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Columbia University’s Data Science Institute Presents:

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Wednesday, April 6 • 2:00pm - 4:30pm
Scalable Platform for Efficient Embedded Big-Data Processing [D31]

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The quest for energy efficiency affects all types of computer systems, from data centers to embedded devices. As the amount of sensor-generated data continues to grow, their processing by analytics applications is increasingly pushed to the  edge of the cloud. The demand for efficient embedded big-data processing translates in the emergence of heterogeneous architectures, which combine accelerators with general-purpose processors. Heterogeneity, however, exacerbates design and programming complexity. We propose a system-level design methodology that is scalable and application-driven. It relies on a flexible architecture balancing heterogeneity and regularity to ease the integration of accelerators and processors. It promotes intellectual property reuse and enables quick design-space exploration at both the component and application levels. Furthermore, it addresses the challenges of running legacy software and managing energy in accelerator-enhanced architectures. We demonstrate our methodology with a computer-vision application integrated with a real-time monitoring mechanism implemented on a high-end FPGA prototyping system. 

Demo/Poster Presenter
avatar for Davide Giri

Davide Giri

PhD Candidate in Computer Science, Columbia Engineering
avatar for Emilio G. Cota

Emilio G. Cota

PhD Candidate in Computer Science, Columbia Engineering
avatar for Paolo Mantovani

Paolo Mantovani

PhD Candidate in Computer Science, Columbia Engineering
Paolo is a PhD student at Columbia University working with the System-Level-Design group under the supervision of Professor Luca Carloni. He  completed his M.S. degree in Electronic Engineering at "Politecnico di Torino" in 2010 and earned his  piano diploma at the Conservatory of Music L. Campiani in Mantova in 2007. | As a master student in Torino Paolo focused on VLSI and process-variation-awaredesign. At Columbia University his... Read More →

Demo/Poster Collaborator
avatar for Luca Carloni

Luca Carloni

Associate Professor of Computer Science, Columbia Engineering
Luca Carloni is an associate professor of computer science at Columbia Engineering. He received a Faculty Early Career Development (CAREER) Award from the National Science Foundation in 2006, was selected as an Alfred P. Sloan Research Fellow in 2008, and received the Office of Naval Research (ONR) Young Investigator Award in 2010. Carloni’s research interests include methodologies and tools for multi-core system-on-chip platforms... Read More →
avatar for Giuseppe Di Guglielmo

Giuseppe Di Guglielmo

Associate Research Scientist in Computer Science, Columbia Engineering

Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (2)