The demand for real-time computing on edge devices from emerging applications, e.g. AI, has exploded in recent years. Lately, physics-based scientific computing has also drawn significant interests driven by the growth of real-time applications, e.g., VR, IoT, robotics, etc. Fig. 20.4.1 shows examples of real-time physics-based computation including structural deformation in photorealistic VR/MR, robot dynamic control, temperature monitoring in additive manufacturing, and real-time leak-gas tracking. Unfortunately, hardware support for numerical scientific computing on edge devices is relatively poor, hindering the use of high-accuracy, high-resolution physics-based computing in real time. Figure 20.4.1 shows an example of beam deformation analysis in VR/MR falling short of a real-time latency target using classic solvers due to the large number of iterations for convergence. Recently, ASIC solvers have been designed to
Yuhao Ju, Ganqi Xu, Jie Gu
Northwestern University, Evanston, IL