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Spring 2021 Computer Science and Electrical Engineering E6868 section 001
EMBEDDED SCALABLE PLATFORMS
EMBEDDED SCALABLE PLATFOR

Call Number 11949
Day & Time
Location
W 6:10pm-8:00pm
502 Northwest Corner Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Luca Carloni - homepage
Type LECTURE
Method of Instruction Hybrid
Course Description An inter-disciplinary graduate-level seminar on the design and programming of embedded scalable platforms. Topics are selected from the following list and vary each year: hardware-software co-design; acceleration of computational kernels with ; embedded software; virtual platforms and physical platforms (SoC, FPGA, GPU...); platform architectures; heterogeneous component integration; balancing of computation, storage, and communication; design-space exploration with high-level synthesis; design for reusability; learning-based methods for design automation; power management and optimization; and impact of emerging technologies. Requirements: The course requires substantial reading of research papers, class participation, and a semester-long research project. The project can be done individually or in a small team. A project typically involves the development of embedded software or specialized hardware for a target application (in such application domains as computer vision, natural language processing, machine learning, security...) or the development of a CAD tool for design/programming of embedded scalable platforms. Successful projects have led to summer internships and research publications. NOTE: This course is typically offered in the Spring semester only. It is open to undergraduate, MS and PhD students who meet the Prerequisites as listed above. It can be taken to satisfy elective requirements for the M.S. programs in Computer Engineering, Computer Science, and Electrical Engineering, as well as for the Ph.D. programs in Computer Science and Electrical Engineering.
Web Site Vergil, Course Homepage
Department Computer Science
Enrollment 5 students (20 max) as of 11:34AM Wednesday, January 27, 2021
Subject Computer Science and Electrical Engineering
Number E6868
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20211CSEE6868E001

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SIS update 01/27/21 11:34    web update 01/27/21 15:19