Multiplication UsingLogarithms Implemented withRead-OnlyMemory.

TL;DR: In this article, two arquitectura hardware hardware implementations of Field Programmable Gate Arrays (FPGAs) are presented, one based on the Look-Up (LUT) multipartidas and the other based on Mitchell's metodo of Mitchell.

TL;DR: The state-of-the-art of high speed arithmetic integrated circuits (ICs) are provided, including ALUs, Data Slices, Multipliers, Floating Point Processors, and ROMs, in monolithic form.

TL;DR: The purpose of this report is to provide the state-of-the-art of high performance arithmetic integrated circuits (ICs) that are designed to improve execution speed over software techniques, therefore, no calculator chips are surveyed.

TL;DR: This work proposes a new design for FPU with modified multiplier circuitry to give good accuracy by consuming minimal area and power and achieves 71% accuracy with 24.8% less area utilized than normal integer based computation structures in field programming gate arrays (FPGAs).

TL;DR: In this article, two arquitectura hardware hardware implementations of Field Programmable Gate Arrays (FPGAs) are presented, one based on the Look-Up (LUT) multipartidas and the other based on Mitchell's metodo of Mitchell.

TL;DR: The state-of-the-art of high speed arithmetic integrated circuits (ICs) are provided, including ALUs, Data Slices, Multipliers, Floating Point Processors, and ROMs, in monolithic form.

TL;DR: The purpose of this report is to provide the state-of-the-art of high performance arithmetic integrated circuits (ICs) that are designed to improve execution speed over software techniques, therefore, no calculator chips are surveyed.

TL;DR: This work proposes a new design for FPU with modified multiplier circuitry to give good accuracy by consuming minimal area and power and achieves 71% accuracy with 24.8% less area utilized than normal integer based computation structures in field programming gate arrays (FPGAs).