The astonishing foresight and vision of ancient scientists remain unparalleled. They augmented the conversations and thoughts about philosophy and science, often revealing structured explanations for phenomena that were way ahead of their time. One such instance is the emergence of the Sanskrit language which was characteristic of the literature during the Vedic period in Ancient India, in third century BC. Sanskrit has been widely accepted as an extremely logical language and the sole credit for this goes to Panini, Sanskrit Grammarian and vastly regarded as the first programmer of the world. In his work Ashtadhyayi, he summarizes the logic and grammar for Sanskrit in the form of 4000 Sutras, effectively building a machine that generates thousands of Sanskrit words and sentences. While linguists around the world have begun realizing similarities to Backus-Naur form in Ashtadhyayi, Sanskrit is being claimed as the best language for Artificial Intelligence and Natural Language Processing. The aim of this project is to identify and understand the Sutra style of Panini Grammar, and to exploit the optimizations in language for better programming languages. The effectiveness of applying a similar optimized grammar for use in C programming language has been explored. Further, the results have been extrapolated to understand the advantage of using this grammar in CUDA-C in a graphical processing unit. The performed experiments validate the efficiency and pronounced the enhancement of using a Panini-inspired compiler for C as well as CUDA-C, which can lead to path-breaking speed and a new paradigm to approach fast data technologies using next generation GPU systems.
