Dr. Grewal’s research mainly relates to developing Computer-Aided Design tools for Field Programmable Gate Arrays (FPGAs). Since their inception circa 1984, advances in transistor and integration technologies have enabled FPGAs to evolve from simple programmable logic fabrics suitable as glue log...
Dr. Grewal’s research mainly relates to developing Computer-Aided Design tools for Field Programmable Gate Arrays (FPGAs). Since their inception circa 1984, advances in transistor and integration technologies have enabled FPGAs to evolve from simple programmable logic fabrics suitable as glue logic, to heterogeneous devices that can implement whole systems on a chip.
Grewal’s work seeks to improve FPGA CAD tools from the perspectives of speed and quality-of-result through the combined use of classical optimization techniques and modern machine learning and deep learning methods.