VECTOR FLOATING-POINT UNIT SPEEDS ARM9 NXP’s 90-nm, 208-MHz LPC32x0 is based on ARM’s ARM926EJ-S core plus a vector floating-point (VFP) coprocessor. The chip has 256 kbytes of SRAM plus 32-kbyte ...
Most of the algorithms implemented in FPGAs used to be fixed-point. Floating-point operations are useful for computations involving large dynamic range, but they require significantly more resources ...
As defined by the IEEE 754 standard, floating-point values are represented in three fields: a significand or mantissa, a sign bit for the significand and an exponent field. The exponent is a biased ...
Munich, Germany — Infineon Technologies AG has added a floating-point maths unit (FPU) to its library of system design blocks supporting the TriCore processor core. The addition of an FPU will improve ...
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 ...
Many numerical applications typically use floating-point types to compute values. However, in some platforms, a floating-point unit may not be available. Other platforms may have a floating-point unit ...