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. More
Information
culture
8292
Views
25/02/2020 Last update