Filter

Date Range:


From: To:


View all
Categories:

  • Graduate Student Center Graduate Student Center
  • General Public Presentations General Public Presentations
  • Thesis/Dissertation Seminars Thesis/Dissertation Seminars
  • Arts and Humanities Seminars Arts and Humanities Seminars
  • Education Seminars Education Seminars
  • Health Professions Seminars Health Professions Seminars
  • Professional/Business Seminars Professional/Business Seminars
  • Social Sciences Seminars Social Sciences Seminars
  • STEM* Seminars STEM* Seminars
  • Social Events Social Events
  • Student and Professional Development Student and Professional Development
  • Informational Events Informational Events
  • Important Dates Important Dates

*STEM: Science, Technology, Engineering, and Mathematics

Audience:
Faculty
Staff
Students
International Community



Events Calendar   

Back to Summary

Thesis/Dissertation Seminars

Thesis Defense: Cascaded Digital Refinement of Intrinsic Evolvable Hardware

HEC 450
April 7, 2015 @ 03:00 PM - 05:00 PM

Announcing the Final Examination of Vignesh Thangavel for the degree of Master of Science

Intrinsic evolution of reconfigurable hardware is sought to solve computational problems using the intrinsic processing behavior of System—on—Chip (SoC) platforms. SoC devices combine capabilities of analog and digital embedded components within a reconfigurable fabric under software control. A new technique is developed for these fabrics that leverages the digital resources' enhanced accuracy and signal refinement capability to improve circuit performance of the analog resources which are providing low power processing and high computation rates. In particular, Differential Digital Correction (DDC) is developed utilizing an error metric computed from the evolved analog circuit to reconfigure the digital fabric thereby enhancing precision of analog computations. The approach developed herein, Cascaded Digital Refinement (CaDR), explores a multi—level strategy of utilizing DDC for refining intrinsic evolution of analog computational circuits to construct building blocks, known as Constituent Functional Blocks (CFBs). They are developed in a cascaded sequence followed by digital evolution of higher—level control of these CFBs to build the final solution for the larger circuit at—hand. One such platform, Cypress PSoC—5LP was utilized to realize solutions to ordinary differential equations by first evolving various powers of the independent variable followed by that of their combinations to emulate mathematical series—based solutions for the desired range of values. This is shown to enhance accuracy and precision while incurring lower computational energy and time overheads.