Toulouse, France

Florent Manni

This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Centre National Detudes Spatiales. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Florent Manni. Retrieved from https://idiyas.com/inventor/florent-manni

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Florent Manni: Patent Work in Computer Architecture

Introduction

Florent Manni is an inventor based in Toulouse, France. His patent work includes a computer-implemented method for automatically determining a target architecture for implementing an algorithm.

Latest Patents

Manni’s patent, “Computer-implemented method for automatically determining a target architecture,” describes a process for selecting a target architecture from a set of possible architectures. The method selects a programming language associated with a compiler, compiles the algorithm’s source code using at least one optimization option, and measures a performance score of the resulting object code according to a metric. Manni is associated with 1 patent.

Career Highlights

Manni is associated with the Centre National d’Études Spatiales (CNES). His patent focuses on using compilation and performance measurements to help determine an appropriate architecture for implementing an algorithm.

Collaborations

Manni’s named coworkers include Clément Coggiola and Julien Galizzi.

Conclusion

Florent Manni’s patent describes a systematic approach to architecture selection by compiling algorithm code with optimization options and evaluating the resulting performance.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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