LowPrecision
Low precision refers to numeric representations and computations that use fewer bits than standard high-precision formats, such as 32-bit or 64-bit floating point. The aim is to reduce memory usage, bandwidth, and computational cost while maintaining acceptable accuracy, especially in domains like machine learning, graphics, and embedded systems.
Common forms of low precision include floating-point formats with reduced bit width (for example 16-bit FP16
Low precision introduces quantization errors and potential instability due to restricted dynamic range. To mitigate these
Applications extend beyond machine learning to real-time signal processing, computer graphics, and embedded systems where resources