Floating-Point Multiplication Using Neuromorphic Computing

08/30/2020
by   Karn Dubey, et al.
0

Neuromorphic computing describes the use of VLSI systems to mimic neuro-biological architectures and is also looked at as a promising alternative to the traditional von Neumann architecture. Any new computing architecture would need a system that can perform floating-point arithmetic. In this paper, we describe a neuromorphic system that performs IEEE 754-compliant floating-point multiplication. The complex process of multiplication is divided into smaller sub-tasks performed by components Exponent Adder, Bias Subtractor, Mantissa Multiplier and Sign OF/UF. We study the effect of the number of neurons per bit on accuracy and bit error rate, and estimate the optimal number of neurons needed for each component.

READ FULL TEXT

Authors

page 1

page 2

page 3

page 4

10/01/2019

An efficient floating point multiplier design for high speed applications using Karatsuba algorithm and Urdhva-Tiryagbhyam algorithm

Floating point multiplication is a crucial operation in high power compu...
07/09/2019

Template-Based Posit Multiplication for Training and Inferring in Neural Networks

The posit number system is arguably the most promising and discussed top...
04/10/2021

Fixed-Posit: A Floating-Point Representation for Error-Resilient Applications

Today, almost all computer systems use IEEE-754 floating point to repres...
12/20/2021

Efficient Floating Point Arithmetic for Quantum Computers

One of the major promises of quantum computing is the realization of SIM...
11/06/2020

Low-Cost Floating-Point Processing in ReRAM for Scientific Computing

We propose ReFloat, a principled approach for low-cost floating-point pr...
09/29/2019

AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference

Conventional hardware-friendly quantization methods, such as fixed-point...
09/16/2021

The Accuracy and Efficiency of Posit Arithmetic

Motivated by the increasing interest in the posit numeric format, in thi...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.