SupercomputingAsia 2020

January 20, 2020SupercomputingAsia 2020 conference aimed at using high-performance computing to improve planning, evolution and operation of cities.
Charlie Catlett, a senior computer scientist in the Mathematics and Computer Science Division at Argonne National Laboratory and director of the Urban Center for Computation and Data, will give the opening plenary keynote address at the SupercomputingAsia 2020 conference in Singapore. This year’s conference theme is ​“HPC Empowering Intelligent Cities.”
The international meeting, to be held in February 24–27, 2020, will bring together researchers from academia, research centers, government and industry to share ideas about how high-performance computing can improve the planning, evolution, and operation of cities.  Topics to be discussed include quantum computing, hyperscale infrastructure. Topics to be discussed include quantum computing, hyperscale infrastructure, cybersecurity and the incorporation of artificial intelligence in engineering, healthcare, and urban science.
Catlett’s presentation, titled ​“Understanding Cities through HPC Supporting Embedded AI, Modeling, and Predictive Analytics,” will focus onhow high-performance cyber infrastructure can address many of the key opportunities and challenges of urbanization.
“Urbanization is inextricably tied to global challenges ranging from sustainable use of energy and natural resources to personal health and safety,” Catlett says. ​“And to address these challenges, we need new approaches to modeling as well as measurements with greater spatial and temporal resolution than is currently available for critical factors such as air quality, microclimate, energy, noise and mobility.”
In his presentation, Catlett will discuss how sophisticated models and ensembles of models can capture individual urban processes and systems as well as their interactions, including work funded through the U.S. Department of Energy’s Exascale Computing Project. Such coupled models can help engineers design more energy-efficient buildings, for example, or assist decision-makers in developing more effective policies to address urban congestion.
Catlett also will discuss innovative approaches that are exploiting high-performance computation to address the challenges of urbanization. These include predictive analytics, embedded or ​“edge” computing and the injection of artificial intelligence within the urban infrastructure to enable smart city research.
For further information, visit the SCAsia2020 meeting website.
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