The QuAd library contains MATLAB codes for generating verilog codes of any configuration of QuAd. It also contains functional MATLAB model of QuAd that can be used for simulations at higher abstraction levels. The library also includes PMF and Error Estimation code for QuAd configurations. This open-source library is developed to facilitate comparisons, and to facilitate research and development in AC at higher abstraction levels.

In case of usage, please refer to our publication:
M. A. Hanif, R. Hafiz, O. Hasan and M. Shafique, “QuAd: Design and Analysis of Quality-Area Optimal Low-Latency Approximate Adders”, Design Automation Conference (DAC-2017).

Contributors: M. A. Hanif, R. Hafiz, O. Hasan and M. Shafique

Project Samples

QuAd Screenshot 1 QuAd Screenshot 2

Project Activity

See All Activity >

Follow QuAd

QuAd Web Site

Other Useful Business Software
Turn traffic into pipeline and prospects into customers Icon
Turn traffic into pipeline and prospects into customers

For account executives and sales engineers looking for a solution to manage their insights and sales data

Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of QuAd!

Additional Project Details

Registered

2017-04-06
Report inappropriate content