[Editor's note: For an intro to fixed-point math, see Fixed-Point DSP and Algorithm Implementation. For a comparison of fixed- and floating-point hardware, see Fixed vs. floating point: a surprisingly ...

Most AI chips and hardware accelerators that power machine learning (ML) and deep learning (DL) applications include floating-point units (FPUs). Algorithms used in neural networks today are often ...

Beforediscussing a new approach that enables floating-point implementation inhardware with performance similar to that of fixed-point processing, it isfirst necessary to discuss the reason why ...

Radar, navigation and guidance systems process data that is acquired using arrays of sensors. The energy delta from sensor to sensor over time holds the key to information such as targets, position or ...

Yea, see topic. Using all floating point cut CPU usage in half.<BR><BR>I made a version of SineClock (the ancient BeOS program) for IRIX. I first wrote it with integer, since I figured that integer ...