Overview
This report is the final deliverable for GSoC 2024, showcasing my contributions within GeomScale.
My work was focused on implementing and enhancing volume computation techniques for developing a more efficient algorithm by utilizing advancements in non-uniform sampling techniques.
Pull Requests
Optimized memory allocation and improved performance of the update_position function.
Implementation of a nudge_in function to ensure proper reflection process within Gaussian HMC.
Constrained Riemannian HMC for volume computation with cooling spherical gaussians.
Constrained Riemannian HMC for volume computation with cooling non-spherical gaussians
Acknowledgements
I would like to express my sincere gratitude to the GeomScale organization for providing me with this incredible opportunity to contribute to their project. Thus, I want to thank Vissarion Fisikopoulos and Apostolos Chalkis - my project mentors, whose guidance and support were invaluable throughout this experience.
Lastly, I want to thank Google for organizing the Google Summer of Code program. It was an incredible experience and I am so grateful for it. Having the opportunity to be immersed in the world of open-source software development, while being mentored by members of impressive organizations was an invaluable experience that enhanced my theoretical and collaborative skills.