In this paper, we present what we believe to be a novel approach to floating-point multiplication, demonstrated experimentally for the first time. This method involves encoding floating-point numbers ...

This repository offers the source code for the paper Improved Modular Multiplication Algorithms Using Solely IEEE 754 Binary Floating-Point Operations by Yukimasa Sugizaki and Daisuke Takahashi (IEEE ...

The function returns a result of a multiplication of two single precision floating point values (IEEE 754). The function has been created using ARMv7 instructions and for Thumb mode. To use the ...

Abstract: In this paper we propose an architecture for the computation of the double-precision floating-point multiply-add fused (MAF) operation A+(B/spl times/C) that permits to compute the ...

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 ...

Native Floating-Point HDL code generation allows you to generate VHDL or Verilog for floating-point implementation in hardware without the effort of fixed-point conversion. Native Floating-Point HDL ...

Replacing computationally complex floating-point tensor multiplication with the much simpler integer addition is 20 times more efficient. Together with incoming hardware improvements this promises ...

Texas Instruments recently introduced what it calls “the first floating-point digital signal controller (DSC).” (The term DSC is relatively new in the industry; it refers to a low-cost embedded ...