Payal https://quepayal.netlify.app/ Recent content on Payal Payal https://quepayal.netlify.app/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E https://quepayal.netlify.app/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E Hugo -- 0.154.2 en-us Accelerated KMeans with CUDA https://quepayal.netlify.app/projects/project_3/ Mon, 01 Jan 0001 00:00:00 +0000 https://quepayal.netlify.app/projects/project_3/ Optimization of KMeans clustering using Kernel Fusion and Shared Memory on NVIDIA GPUs. Concurrent BST Equivalence Analysis https://quepayal.netlify.app/projects/project_4/ Mon, 01 Jan 0001 00:00:00 +0000 https://quepayal.netlify.app/projects/project_4/ A performance study of parallelization strategies and synchronization primitives in Go. Distributed Barnes-Hut N-Body Simulation https://quepayal.netlify.app/projects/project_1/ Mon, 01 Jan 0001 00:00:00 +0000 https://quepayal.netlify.app/projects/project_1/ High-performance gravitational force approximation using MPI and Hilbert Curve load balancing. Distributed Two-Phase Commit in Rust https://quepayal.netlify.app/projects/project_2/ Mon, 01 Jan 0001 00:00:00 +0000 https://quepayal.netlify.app/projects/project_2/ A fault-tolerant distributed transaction coordinator implemented in Rust using IPC channels. Parameterizing color-supernova profiles of nebula blackhole with neural networks https://quepayal.netlify.app/publications/publication_1/ Mon, 01 Jan 0001 00:00:00 +0000 https://quepayal.netlify.app/publications/publication_1/ Accepted at the <span class='anchor-tag'><a href='www.google.com'>Science Journal</a></span> at San Fransisco, December 17th 2024 Parameterizing color-supernova profiles of nebula blackhole with neural networks https://quepayal.netlify.app/publications/publication_2/ Mon, 01 Jan 0001 00:00:00 +0000 https://quepayal.netlify.app/publications/publication_2/ Accepted at the <span class='anchor-tag'><a href='www.google.com'>Science Journal</a></span> at San Fransisco, December 17th 2024