Tempe, AZ, United States of America

Ali Akoglu

This inventor holds 1 USPTO granted patent. Top assignee: Arizona State University. Active years: 2012.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 110(Granted Patents)


Company Filing History:


Years Active: 2012

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1 patent (USPTO):Explore Patents

Title: Innovations of Ali Akoglu in Reconfigurable Processing

Introduction

Ali Akoglu is an accomplished inventor based in Tempe, AZ (US). He has made significant contributions to the field of reconfigurable processing, particularly through his innovative patent. His work focuses on enhancing the efficiency of computer programs, especially in multimedia processing.

Latest Patents

Ali Akoglu holds a patent for a method of producing a reconfigurable circuit device. This device is designed to run computer programs of moderate complexity. The patent details a process where code is compiled into Control Flow Graphs, which represent distinct parts of the application. From these graphs, basic blocks are extracted and converted into Data Flow Graphs by a compiler utility. The invention emphasizes the determination of the largest common subgraph from multiple Data Flow Graphs, which is then scheduled for optimal performance. This scheduling is crucial for achieving the fastest run times, and the code is implemented in hardware through careful design and partitioning of processing elements on a chip.

Career Highlights

Ali Akoglu is affiliated with Arizona State University, where he continues to contribute to research and development in his field. His work has implications for various applications, particularly in enhancing multimedia processing capabilities.

Collaborations

Some of his notable coworkers include Aravind Dasu and Arvind Sudarsanam, who collaborate with him on various projects related to reconfigurable processing.

Conclusion

Ali Akoglu's innovative work in reconfigurable processing showcases his expertise and commitment to advancing technology. His contributions are paving the way for more efficient computing solutions in multimedia applications.

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