G. Abarajithan

According to our database, G. Abarajithan authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

cgra4ml: A Hardware/Software Framework to Implement Neural Networks for Scientific Edge Computing.

G. Abarajithan, Zhenghua Ma, Ravidu Munasinghe, Francesco Restuccia, Ryan Kastner

ACM Trans. Reconfigurable Technol. Syst., June, 2026

Design Rules for Extreme-Edge Scientific Computing on AI Engines.

Zhenghua Ma, G. Abarajithan, Dimitrios Danopoulos, Olivia Weng, Francesco Restuccia, Ryan Kastner

CoRR, April, 2026

FireBridge: Cycle-Accurate Hardware + Firmware Co-Verification for Modern Accelerators.

G. Abarajithan, Zhenghua Ma, Francesco Restuccia, Ryan Kastner

CoRR, March, 2026

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP).

Julia Gonski, Jenni Ott, Shiva Abbaszadeh, Sagar Addepalli, Matteo Cremonesi, Jennet Dickinson, Giuseppe Di Guglielmo, Erdem Yigit Ertorer, Lindsey Gray, Ryan Herbst, Christian Herwig, Tae Min Hong, Benedikt Maier, Maryam Bayat Makou, David Miller, Mark S. Neubauer, Cristián Peña, Dylan Rankin, Seon-Hee Seo, Giordon Stark, Alexander Tapper, Audrey Corbeil Therrien, Ioannis Xiotidis, Keisuke Yoshihara, G. Abarajithan, Nural Akchurin, Carlos Argüelles, Saptaparna Bhattacharya, Lorenzo Borella, Christian Boutan, Tom Braine, James Brau, Martin Breidenbach, Antonio Chahine, Talal Ahmed Chowdhury, Yuan-Tang Chou, Seokju Chung, Alberto Coppi, Mariarosaria D'Alfonso, Abhilasha Dave, Chance Desmet, Angela Di Fulvio, Karri DiPetrillo, Javier Duarte, Auralee Edelen, Jan Eysermans, Yongbin Feng, Emmett Forrestel, Dolores Garcia, Loredana Gastaldo, Julián García Pardiñas, Lino Gerlach, Loukas Gouskos, Katya Govorkova, Carl Grace, Christopher Grant, Philip Harris, Ciaran Hasnip, Timon Heim, Abraham Holtermann, Gian Michele Innocenti, Koji Ishidoshiro, Miaochen Jin, Jyothisraj Johnson, Stephen Jones, Andreas Jung, Georgia Karagiorgi, Ryan Kastner, Nicholas Kamp, Doojin Kim, Kyoungchul Kong, Katie Kudela, Jelena Lalic, Bo-Cheng Lai, Yun-Tsung Lai, Tommy Lam, Jeffrey Lazar, Aobo Li, Zepeng Li, Haoyun Liu, Vladimir Loncar, Luca Macchiarulo, Christopher Madrid, Zhenghua Ma, Prashansa Mukim, Victoria Nguyen, Sungbin Oh, Isobel Ojalvo, Hideyoshi Ozaki, Simone Pagan Griso, Myeonghun Park, Christoph Paus, Santosh Parajuli, Benjamin Parpillon, Sara Pozzi, Ema Puljak

CoRR, February, 2026

Reconfigurable Computing Challenge: Transformer for Jet Tagging on Versal AI Engines.

Gram Koski, Sean Lipps, Zhenghua Ma, G. Abarajithan, Ryan Kastner

Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

2024

Tailor: Altering Skip Connections for Resource-Efficient Inference.

Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, G. Abarajithan, Nojan Sheybani, Andres Meza, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner

ACM Trans. Reconfigurable Technol. Syst., March, 2024

CGRA4ML: A Framework to Implement Modern Neural Networks for Scientific Edge Computing.

G. Abarajithan, Zhenghua Ma, Zepeng Li, Shrideep Koparkar, Ravidu Munasinghe, Francesco Restuccia, Ryan Kastner

CoRR, 2024

2023

Within-Camera Multilayer Perceptron DVS Denoising.

Antonio Rios-Navarro, S. Guo, G. Abarajithan, K. Vijayakumar, Alejandro Linares-Barranco, Thea Aarrestad, Ryan Kastner, Tobi Delbruck

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Mostly-Online CAS Teaching Experience.

Chamith Wijenayake, Kithmin Wickremasinghe, G. Abarajithan, Arjuna Madanayake, Chamira U. S. Edussooriya, K. Samarasinghe

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021

Kraken: An Efficient Engine with a Uniform Dataflow for Deep Neural Networks.

G. Abarajithan, Chamira U. S. Edussooriya

CoRR, 2021