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Exascale Computing for Long Term Design of Urban Systems

In this episode of Let’s Talk Exascale, Charlie Catlett from Argonne National Laboratory and the University of Chicago describes how extreme scale HPC will be required to better build Smart Cities. “Urbanization is a bigger set of challenges in the developing world than in the developed world, but it’s still a challenge for us in US and European cities and Japan.”

Quantum Drives High Performance Storage at SC17

In this video from SC17, Molly Presley from Quantum describes how the company’s high performance storage systems power HPC. “So why have an autonomous car at a Supercomputing show? The answer is Big Data. The Autonomous Stuff vehicle in this video is actually a rolling software development platform equipped with sensors that generate a whopping 30 Terabytes of data per day. Now just imagine if there were millions of vehicles on the road generating this kind of data. Only HPC could deal with that problem at scale. Companies like Quantum are stepping up to help solve this big data problem, both in the vehicle, on the edge, and in the datacenter.”

Video: SC17 Plenary on Smart Cities

We are very pleased to bring you this livestream of the SC17 Plenary session on Smart Cities. It starts right here Nov 13 at 5:30pm Mountain Time. “The Smart Cities initiative looks to improve the quality of life for residents using urban informatics and other technologies to improve the efficiency of services.”

HPC Connects with Smart Cities at SC17

In this video from the SC17 HPC Connects series, Pete Beckman and Charlie Catlett from Argonne describe how the Smart Cities initiative to improve the quality of life for residents using HPC, urban informatics, and other technologies to improve the efficiency of services. “Smart Cities will be the topic of the SC17 plenary session, which kicks off the conference at 5:30pm on Monday, Nov. 13 in the Colorado Convention Center.”

Radio Free HPC Previews SC17 in Denver

In this podcast, the Radio Free HPC team previews the ancillary events leading up to SC17, which takes place Nov. 12-17 in Denver. “SC17 is the world’s largest gathering of supercomputing professionals. There’s a lot not to miss before the exhibit floor opens in Denver, and we have the full countdown.”

Exascale to Enable Smart Cities

Over at Argonne, Charlie Catlett describes how the advent of Exascale computing will enable Smart Cities designed to improve the quality of life for urban dwellers. Catlett will moderate a panel discussion on Smart Cities at the SC17 Plenary session, which kicks off the conference on Monday, Nov. 13 in Denver.

Radio Free HPC Previews the SC17 Plenary on Smart Cities

In this podcast, the Radio Free HPC team looks at Smart Cities. As the featured topic this year at the SC17 Plenary, the Smart Cities initiative looks to improve the quality of life for residents using urban informatics and other technologies to improve the efficiency of services.

Podcast: How Deep Learning Will Reshape Our Cities

In this AI Podcast, Lynn Richards, president and CEO of the Congress for New Urbanism and Charles Marohn, president and co-founder of Strong Towns, describe how AI will reshape our cities. “AI will do much more than automate driving. It promises to help create more liveable cities. And help put expensive infrastructure where we need it most.”

Understanding Cities through Computation, Data Analytics, and Measurement

“For many urban questions, however, new data sources will be required with greater spatial and/or temporal resolution, driving innovation in the use of sensors in mobile devices as well as embedding intelligent sensing infrastructure in the built environment. Collectively, these data sources also hold promise to begin to integrate computational models associated with individual urban sectors such as transportation, building energy use, or climate. Catlett will discuss the work that Argonne National Laboratory and the University of Chicago are doing in partnership with the City of Chicago and other cities through the Urban Center for Computation and Data, focusing in particular on new opportunities related to embedded systems and computational modeling.”