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Behind the Curtain of Backblaze Hard Drive Stats

In this video from the MSST 2017 Mass Storage Conference, Andrew Klein from Backblaze shares the results from their latest disk drive reliability study. “For the last four years, Backblaze has collected and reported on the failure rates and SMART stats of the hard drives in use in our data centers. Currently we have over 80,000 drives ranging from 3 to 8TB. Let’s take a look at what we learned over the years about hard drives, including failure rates, by model, and the ability to predict drive failure before it happens.”

Radio Free HPC Looks at the TPU2 TensorFlow Processing Unit

In this podcast, the Radio Free HPC team looks at the announcements coming from Google IO conference. Of particular interest was their second-generation TensorFlow Processing Unit (TPU2). We’ve also got news on the new OS/2 operating system, Quantum Computing, and the new Emerging Woman Leader in Technical Computing Award.

Radio Free HPC Looks at the New Volta GPUs for HPC & AI

In this podcast, the Radio Free HPC team looks at Volta, Nvidia’s new GPU architecture that delivers up to 5x the performance of its predecessor. “At the GPU Technology Conference, Nvidia CEO Jen-Hsun Huang introduced a lineup of new Volta-based AI supercomputers including a powerful new version of our DGX-1 deep learning appliance; announced the Isaac robot-training simulator; unveiled the NVIDIA GPU Cloud platform, giving developers access to the latest, optimized deep learning frameworks; and unveiled a partnership with Toyota to help build a new generation of autonomous vehicles.”

Podcast: Marc Hamilton on how Volta GPUs will Power Next-Generation HPC and AI

In this podcast, Marc Hamilton from Nvidia describes how the new Volta GPUs will power the next generation of systems for HPC and AI. According to Nvidia, the Tesla V100 accelerator is the world’s highest performing parallel processor, designed to power the most computationally intensive HPC, AI, and graphics workloads.

Radio Free HPC Reviews the ASC17 Student Cluster Competition

In this podcast, the Radio Free HPC team reviews the results from the ASC17 Student Cluster Competition finals in Wuxi, China. “As the world’s largest supercomputing competition, ASC17 received applications from 230 universities around the world, 20 of which got through to the final round held this week at the National Supercomputing Center in Wuxi after the qualifying rounds. During the final round, the university student teams were required to independently design a supercomputing system under the precondition of a limited 3000W power consumption.”

Leaping Forward in Energy Efficiency with the DOME 64-bit μDataCenter

In this slidecast, Ronald P. Luijten from IBM Research in Zurich presents: DOME 64-bit μDataCenter. “I like to call it a data­cen­ter in a shoe­box. With the com­bi­na­tion of power and ener­gy ef­fi­cien­cy, we be­lieve the mi­cro­serv­er will be of in­te­rest be­yond the DOME pro­ject, par­tic­u­lar­ly for cloud data centers and Big Data ana­ly­tics ap­pli­ca­tions.”

Podcast: PortHadoop Speeds Data Movement for Science

In this TACC Podcast, host Jorge Salazar interviews Xian-He Sun, Distinguished Professor of Computer Science at the Illinois Institute of Technology. Computer Scientists working in his group are bridging the file system gap with a cross-platform Hadoop reader called PortHadoop, short for portable Hadoop. “We tested our PortHadoop-R strategy on Chameleon. In fact, the speedup is 15 times faster,” said Xian-He Sun. “It’s quite amazing.”

Slidecast: BXI – Bull eXascale Interconnect

“The interconnect is going to be a key enabling technology for exascale systems. This is why one of the cornerstones of Bull’s exascale program is the development of our own new-generation interconnect. The Bull eXascale Interconnect or BXI introduces a paradigm shift in terms of performance, scalability, efficiency, reliability and quality of service for extreme workloads.”

Radio Free HPC Catches Up with the Exascale Computing Project

In this podcast, the Radio Free HPC team looks at a recent update on the Exascale Computing Project by Paul Messina. “The Exascale Computing Project (ECP) was established with the goals of maximizing the benefits of HPC for the United States and accelerating the development of a capable exascale computing ecosystem.”

Podcast: How AI Can Improve the Diagnosis and Treatment of Diseases

In this AI Podcast, Mark Michalski from the Massachusetts General Hospital Center for Clinical Data Science discusses how AI is being used to advance medicine. “Medicine — particularly radiology and pathology — have become more data-driven. The Massachusetts General Hospital Center for Clinical Data Science — led by Mark Michalski — promises to accelerate that, using AI technologies to spot patterns that can improve the detection, diagnosis and treatment of diseases.”