PROJECT TITLE :

Low-power enhanced system-on-chip design for sequential minimal optimisation learning core with tri-layer bus and butterfly-path accelerator

ABSTRACT:

A tri-layer bus system-on-chip (SoC) and a butterfly-path accelerator are used to reinforce system-level performance in a sequential minimal optimisation learning core. The tri-layer bus architecture is used to obtain an adequate transfer rate. The butterfly-path accelerator conjointly uses symmetrical access to resolve bottlenecks during linear prediction cepstral coefficients extraction. This novel design increases speed and flexibility without substantially increasing space. For implementation in chip manufacturing, the SoC is synthesised, placed and routed using the TSMC ninety nm technology library. The die size is two.09 mm × 2.09 mm, and the ability consumption is 8.nine mW. Compared with the non-butterfly-path style, the simulation results show that the proposed design provides a 2.4-fold speed increase. Additionally, clock down-sampling and voltage scaling scale back the power consumed by the proposed chip by a factor of eight.5. The experimental results make sure the improved speed and power that are provided by the proposed architecture and methods.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Low-Power Wide-Area Networks: A Broad Overview of Its Different Aspects ABSTRACT: Low-power wide-area networks, also known as LPWANs, are becoming increasingly popular in the field of research due to the fact
PROJECT TITLE :Design, Analysis, and Implementation of ARPKI: An Attack-Resilient Public-Key Infrastructure - 2018ABSTRACT:This Transport Layer Security (TLS) Public-Key Infrastructure (PKI) is based on a weakest-link security
PROJECT TITLE :Dynamically Updatable Ternary Segmented Aging Bloom Filter for OpenFlow-Compliant Low-Power Packet Processing - 2018ABSTRACT:OpenFlow, the most protocol for software-outlined networking, requires large-sized rule
PROJECT TITLE :A Low-Power High-Speed Comparator for Precise Applications - 2018ABSTRACT:A coffee-power comparator is presented. pMOS transistors are used at the input of the preamplifier of the comparator furthermore as the latch
PROJECT TITLE :Low-power Implementation of Mitchell's Approximate Logarithmic Multiplication for Convolutional Neural Networks - 2018ABSTRACT:This paper proposes an occasional-power implementation of the approximate logarithmic

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry