Udari De Alwis

According to our database, Udari De Alwis authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

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

Smart Imager with Object Detection Exploiting Edge-Frame-Base Processing and Bounding Box Extraction for μW Power Purely-Harvested Sensor Nodes.

Hayate Okuhara, Udari De Alwis, Liu Yue, Karim Ali Ahmed, Massimo Alioto

Proceedings of the Design, Automation & Test in Europe Conference, 2026

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

Temporal Similarity-Based Computation Reduction for Video Transformers in Edge Camera Nodes.

Udari De Alwis, Zhongheng Xie, Massimo Alioto

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

Architecture for 3D Convolutional Neural Networks Based on Temporal Similarity Removal.

Udari De Alwis, Massimo Alioto

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

Temporal Redundancy-Based Computation Reduction for 3D Convolutional Neural Networks.

Udari De Alwis, Massimo Alioto

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

TempDiff: Feature Map-Level CNN Sparsity Enhancement at Near-Zero Memory Overhead via Temporal Difference.

Udari De Alwis, Massimo Alioto

IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

TempDiff: Temporal Difference-Based Feature Map-Level Sparsity Induction in CNNs with <4% Memory Overhead.

Udari De Alwis, Massimo Alioto

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021