Enabling OS Research by Inferring Interactions in the Black-Box GPU Stack

This course aims to enable OS research by uncovering interactions within black-box GPU stacks. The learning outcomes include understanding the methodology to reveal these interactions and creating a state machine to capture them. The course teaches skills such as analyzing GPU interactions, interpreting application performance, and enabling OS kernels to control GPU resource management. The teaching method involves systematizing a methodology and presenting a case study. The intended audience for this course includes researchers interested in GPU resource management and OS kernel control.