Supun Nakandala

According to our database, Supun Nakandala authored at least 26 papers between 2016 and 2023.

Collaborative distances:

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

2023

Making Data Engineering Declarative.

Michael Armbrust, Ali Ghodsi, Reynold Xin, Vuk Ercegovac, Sourav Chatterji, Eun-Gyu Kim, Paul Lappas, Yannis Papakonstantinou, Yingyi Bu, Yuhong Chen, Yijia Cui, Rahul Govind, Aakash Japi, Kiavash Kianfar, Xi Liang, Jon Mio, Mukul Murthy, Supun Nakandala, Andreas Neumann, Nitin Sharma, Yannis Sismanis, Justin Tang, Joseph Torres, Min Yang, Li Zhang, Bilal Aslam

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022

Query Optimizations for Deep Learning Systems.

Supun Nakandala

PhD thesis, 2022

Query Processing on Tensor Computation Runtimes.

Dong He, Supun Chathuranga Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi

Proc. VLDB Endow., 2022

Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets.

Supun Nakandala, Arun Kumar

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

Errata for "Cerebro: A Data System for Optimized Deep Learning Model Selection".

Supun Nakandala, Yuhao Zhang, Arun Kumar

Proc. VLDB Endow., 2021

Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration.

Liangde Li, Supun Chathuranga Nakandala, Arun Kumar

Proc. VLDB Endow., 2021

Tensors: An abstraction for general data processing.

Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi

Proc. VLDB Endow., 2021

Cerebro: A Layered Data Platform for Scalable Deep Learning.

Arun Kumar, Supun Nakandala, Yuhao Zhang, Side Li, Advitya Gemawat, Kabir Nagrecha

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Incremental and Approximate Computations for Accelerating Deep CNN Inference.

Supun Nakandala, Kabir Nagrecha, Arun Kumar, Yannis Papakonstantinou

ACM Trans. Database Syst., 2020

Query Optimization for Faster Deep CNN Explanations.

Supun Nakandala, Arun Kumar, Yannis Papakonstantinou

SIGMOD Rec., 2020

Cerebro: A Data System for Optimized Deep Learning Model Selection.

Supun Nakandala, Yuhao Zhang, Arun Kumar

Proc. VLDB Endow., 2020

Managing authentication and authorization in distributed science gateway middleware.

Marcus A. Christie, Anuj Bhandar, Supun Nakandala, Suresh Marru, Eroma Abeysinghe, Sudhakar Pamidighantam, Marlon E. Pierce

Future Gener. Comput. Syst., 2020

Vista: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale.

Supun Nakandala, Arun Kumar

Proceedings of the 2020 International Conference on Management of Data, 2020

A Tensor Compiler for Unified Machine Learning Prediction Serving.

Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Extending Relational Query Processing with ML Inference.

Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Demonstration of Krypton: Optimized CNN Inference for Occlusion-based Deep CNN Explanations.

Allen Ordookhanians, Xin Li, Supun Nakandala, Arun Kumar

Proc. VLDB Endow., 2019

Predicting Eating Events in Free Living Individuals - A Technical Report.

Jiayi Wang, Jiue-An Yang, Supun Nakandala, Arun Kumar, Marta M. Jankowska

CoRR, 2019

Cerebro: Efficient and Reproducible Model Selection on Deep Learning Systems.

Supun Nakandala, Yuhao Zhang, Arun Kumar

Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019

Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations.

Supun Nakandala, Arun Kumar, Yannis Papakonstantinou

Proceedings of the 2019 International Conference on Management of Data, 2019

Predicting Eating Events in Free Living Individuals.

Jiue-An Yang, Jiayi Wang, Supun Nakandala, Arun Kumar, Marta M. Jankowska

Proceedings of the 15th International Conference on eScience, 2019

2017

Apache Airavata Sharing Service: A Tool for Enabling User Collaboration in Science Gateways.

Supun Nakandala, Suresh Marru, Marlon E. Pierce, Sudhakar Pamidighantam, Kenneth Yoshimoto, Terri Schwartz, Subhashini Sivagnanam, Amitava Majumdar, Mark A. Miller

Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

Gendered Conversation in a Social Game-Streaming Platform.

Supun Chathuranga Nakandala

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016

Gendered Conversation in a Social Game-Streaming Platform.

Supun Nakandala, Giovanni Luca Ciampaglia, Norman Makoto Su, Yong-Yeol Ahn

CoRR, 2016

Anatomy of the SEAGrid Science Gateway.

Supun Nakandala, Sudhakar Pamidighantam, Shameera Yodage, Nipurn Doshi, Eroma Abeysinghe, Chathuri Peli Kankanamalage, Suresh Marru, Marlon E. Pierce

Proceedings of the XSEDE16 Conference on Diversity, 2016

Community Science Exemplars in SEAGrid Science Gateway: Apache Airavata Based Implementation of Advanced Infrastructure.

Sudhakar Pamidighantam, Supun Nakandala, Eroma Abeysinghe, Chathuri Wimalasena, Shameera Rathnayaka, Suresh Marru, Marlon E. Pierce

Proceedings of the International Conference on Computational Science 2016, 2016

Apache Airavata security manager: Authentication and authorization implementations for a multi-tenant escience framework.

Supun Nakandala, Hasini Gunasinghe, Suresh Marru, Marlon E. Pierce

Proceedings of the 12th IEEE International Conference on e-Science, 2016