In this Nvidia podcast, Bryan Catanzaro from Baidu describes how machines with Deep Learning capabilities are now better at recognizing objects in images than humans. “AI gets better and better until it kind of disappears into the background,” says Catanzaro — NVIDIA’s head of applied deep learning research — in conversation with host Michael Copeland on this week’s edition of the new AI Podcast. “Once you stop noticing that it’s there because it works so well — that’s when it’s really landed.”
In this podcast, the Radio Free HPC team reviews the results from SC16 Student Cluster Competition. “This year, the advent of clusters with the new Nvidia Tesla P100 GPUs made a huge impact, nearly tripling the Linpack record for the competition. For the first-time ever, the team that won top honors also won the award for achieving highest performance for the Linpack benchmark application. The team “SwanGeese” is from the University of Science and Technology of China. In traditional Chinese culture, the rare Swan Goose stands for teamwork, perseverance and bravery.”
“In the long run, if you need orders of magnitude more bandwidth than is currently available there’s a set of technologies that are sometimes referred to as processor in memory – I call it processor at memory – technologies that involves cheaper processors distributed out to adjacent to the memory chips. Processors are cheaper, simpler, lower power. That could allow a significant reduction in cost to build the systems, which allows you to build them a lot bigger and therefore deliver significantly higher memory bandwidth. That’s a very revolutionary change.”
Scientists have taken the closest look yet at molecule-sized machinery called the human preinitiation complex. It basically opens up DNA so that genes can be copied and turned into proteins. The science team formed from Northwestern University, Berkeley National Laboratory, Georgia State University, and UC Berkeley. They used a cutting-edge technique called cryo-electron microscopy and combined it with supercomputer analysis. They published their results May of 2016 in the journal Nature.
The new TOP500 list is out, and Rad is Free HPC is here podcasting the scoop in their own special way. With two new systems in the TOP10, there are many different perspectives to share. “The Cori supercomputer, a Cray XC40 system installed at Berkeley Lab’s National Energy Research Scientific Computing Center (NERSC), slipped into the number 5 slot with a Linpack rating of 14.0 petaflops. Right behind it at number 6 is the new Oakforest-PACS supercomputer, a Fujitsu PRIMERGY CX1640 M1 cluster, which recorded a Linpack mark of 13.6 petaflops.”
In this podcast, Jason Stowe from Cycle Computing provides an update on the world of HPC in the Cloud. After that, he describes how the company is augmenting its software capabilities so that more users can take advantage of HPC for their toughest computing challenges. “Our CycleCloud V6 further optimizes what is already unique about its predecessor, bringing unmatched scalability, provisioning, and data management in a secure process. We are extremely pleased to bring V6 to market.”
In this slidecast, Gilad Shainer from Mellanox announces the world’s first HDR 200Gb/s data center interconnect solutions. “These 200Gb/s HDR InfiniBand solutions maintain Mellanox’s generation-ahead leadership while enabling customers and users to leverage an open, standards-based technology that maximizes application performance and scalability while minimizing overall data center total cost of ownership. Mellanox 200Gb/s HDR solutions will become generally available in 2017.”
In this slidecast, Tony DeVarco from SGI describes how the company delivers Production Supercomputing for SMEs. “As the trusted leader in high performance computing, SGI helps companies find answers to the world’s biggest challenges. Our commitment to innovation is unwavering and focused on delivering market leading solutions in Technical Computing, Big Data Analytics, and Petascale Storage. Our solutions provide unmatched performance, scalability and efficiency for a broad range of customers.”
In this slidecast, Silicon Mechanics CTO Daniel Chow describes how the company brings value and performance to its HPC customers. “When looking for a leading solutions integrator to couple disparate hardware and software products into a “HPC Built For You” solution, that will keep up with the evolution and disruptive forces in technology – the Experts at Silicon Mechanics are here to help you.”
In this podcast, the Radio Free HPC team previews the ancillary events around SC16 in Salt Lake City. With a full week in store, this could be the best conference yet. After our event roundup, they share their predictions for SC16 total attendance numbers.