Episodes
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On this episode of “The Interview” with The Next Platform we talk with Heather Ames, a co-founder at bioinspired AI startup, Neurala about the co-evolution of neurology and computing into a range of real-world use cases for AI.
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On today’s episode of “The Interview” with The Next Platform we talk with one of the creators of HPCG, Sandia National Lab’s Dr. Michael Heroux. Interestingly, Heroux co-developed HPCG with one of the founders of the Top 500 LINPACK benchmark, prompting many early on to suggest HPCG was going to compete with the Top500 as the go-to benchmark for the HPC community.
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Missing episodes?
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On today’s episode of “The Interview” with The Next Platform, we discuss the role of higher level interfaces to common machine learning and deep learning frameworks, including Caffe.
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We talk with the iRODS consortium about what the technology and group aims to provide for scientific and enterprise users.
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On today’s episode of “The Interview” with The Next Platform we talk about the growing problem of networks within networks (within networks) and what that means for future algorithms and systems that will support smart cities, smart grids, and other highly complex and interdependent optimization problems.
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Our focus for today will be on stream processing in enterprise and how it has evolved in recent years.
Here to talk about this is Nathan Trueblood, a veteran of companies like Mirantis, Western Digital, EMC, and UC Berkeley who is now VP of product management at DataTorrent—a company of many ex-Yahoo’ers and Hadoopers -
On today’s episode we discuss the state of good old fashioned tape storage in 2018 with long time industry veteran Matt Starr.
Matt’s been at tape giant Spectra Logic for 24 years where he’s seen a great many trends come and go as CTO. Among other things at Spectra he’s served as the lead engineering architect for the design and production of Spectra’s TSeries tape library family, which is still a core product. -
Advances in machine learning are removing some of that time-consuming knob tweaking, according to Tomer Morad who is CEO and co-founder of Concertio. His company has been working on the auto-tunng problem and today we will talk about what it takes to develop smarter system optimization.
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On today’s episode of “The Interview” with The Next Platform we talk with Doug Miles who runs the PGI compilers and tools team at Nvidia about the past, present, and future of OpenACC with an emphasis on what lies ahead in the next release.
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We talk about the evolution of geospatial information systems and how the field is being revolutionized by more sophisticated deep learning and machine learning frameworks.
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On today’s episode of “The Interview” with The Next Platform we talk about the use of petascale supercomputers for training deep learning algorithms. More specifically, how this happening in Astronomy to enable real-time analysis of LIGO detector data.
We are joined by Daniel George, a researcher in the Gravity Group at the National Center for Supercomputing Applications, or NCSA. His team garnered a great deal of attention at the annual supercomputing conference in November with work blending traditional HPC simulation data and deep learning. -
On today’s episode of “The Interview” with The Next Platform, we take a look at the evolution of the NAMD molecular dynamics and how the introduction of GPU computing upended performance expectations and set the stage for new metrics now that the Volta GPU architecture will be available on large supercomputers like the Summit machine coming to Oak Ridge National Lab.
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The Next Platform is proud to announce that former Assistant Dean and Distinguished Engineer for Research Computing at Harvard, Dr. James Cuff, has joined the editorial team in a full-time capacity as Distinguished Technical Author.
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On today's episode we are joined by Matt Reagor, a hardware engineer with Rigetti Computing to talk through quantum memory and quantum computing performance via an interesting--and graspable--analogy.
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On today’s podcast episode of “The Interview” with The Next Platform, we talk with computer architecture researcher Roman Kaplan about the role memristors might play in accelerating common machine learning algorithms like K-means, among others.
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We are joined by Neil Trevett, Vice President of the Developer Ecosystem at Nvidia and President of the Khronos Group, an industry consortium focused on creating open standards for key technology areas. Many recognize this group from work on OpenCL but the groups efforts extend far beyond that—now as far as neural networks.
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On today’s episode of “The Interview” with The Next Platform, we focus on some of the recent quantum computing developments out of Oak Ridge National Lab’s Quantum Computing Institute with the center’s director, Dr. Travis Humble.
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In this episode of The Interview from The Next Platform, we talk with Andrew Jones from independent high performance computing consulting firm, N.A.G. about processor and system acquisition trends in HPC for users at the smaller commercial end of the spectrum up through the large research centers.
