Exploring cache bypassing and partitioning for multi-tasking on GPUs

Graphics Processing Units (GPUs) computing has become ubiquitous for embedded system, evidenced by its wide adoption for various general purpose applications. As more and more applications are accelerated by GPUs, multi-tasking scenario starts to emerge. Multi-tasking allows multiple applications to simultaneously execute on the same GPU and share the resource. This brings new challenges due to the contention among the different applications for...