Reconfigurable Computing

Catalog description

Focuses on the reconfigurable computing, primarily using Field Programmable Gate Arrays (FPGAs). Students read and comprehend research papers in the area of reconfigurable computing; get hands-on experience using FPGAs and FPGA tools through lab assignments; and work on class projects or term papers. Topics include introduction to FPGAs, programming/using FPGAs, architecting/building FPGAs and CAD algorithms for FPGAs. Students learn about designing and optimizing FPGA-based hardware accelerators for computationally intensive real-life applications, such as machine learning and digital signal processing. Also covers performance analysis, optimization techniques, timing and dataflow. In order to be successful in this course, prior knowledge of programming, digital system design, computer organization and digital circuits is helpful.