Sunil Thulasidasan

According to our database, Sunil Thulasidasan authored at least 31 papers between 2002 and 2023.

Collaborative distances:

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

2023

Smart Camera Traps: Enabling Energy-Efficient Edge-AI for Remote Monitoring of Wildlife.

Dhruv Tulasi, Alys Granados, Prabath Gunawardane, Abhay Kashyap, Zara McDonald, Sunil Thulasidasan

Proceedings of the 1st ACM SIGSPATIAL International Workshop on AI-driven Spatio-temporal Data Analysis for Wildlife Conservation, 2023

2021

An Effective Baseline for Robustness to Distributional Shift.

Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Autonomous Control of a Particle Accelerator using Deep Reinforcement Learning.

Xiaoying Pang, Sunil Thulasidasan, Larry Rybarcyk

CoRR, 2020

Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports.

Sayera Dhaubhadel, Jamaludin Mohd-Yusof, Kumkum Ganguly, Gopinath Chennupati, Sunil Thulasidasan, Nicolas W. Hengartner, Brent J. Mumphrey, Eric B. Durbin, Jennifer A. Doherty, Mireille Lemieux, Noah Schaefferkoetter, Georgia D. Tourassi, Linda Coyle, Lynne Penberthy, Benjamin McMahon, Tanmoy Bhattacharya

CoRR, 2020

2019

On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks.

Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes, Tanmoy Bhattacharya, Sarah Michalak

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Combating Label Noise in Deep Learning using Abstention.

Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff A. Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

An analytical memory hierarchy model for performance prediction.

Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Sunil Thulasidasan

Proceedings of the 2017 Winter Simulation Conference, 2017

A Scalable Analytical Memory Model for CPU Performance Prediction.

Gopinath Chennupati, Nandakishore Santhi, Robert F. Bird, Sunil Thulasidasan, Abdel-Hameed A. Badawy, Satyajayant Misra, Stephan J. Eidenbenz

Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2017

Acoustic classification using semi-supervised Deep Neural Networks and stochastic entropy-regularization over nearest-neighbor graphs.

Sunil Thulasidasan, Jeffrey A. Bilmes

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

AMM: Scalable Memory Reuse Model to Predict the Performance of Physics Codes.

Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Sunil Thulasidasan

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Discrete event performance prediction of speculatively parallel temperature-accelerated dynamics.

Richard J. Zamora, Arthur F. Voter, Danny Perez, Nandakishore Santhi, Susan M. Mniszewski, Sunil Thulasidasan, Stephan J. Eidenbenz

Simul., 2016

Efficient Distributed Semi-Supervised Learning using Stochastic Regularization over Affinity Graphs.

Sunil Thulasidasan, Jeffrey A. Bilmes, Garrett T. Kenyon

CoRR, 2016

Semi-Supervised Phone Classification using Deep Neural Networks and Stochastic Graph-Based Entropic Regularization.

Sunil Thulasidasan, Jeffrey A. Bilmes

CoRR, 2016

A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance.

Chandrashekhar Lavania, Sunil Thulasidasan, Anthony LaMarca, Jeffrey Scofield, Jeff A. Bilmes

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

A study of the structure and vulnerabilities of metropolitan area networks.

Jiangzhuo Chen, V. S. Anil Kumar, Madhav V. Marathe, Ravi Sundaram, Mayur Thakur, Sunil Thulasidasan

Proceedings of the 8th International Conference on Communication Systems and Networks, 2016

2015

All-Pairs Shortest Path algorithms for planar graph for GPU-accelerated clusters.

Hristo N. Djidjev, Guillaume Chapuis, Rumen Andonov, Sunil Thulasidasan, Dominique Lavenier

J. Parallel Distributed Comput., 2015

2014

Developing parallel, discrete event simulations in Python - first results and user experiences with the SimX library.

Sunil Thulasidasan, Lukas Kroc, Stephan J. Eidenbenz

Proceedings of the 4th International Conference On Simulation And Modeling Methodologies, 2014

Efficient Multi-GPU Computation of All-Pairs Shortest Paths.

Hristo N. Djidjev, Sunil Thulasidasan, Guillaume Chapuis, Rumen Andonov, Dominique Lavenier

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

A comparative study of two models for celebrity identification on Twitter.

M. S. Srinivasan, Srinath Srinivasa, Sunil Thulasidasan

Proceedings of the 20th International Conference on Management of Data, 2014

2012

SimCore: A Library for Rapid Development of Large Scale Parallel Simulations.

Sunil Thulasidasan, Lukas Kroc, Stephan J. Eidenbenz

Proceedings of the SIMULTECH 2012 - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Rome, Italy, 28, 2012

2011

Heuristic acceleration of routing in transportation simulations using GPUs.

Sunil Thulasidasan

Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques, 2011

2010

Criticality analysis of Internet infrastructure.

Guanhua Yan, Stephan J. Eidenbenz, Sunil Thulasidasan, Pallab Datta, Venkatesh Ramaswamy

Comput. Networks, 2010

Explicit Spatial Scattering for Load Balancing in Conservatively Synchronized Parallel Discrete Event Simulations.

Sunil Thulasidasan, Shiva Prasad Kasiviswanathan, Stephan J. Eidenbenz, Philip Romero

Proceedings of the 24th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2010

2009

Accelerating Traffic Microsimulations: A Parallel Discrete-event Queue-based Approach for Speed and Scale.

Sunil Thulasidasan, Stephan J. Eidenbenz

Proceedings of the 2009 Winter Simulation Conference, 2009

Large-scale telephone network simulation: discrete event vs. steady state.

Russell Bent, Stephan J. Eidenbenz, Sunil Thulasidasan

Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 2009, 2009

Designing systems for large-scale, discrete-event simulations: Experiences with the FastTrans parallel microsimulator.

Sunil Thulasidasan, Shiva Prasad Kasiviswanathan, Stephan J. Eidenbenz, Emanuele Galli, Susan M. Mniszewski, Philip Romero

Proceedings of the 16th International Conference on High Performance Computing, 2009

2006

Semantic Compression of TCP Traces.

Gabriel Istrate, Anders Hansson, Sunil Thulasidasan, Madhav V. Marathe, Christopher L. Barrett

Proceedings of the NETWORKING 2006, 2006

2004

User-space auto-tuning for TCP flow control in computational grids.

Mark K. Gardner, Sunil Thulasidasan, Wu-chun Feng

Comput. Commun., 2004

2003

Optimizing GridFTP through Dynamic Right-Sizing.

Sunil Thulasidasan, Wu-chun Feng, Mark K. Gardner

Proceedings of the 12th International Symposium on High-Performance Distributed Computing (HPDC-12 2003), 2003

2002

Using Steady- State TCP Behavior for Proactive Queue Management.

Sunil Thulasidasan, Wu-chun Feng

Proceedings of the International Conference on Internet Computing, 2002

GREEN: proactive queue management over a best-effort network.

Wu-chun Feng, Apu Kapadia, Sunil Thulasidasan

Proceedings of the Global Telecommunications Conference, 2002