Evaluating pseudo-random SRAM for AI applications in GPU cache
General Purpose Graphics Processing Units (GPGPUs) have become the prevalent processor for AI/ML and other large computational problems because parallel processing has not reached a hardware limit, unlike single-threaded processing. The goal of the thesis is to investigate the suitability of a novel SRAM architecture for implementation in a GPU without extensive GPU architecture changes. This arch