Archit Manishbhai Gajjar

College of Engineering

Works (3)

Updated: December 18th, 2024 05:01

2024 journal article

RD-FAXID: Ransomware Detection with FPGA-Accelerated XGBoost

ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS, 17(4).

By: A. Gajjar n, P. Kashyap n , A. Aysu n, P. Franzon n , Y. Choi *, C. Cheng *, G. Pedretti *, J. Ignowski *

author keywords: FPGAs; XGBoost; Binary Classification; High-Level Synthesis; Ransomware; Hardware Performance Counters; Accelerators; Machine Learning
topics (OpenAlex): Advanced Malware Detection Techniques; Network Security and Intrusion Detection; Digital and Cyber Forensics
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 15, 2024

2022 article proceedings

FAXID: FPGA-Accelerated XGBoost Inference for Data Centers using HLS

By: A. Gajjar n, P. Kashyap n , A. Aysu n, P. Franzon n , S. Dey* & C. Cheng *

topics (OpenAlex): Advanced Malware Detection Techniques; Adversarial Robustness in Machine Learning; Advanced Neural Network Applications
TL;DR: An FPGA-based XGBoost accelerator designed with High-Level Synthesis (HLS) tools and design flow accelerating binary classification inference is showcased, showing a latency speedup of the proposed design over state-of-art CPU and GPU implementations, including energy efficiency and cost-effectiveness. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID, Crossref
Added: October 11, 2022

2022 article

RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks

MLCAD '22: PROCEEDINGS OF THE 2022 ACM/IEEE 4TH WORKSHOP ON MACHINE LEARNING FOR CAD (MLCAD), pp. 167–172.

By: P. Kashyap n , A. Gajjar n, Y. Choi *, C. Wong n , D. Baron n , T. Wu n , C. Cheng *, P. Franzon n 

Contributors: P. Kashyap n 

author keywords: SerDes; receiver; behavior modeling; adaptive; generative; measurement; GAN; DFE; IBIS-AMI
topics (OpenAlex): Model Reduction and Neural Networks; Electrostatic Discharge in Electronics; Electromagnetic Compatibility and Noise Suppression
TL;DR: This work proposes a data-driven approach using generative adversarial training to model a real-world receiver with varying DFE and CTLE configurations while handling different channel conditions and bitstreams. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: October 31, 2022

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