New Delhi, India

Ankush Phulia


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Ankush Phulia: Innovator in Compiler Optimization

Introduction

Ankush Phulia is a notable inventor based in New Delhi, India. He has made significant contributions to the field of compiler optimization, showcasing his expertise through innovative patents. His work focuses on enhancing the efficiency of program execution by leveraging advanced techniques in code optimization.

Latest Patents

Ankush holds a patent titled "Leveraging unspecified order of evaluation for compiler-based program optimization." This patent describes a method, apparatus, and system designed to realize optimization opportunities in compiler-based programs. The invention addresses the challenges posed by unsequenced evaluations that involve side effects and references. By translating such expressions into optimized code, the patent aims to improve register usage and the effective utilization of vectorization hardware. The alias-analysis logic incorporated in the invention identifies must-not-alias relationships within expression tree structures, which are crucial for optimizing not only the specific expression but also surrounding program statements that interact with the involved state elements.

Career Highlights

Ankush Phulia is affiliated with the Indian Institute of Technology Delhi, where he contributes to research and development in computer science and engineering. His work in compiler optimization has positioned him as a key figure in advancing programming efficiency and performance.

Collaborations

Ankush collaborates with talented individuals in his field, including coworkers Sorav Bansal and Vaibhav Bhagee. Their collective efforts contribute to the ongoing research and innovation at the Indian Institute of Technology Delhi.

Conclusion

Ankush Phulia's contributions to compiler optimization through his patent demonstrate his commitment to advancing technology in programming. His work not only enhances the performance of individual expressions but also improves the overall efficiency of surrounding code.

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