Apache Airavata security manager: Authentication and authorization implementations for a multi-tenant escience framework. - Supun Nakandala; Hasini Gunasinghe; Suresh Marru; Marlon E. Pierce (eScience, 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 (ICCS, 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 (XSEDE, 2016)

Gendered Conversation in a Social Game-Streaming Platform. - Supun Nakandala; Giovanni Luca Ciampaglia; Norman Makoto Su; Yong-Yeol Ahn (CoRR, 2016)

Gendered Conversation in a Social Game-Streaming Platform. - Supun Chathuranga Nakandala (ICWSM, 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 001; Mark A. Miller (PEARC, 2017)

Predicting Eating Events in Free Living Individuals. - Jiue-An Yang; Jiayi Wang 005; Supun Nakandala; Arun Kumar 001; Marta M. Jankowska (eScience, 2019)

Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations. - Supun Nakandala; Arun Kumar 001; Yannis Papakonstantinou (SIGMOD Conference, 2019)

Cerebro: Efficient and Reproducible Model Selection on Deep Learning Systems. - Supun Nakandala; Yuhao Zhang; Arun Kumar 001 (DEEM@SIGMOD, 2019)

Predicting Eating Events in Free Living Individuals - A Technical Report. - Jiayi Wang 005; Jiue-An Yang; Supun Nakandala; Arun Kumar 001; Marta M. Jankowska (CoRR, 2019)

Demonstration of Krypton: Optimized CNN Inference for Occlusion-based Deep CNN Explanations. - Allen Ordookhanians; Xin Li; Supun Nakandala; Arun Kumar 001 (Proc. VLDB Endow., 2019)

Extending Relational Query Processing with ML Inference. - Konstantinos Karanasos; Matteo Interlandi; Fotis Psallidas; Rathijit Sen; Kwanghyun Park 001; Ivan Popivanov; Doris Xin; Supun Nakandala; Subru Krishnan; Markus Weimer; Yuan Yu; Raghu Ramakrishnan 001; et al. (CIDR, 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 (OSDI, 2020)

Vista: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale. - Supun Nakandala; Arun Kumar 001 (SIGMOD Conference, 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)

Cerebro: A Data System for Optimized Deep Learning Model Selection. - Supun Nakandala; Yuhao Zhang; Arun Kumar 001 (Proc. VLDB Endow., 2020)

Query Optimization for Faster Deep CNN Explanations. - Supun Nakandala; Arun Kumar 001; Yannis Papakonstantinou (SIGMOD Rec., 2020)

Incremental and Approximate Computations for Accelerating Deep CNN Inference. - Supun Nakandala; Kabir Nagrecha; Arun Kumar 001; Yannis Papakonstantinou (ACM Trans. Database Syst., 2020)

Cerebro: A Layered Data Platform for Scalable Deep Learning. - Arun Kumar 001; Supun Nakandala; Yuhao Zhang; Side Li; Advitya Gemawat; Kabir Nagrecha (CIDR, 2021)

Tensors: An abstraction for general data processing. - Dimitrios Koutsoukos; Supun Nakandala; Konstantinos Karanasos; Karla Saur; Gustavo Alonso; Matteo Interlandi (Proc. VLDB Endow., 2021)

Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration. - Liangde Li; Supun Chathuranga Nakandala; Arun Kumar 001 (Proc. VLDB Endow., 2021)

Errata for "Cerebro: A Data System for Optimized Deep Learning Model Selection". - Supun Nakandala; Yuhao Zhang; Arun Kumar 001 (Proc. VLDB Endow., 2021)

Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets. - Supun Nakandala; Arun Kumar 001 (SIGMOD Conference, 2022)

Query Processing on Tensor Computation Runtimes. - Dong He 002; Supun Chathuranga Nakandala; Dalitso Banda; Rathijit Sen; Karla Saur; Kwanghyun Park 001; Carlo Curino; Jesús Camacho-Rodríguez; Konstantinos Karanasos; Matteo Interlandi (Proc. VLDB Endow., 2022)

Query Optimizations for Deep Learning Systems. - Supun Nakandala (2022)

Making Data Engineering Declarative. - Michael Armbrust; Ali Ghodsi 002; Reynold Xin; Vuk Ercegovac; Sourav Chatterji; Eun-Gyu Kim; Paul Lappas; Yannis Papakonstantinou; Yingyi Bu; Yuhong Chen; Yijia Cui; Rahul Govind; et al. (CIDR, 2023)