boost – and its performance kick – is augmentation of the existing Intel Advanced Vector Extensions 512 (Intel AVX-512) instruction set. This innovation significantly accelerates inference performance for deep learning workloads optimized to use vector neural network instructions (VNNI). Image classification, language translation, object detection, and speech recognition are just a few examples of workloads that can benefit.”

Podcast: Intel to Deliver Exascale for the Advancement of Science

In this Chip Chat podcast, Trish Damkroger from Intel outlines a few of the key technologies coming to the Aurora supercomputer in 2021. To enable Exascale levels of performance, Aurora will be built with a future generation Intel Xeon Scalable processor, the recently announced Intel Xe compute architecture, and Intel Optane DC persistent memory. Built by subcontractor Cray, Aurora will enable ground-breaking science such as precision medicine, climate modeling, weather forecasting, and materials science.