Toward Energy-Efficient Stochastic Circuits Using Parallel Sobol Sequences - 2018


Stochastic computing (SC) typically needs long stochastic sequences and, so, a protracted latency to achieve accurate computation. The long latency leads to an inferior performance and low energy efficiency compared with most standard binary designs. During this paper, a sort of low-discrepancy sequences, the Sobol sequence, is considered for use in SC. Compared to the utilization of pseudorandom sequences generated by linear feedback shift registers (LFSRs), the use of Sobol sequences improves the accuracy of stochastic computation with a reduced sequence length. The inherent feature in Sobol sequence generators permits the parallel implementation of random range generators with an improved performance and hardware potency. In particular, the underlying theory is formulated and circuit style is proposed for an arbitrary level of parallelization during a power of two. As well, totally different methods are implemented for parallelizing combinational and sequential stochastic circuits. The hardware efficiency of the parallel stochastic circuits is measured by energy per operation (EPO), throughput per area (TPA), and runtime. At the same accuracy, the 8× parallel stochastic circuits using Sobol sequences consume approximately onep.c of the EPO of the standard LFSR-based mostly nonparallelized circuits. Meanwhile, a median of 70 (up to 89) times enhancements in TPA and less than 1p.c runtime are achieved. A sorting network is implemented for a median filter (MF) as an application. For the same Image Processing quality, a higher energy potency is obtained for an 8× parallelized stochastic MF compared with its binary counterpart.

Did you like this research project?

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

PROJECT TITLE : RESERVE: An Energy-Efficient Edge Cloud Architecture for Intelligent Multi-UAV ABSTRACT: Multi-unmanned aerial vehicle (MUAV) systems are able to perform tasks such as environmental and disaster monitoring, border
PROJECT TITLE : MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers ABSTRACT: Two of the most significant challenges for effective resource management in large-scale
PROJECT TITLE : An Energy-Efficient Framework for Internet of Things Underlaying Heterogeneous Small Cell Networks ABSTRACT: It has been found that heterogeneous networks that support Long-Term Evolution Advanced (LTE-A) can
PROJECT TITLE :Energy-Efficient Transponder Configuration for FMF-Based Elastic Optical Networks - 2018ABSTRACT:We propose an energy-efficient procedure for transponder configuration in few-mode fiber-based elastic optical networks
PROJECT TITLE :Energy-Efficient Defensive Strategy Against Hybrid SSDF/Eavesdropping Attacks Over Nakagami- m Channels - 2018ABSTRACT:Throughout cooperative spectrum sensing (CSS) in cognitive radio networks, malicious users

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

Project Enquiry