Joyjit Kundu

According to our database, Joyjit Kundu authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Technology solutions targeting the performance of gen-AI inference in resource constrained platforms.

Joyjit Kundu, Joshua Klein, Aakash Patel, Dwaipayan Biswas

CoRR, April, 2026

Characterizing Machine Learning Force Fields as Emerging Molecular Dynamics Workloads on Graphics Processing Units.

Udari De Alwis, Benjamin E. Mayer, Tom J. Ashby, Maria Barrera, Timon Evenblij, Joyjit Kundu

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2026

2025

System-performance and cost modeling of Large Language Model training and inference.

Wenzhe Guo, Joyjit Kundu, Uras Tos, Weijiang Kong, Giuliano Sisto, Timon Evenblij, Manu Perumkunnil

CoRR, July, 2025

Energon: A Sustainability-Driven Modeling Framework for AI Data Centers.

Wenzhe Guo, Joyjit Kundu, Uras Tos, Giuliano Sisto, Cedric Rolin, Lars-Åke Ragnarsson, Timon Evenblij

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2025

Keeping up with Large Language Models: A Holistic Methodology of Compute, Memory, Communication, and Cost Modeling.

Wenzhe Guo, Joyjit Kundu, Uras Tos, Weijiang Kong, Giuliano Sisto, Timon Evenblij, Manu Perumkunnil

Proceedings of the IEEE International Symposium on Workload Characterization, 2025

A System Level Performance Evaluation for Superconducting Digital Systems.

Joyjit Kundu, Debjyoti Bhattacharjee, Nathan Josephsen, Ankit Pokhrel, Udara De Silva, Wenzhe Guo, Steven Van Winckel, Steven Brebels, Quentin Herr, Anna Herr, Manu Perumkunnil

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

Accelerating Large Language Model Training with In-Package Optical Links for Scale-Out Systems.

Aakash Patel, Dwaipayan Biswas, Joyjit Kundu, Yoojin Ban, Nicolas Pantano, Arindam Mallik, Julien Ryckaert, James Myers

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference.

Joyjit Kundu, Wenzhe Guo, Ali BanaGozar, Udari De Alwis, Sourav Sengupta, Puneet Gupta, Arindam Mallik

Proceedings of the IEEE International Symposium on Workload Characterization, 2024

2023

AMPeD: An Analytical Model for Performance in Distributed Training of Transformers.

Diksha Moolchandani, Joyjit Kundu, Frederik Ruelens, Peter Vrancx, Timon Evenblij, Manu Perumkunnil

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023