Design and Evaluation of GPU-FPX: A Low-Overhead tool for Floating-Point Exception Detection in NVIDIA GPUs
Xinyi Li, Ignacio Laguna, Bo Fang, Katarzyna Świrydowicz, Ang Li, Ganesh Lalitha Gopalakrishnan · 2023
Floating-point exceptions occurring during numerical computations can be a serious threat to the validity of the computed results if they are not caught and diagnosed Unfortunately, on NVIDIA GPUs-today's most widely used types and which do not have hardware exception traps-this task must be carried out in software. Given the prevalence of closed-source kernels, efficient binary-level exception tracking is essential. It is also important to know how exceptions flow through the code, whether they alter the code behavior and additionally whether these exceptions can be detected at the program outputs or are killed inside program flow-paths.