Computing Systems  Center Poster Session

Data Science Institute, Columbia University

Data Science Institute Poster Sessions showcase recent research affiliated with DSI Centers.

Thank you for your order! 
We look forward to seeing you at our event. If you have any questions, please contact datascience@columbia.edu. Thank you.

<h2>DSI Computing Systems Center</h2>Want to submit a poster? Applications are now open. Please visit the submission page to view the application and important deadlines: <a href="https://www.dsiposters.com/submit" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">dsiposters.com/submit</a> Eligibility: The Columbia University community is welcome to submit research for consideration. This includes: Faculty Members and Affiliated Researchers, as well as currently enrolled undergraduate, graduate, PhD Candidates and Postdoctoral Researchers. Please indicate your Columbia UNI when applying.The application will require* the following items: Poster PDF file upload, a short abstract, and a 1-3 minute video link of yourself describing your poster.____________The Center for Computing Systems for Data-Driven Science aims to explore the design, analysis and application of massive-scale computing systems for processing data, in the most general sense. The goal is to address the underlying systems aspects of Big Data—including data processing, storage and retrieval—which are central to some of the key research and societal challenges of the 21st Century.The group is a nexus to connect (i) those who design and analyze high-performance computing systems for big data, and (ii) system users, from a variety of application areas. The former area includes researchers developing massively-parallel processors, energy-efficient hardware systems, distributed computing, software and databases, but also, in a broader view, those studying the brain. Several members are exploring and developing new parallel computing paradigms and architectures. The latter area includes those who need to process, store, retrieve, analyze and understand massive data sets, where computation and storage breakthroughs are essential. The goal is to have synergy and interaction between these two classes of researchers.The group has a diverse set of members, working on systems research (computer science, electrical engineering, neuroscience) and application areas (oceanography, climate science, astronomy, physics, materials science, civil engineering, neuroscience, biomedical informatics and computational genomics). Many are working at the cutting edge of high-performance computing (HPC, i.e. scientific computing) and high-performance data analytics (HPDA, i.e. machine learning, pattern matching, and massive-scale search) applications. These two areas are recently melding, with key national initiatives to support both, and with data analytic techniques migrating into biological and physical computation problems.In a simple view, most of science has become computational—many researchers need number crunching. But, in terms of application areas, this group is instead interested in problems where extreme-scale data processing is a central core of the research, and a critical bottleneck.The Center for Computing Systems for Data-Driven Science aims to serve as the “thought leader,” and intellectual locus, at the university, for massive-scale systems research and applications.About DSI Poster Sessions: Columbia University students, faculty, postdocs and researchers are welcome to submit a poster for consideration and inclusion. Each DSI Research Center will host a poster session in the 2020-21 academic year.

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

Ticket sales have ended

Computing Systems Center Poster Session

More events from Data Science Institute, Columbia University

Discover more events from Data Science Institute, Columbia University, from Science & Tech to other experiences you might love.

Still looking for the right event?

Explore all online events to browse and filter by date, category, and more.