Implementing LNS using filtering units of GPUs

Current GPUs offer specialized graphics hardware in addition to generic floating-point processing units. We propose a method which reuses specialized texture filtering units to perform piecewise polynomial evaluations, which helps accelerate LNS computations and can be used in combination with hardware-based transcendental functions.