February 12, 2024, SE 43 - room 215, 10 am   +Zoom (click here)

Speaker: Merve Karabulut, Florida Atlantic University

Title: Number Theoretic Transform: A Python-based Speed Enhancement

Abstract: Our proposal involves a Python-based solution that utilizes Numba's just-in-time compilation capabilities. We aim to optimize the control flow of the Number Theoretic Transform (NTT) operation to exploit parallelism in modern CPUs. Our solution leverages multi-core processing, multi-threading, and cache memory.

Speaker biography: Merve is a computer engineering graduate from Yildiz Technical University, with experience in full-stack development and blockchain, especially with Hyperledger. At FAU, she is working towards a Ph.D., focusing on PQC with Dr. Reza Azarderakhsh. Her goal is to create secure solutions resistant to quantum computing and efficient implementation of algorithms.