FPGA-Accelerated SVM and WFSVM Implementations on PYNQ-Z2

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Authors: PAVANI SUNKARA
Cited by: 0

Abstract

This repository contains FPGA overlays, hardware configuration files, and Python control scripts used for implementing Support Vector Machine (SVM) and Weighted Feature SVM (WFSVM) models on the PYNQ-Z2 FPGA platform. The repository includes batch processing, parallel processing, optimized parallel processing, WFSVM, and BRAM-free implementations. These files support reproducibility of the experimental results reported in the associated journal publication.

Fields of Study & Subjects

Computational Physics and Python Applications Embedded Systems Design Techniques Advanced Neural Network Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026