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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.”

Podcast: ExaStar Project Seeks Answers in Cosmos

In this podcast, Daniel Kasen from LBNL and Bronson Messer of ORNL discuss advancing cosmology through EXASTAR, part of the Exascale Computing Project. “We want to figure out how space and time get warped by gravitational waves, how neutrinos and other subatomic particles were produced in these explosions, and how they sort of lead us down to a chain of events that finally produced us.”

Podcast: Who will benefit from Intel dropping Omni-Path?

In this podcast, the Radio Free HPC team takes a close look at the history of High Performance Interconnects, recent news, and how the market is changing profoundly. “The departure of Intel from this segment is good news for some, and it remains to be seen what strategy Intel will adopt for the HPC market.”

Podcast: Supercomputing and Sensors at ARL

In this podcast from the Army Research Laboratory, lab director Dr. Phil Perconti and computer scientist Ross Adelman discuss future of supercomputing and sensors. “Imagine having a complete understanding of what’s inside a building without having to step inside. That’s the kind of thing that scientists and engineers at the U.S. Army CCDC Research Laboratory are working on using research into low-frequency imaging sensors and supercomputers.”

Podcast: Is Our Future Liquid Cooled?

In this podcast, the Radio Free HPC team looks at the growing trend of liquid cooling in the datacenter. “The new VSC-4 system built by Lenovo checks in at #82 on the TOP500 list and is liquid cooled, leading to a debate on the future of cooling and various forms of liquid-cooling: direct contact, immersion, and phase change.”

DAOS: Scale-Out Software-Defined Storage for HPC/Big Data/AI Convergence

As an all-new parallel file system, DAOS will be a key component of the the upcoming Aurora supercomputer coming to Argonne National Laboratory in 2021. “DAOS is an open source software-defined scale-out object store that provides high bandwidth, low latency, and high I/O operations per second (IOPS) storage containers to HPC applications. It enables next-generation data-centric workflows that combine simulation, data analytics, and AI.”

Podcast: Is Cloud too expensive for HPC?

Is Cloud too expensive for HPC? Enquiring minds want to know, as does the HPC community whose single-minded obsession with maximum price-performance is notorious and legendary. The Radio Free team looks at actual cloud pricing based on available data and Dan’s research which fuel a hearty discussion. They look at configurations, compare prices, talk about the costs that are not included, segment the market, and then segment the applications.

Podcast: Quantum Applications are Always Hybrid

In this podcast, the Radio Free HPC team looks at inherently hybrid nature of quantum computing applications. “If you’re always going to have to mix classical code with quantum code then you need an environment that is built for that workflow, and thus we see a lot of attention given to that in the QIS (Quantum Information Science) area. This is reminiscent of OpenGL for graphics accelerators and OpenCL/CUDA for compute accelerators.”

Podcast: How Exascale Computing Could Help Boost Energy Production

In this podcast, Tom Evans, technical lead for ECP’s Energy Applications projects, shares about the motivations, progress, and aspirations on the path to the exascale. “Evans describes the unprecedented calculations expected at the exascale, the example of taking wind energy simulations much further, and the movement toward the use of more-general-purpose programming tools.”

Podcast: HPC Market Eyes $44B in 5 Years

In this podcast, the Radio Free HPC team looks at a new projections from Hyperion Research that has the HPC+AI market growing to $44B, in 5 years. “The industry is hitting on all cylinders, benefiting from the Exascale race, AI coming to the enterprise, and it’s customary slow but always steady growth. The big news continues to be AI fundamentally bringing HPC closer to the mainstream of enterprise computing whether it is on-prem, in a co-location facility, or in a public cloud.”