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Video: AI – The Next HPC Workload

“From new cloud offerings on AWS and Azure, to Summit and Sierra, the 150+ PF supercomputers being built by the US in 2017, new AI workloads are driving the rapid growth of GPU accelerated HPC systems. For years, HPC simulations have generated ever increasing amounts of big data, a trend further accelerated by GPU computing. With GPU Deep Learning and other AI approaches, a larger amount of big data than ever can now be used to advance scientific discovery.”

Video: Tracing Ocean Salinity for Global Climate Models

In this visualization, ocean temperatures and salinity are tracked over the course of a year. Based on data from global climate models, these visualizations aid our understanding of the physical processes that create the Earth’s climate, and inform predictions about future changes in climate. “The water’s saltiness, or salinity, plays a significant role in this ocean heat engine, Harrison said. Salt makes the water denser, helping it to sink. As the atmosphere warms due to global climate change, melting ice sheets have the potential to release tremendous amounts of fresh water into the oceans.”

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.”

Upgraded Bridges Supercomputer Now in Production

“Bridges’ new nodes add large-memory and GPU resources that enable researchers who have never used high-performance computing to easily scale their applications to tackle much larger analyses,” says Nick Nystrom, principal investigator in the Bridges project and Senior Director of Research at PSC. “Our goal with Bridges is to transform researchers’ thinking from ‘What can I do within my local computing environment?’ to ‘What problems do I really want to solve?’”

IBM Rolls Out All-flash Storage for Cognitive Workloads

“The DS8880 All-Flash family is targeted at users that have experienced poor storage performance due to latency, low server utilization, high energy consumption, low system availability and high operating costs. These same users have been listening, learning and understand the data value proposition of being a cognitive business,” said Ed Walsh, general manager, IBM Storage and Software Defined Infrastructure. “In the coming year we expect an awakening by companies to the opportunity that cognitive applications, and hybrid cloud enablement, bring them in a data driven marketplace.”

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.”

Mellanox Ethernet Accelerates Baidu Machine Learning

Today Mellanox announced that Spectrum Ethernet switches and ConnectX-4 100Gb/s Ethernet adapters have been selected by Baidu, the leading Chinese language Internet search provider, for Baidu’s Machine Learning platforms. The need for higher data speed and most efficient data movement placed Spectrum and RDMA-enabled ConnectX-4 adapters as key components to enable world leading machine learning […]

HDR InfiniBand Technology Reshapes the World of High-Performance and Machine Learning Platforms

“The recent announcement of HDR InfiniBand included the three required network elements to achieve full end-to-end implementation of the new technology: ConnectX-6 host channel adapters, Quantum switches and the LinkX family of 200Gb/s cables. The newest generations of InfiniBand bring the game changing capabilities of In-Network Computing and In-Network Memory to further enhance the new paradigm of Data-Centric data centers – for High-Performance Computing, Machine Learning, Cloud, Web2.0, Big Data, Financial Services and more – dramatically increasing network scalability and introducing new accelerations for storage platforms and data center security.”

Podcast: Engineering Practical Machine Learning Systems

In This Week in Machine Learning podcast, Xavier Amatriain from Quora discusses the process of engineering practical machine learning systems. Amatriainis a former machine learning researcher who went on to lead the recommender systems team at Netflix, and is now the vice president of engineering at Quora, the Q&A site. “What the heck is a multi-arm bandit and how can it help us.”

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.”