Overview

With the end of Dennard Scaling and Moore’s Law, computer hardware and software must find creative new ways to meet the rapidly increasing demands of future applications without relying on additional transistors. Approximate computing is a promising strategy for solving this problem by sacrificing acceptable amounts of accuracy for significant improvements in performance and energy. In this course, we will cover a wide range of emerging approximation strategies in both software and hardware. The course will be taught in a seminar style, with students presenting the majority of the work from existing research papers.

Course Information

• Syllabi
  • 5934 Online
  • 5934 Hybrid
  • 4930 Online
• E-learning (Canvas)
• Professor
  Greg Stitt (gstitt@ece.ufl.edu), Office Hours (M Period 3, T Period 2) or by appointment (Benton 315)
  
• Supervised Teaching Students
  Madison Emas (madisel@ufl.edu)
• Lecture
  M W F, Period 5 (11:45AM-12:35PM), online for existing UF students, hybrid for new students (room TBD)

Lectures

VHDL Resources

• My tutorial
• VHDL For Digital Design (Book)
• VHDL Package Reference
• VHDL Math Tricks
• Tutorial
• VHDL Online
• VHDL Reference
• VHDL Language Reference Guide
• Free VHDL Book
• Type Conversion Examples
• Numerous Verilog Tips (many apply to VHDL)
• Tradeoffs between synchronous and asynchronous resets
• Excellent article on false paths and multi-cycle paths