Speaker
Description
Achieving optimal performance in numerical computations often hinges on aggressively reducing precision or performing rigorous rounding-error analysis to retain numerical accuracy. The precision tuning methods provide a unified, task-specific validation platform for automated precision tuning, enabling a balance between computational efficiency and numerical fidelity. In this talk, we present novel precision-tuning methods, including expanded precision options and low-precision math functions, which streamline the exploration of low-precision configurations. This talk reveals the potential for significant performance gains by leveraging low-precision settings. This work underscores the transformative potential of automated precision tuning while maintaining accuracy and performance objectives.