Checkpointing, or periodic saving of program state to storage, is the de facto standard technique used to mitigate risks of nondeterministic bugs, hardware faults, and job wall-time limits in long-running programs. Traditional approaches require users to manually manage the migration of data to and from storage when capturing checkpoints and when resuming execution.

GPU architectures have continued to grow in complexity, with recent incarnations introducing increasingly powerful fixed-function units for matrix multiplication and data movement to accompany highly parallel general-purpose cores. To fully leverage these machines, software must use sophisticated schedules that maximally utilize all hardware resources. Since realizing such schedules is complex, both programmers and compilers routinely employ program transformations, such as software pipelining (SWP) and warp specialization (WS), to do so in practice.