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Video: Diversity and Inclusion in Supercomputing

Dr. Maria Klawe gave this Invited Talk at SC16. “Like many other computing research areas, women and other minority groups are significantly under-represented in supercomputing. This talk discusses successful strategies for significantly increasing the number of women and students of color majoring in computer science and explores how these strategies might be applied to supercomputing.”

Video: How an Exoplanet Makes Waves

In this video, a new NASA supercomputer simulation depicts the planet and debris disk around the nearby star Beta Pictoris reveals that the planet’s motion drives spiral waves throughout the disk, a phenomenon that greatly increases collisions among the orbiting debris. Patterns in the collisions and the resulting dust appear to account for many observed features that previous research has been unable to fully explain.

New Site Compares Docker, Singularity, Shifter, and Univa Grid Engine Container Edition

A new site developed by Tin H compares the HPC virtualization capabilities of Docker, Singularity, Shifter, and Univa Grid Engine Container Edition. “They bring the benefits of container to the HPC world and some provide very similar features. The subtleties are in their implementation approach. MPI maybe the place with the biggest difference.”

Reflecting on the Goal and Baseline for Exascale Computing

Thomas Schulthess from CSCS gave this Invited Talk at SC16. “Experience with today’s platforms show that there can be an order of magnitude difference in performance within a given class of numerical methods – depending only on choice of architecture and implementation. This bears the questions on what our baseline is, over which the performance improvements of Exascale systems will be measured. Furthermore, how close will these Exascale systems bring us to deliver on application goals, such as kilometer scale global climate simulations or high-throughput quantum simulations for materials design? We will discuss specific examples from meteorology and materials science.”

Experts Weigh in on 2017 Artificial Intelligence Predictions

In this presentation from Nvidia, top AI experts from the world’s most influential companies weigh in on predicted advances for AI in 2017. “In 2017, intelligence will trump speed. Over the last several decades, nations have competed on speed, intent to build the world’s fastest supercomputer,” said Ian Buck, VP of Accelerated computing at Nvidia. “In 2017, the race will shift. Nations of the world will compete on who has the smartest supercomputer, not solely the fastest.”

Submission Deadlines for ISC 2017 are Fast Approaching

Are you planning for ISC 2017? The deadlines for submissions are fast approaching. The conference takes place June 18 – 22, 2017 in Frankfurt, Germany. “Participation in these sessions and programs will help enrich your experience at the conference, not to mention provide exposure for your work to some of the most discerning HPC practitioners and business people in the industry. We also want to remind you that it’s the active participation of the community that helps make ISC High Performance such a worthwhile event for all involved.”

Dell EMC Powers HPC at University of Connecticut

The University of Connecticut has partnered with Dell EMC and Intel to create a high performance computing cluster that students and faculty can use in their research. With this HPC Cluster, UConn researchers can solve problems that are computationally intensive or involve massive amounts of data in a matter of days or hours, instead of weeks. The HPC cluster operated on the Storrs campus features 6,000 CPU cores, a high-speed fabric interconnect, and a parallel file system. Since 2011, it has been used by over 500 researchers, from each of the university’s schools and colleges, for over 40 million hours of scientific computation.

New Site Lists all Comparable Features from AWS, Azure, and Google Cloud

Are you shopping for Public Cloud services? A new Public Cloud Services Comparison site gives a service & feature level mapping between the 3 major public clouds: Amazon Web Service, Microsoft Azure & Google Cloud. Published by Ilyas F, a Cloud Solution Architect at Xebia Group, the Public Cloud Services Comparison is a handy reference manual to help anyone to quickly learn the alternate features & services between clouds.

a16z Podcast Looks at Artificial Intelligence and the Space of Possible Minds

In this a16z Podcast, Murray Shanahan, Azeem Azhar, and Tom Standage discuss the past, present, and future of A.I. as well as how it fits (or doesn’t fit) with machine learning and deep learning. “Where are we now in the A.I. evolution? What players do we think will lead, if not win, the current race? And how should we think about issues such as ethics and automation of jobs without descending into obvious extremes? All this and more, including a surprise easter egg in Ex Machina shared by Shanahan, whose work influenced the movie.”

Video: Azure High Performance Computing

“Run your Windows and Linux HPC applications using high performance A8 and A9 compute instances on Azure, and take advantage of a backend network with MPI latency under 3 microseconds and non-blocking 32 Gbps throughput. This backend network includes remote direct memory access (RDMA) technology on Windows and Linux that enables parallel applications to scale to thousands of cores. Azure provides you with high memory and HPC-class CPUs to help you get results fast. Scale up and down based upon what you need and pay only for what you use to reduce costs.”