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Radio Free HPC Looks at New HPC Power & Cooling Technologies

In this podcast, the Radio Free HPC team looks at some interesting new developments in HPC Power & Cooling including: the Solar-Powered Hikari Supercomputer at TACC that is demonstrating the advantages HVDC racks. Plus, Aquila’s new OCP Server Platform has an innovative, fan-less design based on liquid cooling technology from Clustered Systems that supports up to 100 Kw per rack.

Podcast: Solar-Powered Hikari Supercomputer at TACC Demonstrates HVDC Efficiencies

Engineers of the Hikari HVDC power feeding system predict it will save 15 percent compared to conventional systems. “The 380 volt design reduces the number of power conversions when compared to AC voltage systems,” said James Stark, director of Engineering and Construction at the Electronic Environments Corporation (EEC), a Division of NTT FACILITIES. “What’s interesting about that,” Stark added, “is the computers themselves – the supercomputer, the blade servers, cooling units, and lighting – are really all designed to run on DC voltage. By supplying 380 volts DC to Hikari instead of having an AC supply with conversion steps, it just makes a lot more sense. That’s really the largest technical innovation.”

Slidecast: For AMD, It’s Time to ROCm!

“AMD has been away from the HPC space for a while, but now they are coming back in a big way with an open software approach to GPU computing. The Radeon Open Compute Platform (ROCm) was born from the Boltzmann Initiative announced last year at SC15. Now available on GitHub, the ROCm Platform bringing a rich foundation to advanced computing by better integrating the CPU and GPU to solve real-world problems.”

Podcast: How PyLadies are Increasing Diversity in Coding and Data Science

In this Intel Chip Chat podcast, Dr. Julie Krugler Hollek, co-organizer of PyLadies San Francisco and Data Scientist at Twitter, joins Allyson Klein to discuss efforts to democratize participation in open source communities and the future of data science. “PyLadies helps people who identify as women become participants in open source Python projects like The SciPy Stack, a specification that provides access to machine learning and data visualization tools.”

Radio Free Looks at Exascale Application Challenges in the Wake of XSEDE 2.0 Funding

In this podcast, the Radio Free HPC team discusses the recent news that Intel has sold its controlling stake in McAfee and that NSF has funded the next generation of XSEDE.

Radio Free HPC Previews the HPC User Forum & StartupHPC Events

In this podcast, the Radio Free HPC team previews the HPC User Forum & StartupHPC Events coming up in the Fall of 2016.

Radio Free HPC Looks at Alternative Processors for High Performance Computing

In this podcast, the Radio Free HPC team looks at why it’s so difficult for new processor architectures to gain traction in HPC and the datacenter. Plus, we introduce a new regular feature for our show: The Catch of the Week.

Radio Free HPC Looks at IDF 2016

In this podcast, the Radio Free HPC team reviews the recent 2016 Intel Developer Forum. “How will Intel return to growth in the face of a declining PC market? At IDF, they put the spotlight on IoT and Machine Learning. With new threats rising from the likes of AMD and Nvidia, will Chipzilla make the right moves? Tune in to find out.”

Podcast: Supercomputing Better Soybeans

In this TACC Podcast, Researchers describe how XSEDE supercomputing resources are helping them grow a better soybean through the SoyKB project based from the University of Missouri-Columbia. “The way resequencing is conducted is to chop the genome in many small pieces and see the many, many combinations of small pieces,” said Xu. “The data are huge, millions of fragments mapped to a reference. That’s actually a very time consuming process. Resequencing data analysis takes most of our computing time on XSEDE.”

Podcast: Intel Steps Up to Machine Learning with Nervana Systems Acquisition

In this Intel Chip Chat Podcast, Nidhi Chappell, the Director of Machine Learning Strategy at Intel discusses the company’s planned acquisition of Nervana Systems to further drive Intel’s capabilities in the artificial intelligence (AI) field. “We will apply Nervana’s software expertise to further optimize the Intel Math Kernel Library and its integration into industry standard frameworks. Nervana’s Engine and silicon expertise will advance Intel’s AI portfolio and enhance the deep learning performance and TCO of our Intel Xeon and Intel Xeon Phi processors.”