In this podcast, the Radio Free HPC team previews the HPC User Forum & StartupHPC Events coming up in the Fall of 2016.
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.
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.”
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.”
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.”
Is Machine Learning more of a Data Movement problem than a Processing problem? In this podcast, the Radio Free HPC team looks at use cases for Machine Learning where data locality is critical for performance. “Most of the Machine Learning hearing stories we hear involve a central data repository. Henry says he is not hearing enough about how Machine Learning is going to deal with the problem of massive data streams from things like sensors. Such data, he contends, will have to be processed at the source.”
“It’s great to have these incredible servers and incredible processors, but if you don’t have the people to run them – if you don’t have the people that are passionate about supercomputing, we would never get there from here.”Behind all of this magnificent technology are the fantastic faculty, researchers, interns, our corporate partners that are part of this, the National Science Foundation, there are people behind all of the success of the TACC. I think that’s the point we can never forget.”
In this Intel Chip Chat podcast, Alyson Klein and Charlie Wuischpard describe Intel’s investment to break down walls to HPC adoption and move innovation forward by thinking at a system level. “Charlie discusses the announcement of the Intel Xeon Phi processor, which is a foundational element of Intel Scalable System Framework (Intel SSF), as well as Intel Omni-Path Fabric. Charlie also explains that these enhancements will make supercomputing faster, more reliable, and increase efficient power consumption; Intel has achieved this by combining the capabilities of various technologies and optimizing ways for them to work together.”
In this Intel Chip Chat podcast with Allyson Klein, Cray CTO Steve Scott describes the collaboration between Cray and Intel on the Intel Xeon Phi Processor for supercomputer integration. Steve highlights that Cray chose to implement the new Intel Xeon Phi Processor for its supercomputers because of the potential to support a diverse array of customer needs and deliver the best performance per application. He emphasizes that Cray software tools are key to optimizing Intel Xeon Phi processor performance at the system level.
In this slidecast, Alexander Lidow from EPC describes how the company is leading a technological revolution with Gallium Nitride (GaN). More efficient than silicon as a basis for electronics, GaN could save huge amounts of energy in the datacenter and has the potential to fuel the computer industry beyond Moore’s Law. “Due to its superior switching speeds and smaller footprint, Texas Instruments is working with EPC to build a simpler topology that achieves better efficiency with smaller footprints and significantly lower cost.”