Supun Nakandala

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 26

Top Topics

Model Selection

Query Processing

Approximate Inference

Top Venues

Proc. VLDB Endow.

Publications

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
Making Data Engineering Declarative. CIDR (2023)
Supun Nakandala, Arun Kumar
Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets. SIGMOD Conference (2022)
Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
Query Processing on Tensor Computation Runtimes. CoRR (2022)
Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi
Tensors: An abstraction for general data processing. Proc. VLDB Endow. 14 (10) (2021)
Arun Kumar, Supun Nakandala, Yuhao Zhang, Side Li, Advitya Gemawat, Kabir Nagrecha
Cerebro: A Layered Data Platform for Scalable Deep Learning. CIDR (2021)
Supun Nakandala, Yuhao Zhang, Arun Kumar
Errata for "Cerebro: A Data System for Optimized Deep Learning Model Selection". Proc. VLDB Endow. 14 (6) (2021)
Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi
A Tensor Compiler for Unified Machine Learning Prediction Serving. CoRR (2020)
Supun Nakandala, Kabir Nagrecha, Arun Kumar, Yannis Papakonstantinou
Incremental and Approximate Computations for Accelerating Deep CNN Inference. ACM Trans. Database Syst. 45 (4) (2020)
Marcus A. Christie, Anuj Bhandar, Supun Nakandala, Suresh Marru, Eroma Abeysinghe, Sudhakar Pamidighantam, Marlon E. Pierce
Managing authentication and authorization in distributed science gateway middleware. Future Gener. Comput. Syst. 111 (2020)
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
Extending Relational Query Processing with ML Inference. CIDR (2020)
Supun Nakandala, Arun Kumar
Vista: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale. SIGMOD Conference (2020)
Supun Nakandala, Yuhao Zhang, Arun Kumar
Cerebro: A Data System for Optimized Deep Learning Model Selection. Proc. VLDB Endow. 13 (11) (2020)
Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi
A Tensor Compiler for Unified Machine Learning Prediction Serving. OSDI (2020)
Supun Nakandala, Arun Kumar, Yannis Papakonstantinou
Query Optimization for Faster Deep CNN Explanations. SIGMOD Rec. 49 (1) (2020)
Allen Ordookhanians, Xin Li, Supun Nakandala, Arun Kumar
Demonstration of Krypton: Optimized CNN Inference for Occlusion-based Deep CNN Explanations. Proc. VLDB Endow. 12 (12) (2019)
Jiue-An Yang, Jiayi Wang, Supun Nakandala, Arun Kumar, Marta M. Jankowska
Predicting Eating Events in Free Living Individuals. eScience (2019)
Jiayi Wang, Jiue-An Yang, Supun Nakandala, Arun Kumar, Marta M. Jankowska
Predicting Eating Events in Free Living Individuals - A Technical Report. CoRR (2019)
Supun Nakandala, Yuhao Zhang, Arun Kumar
Cerebro: Efficient and Reproducible Model Selection on Deep Learning Systems. DEEM@SIGMOD (2019)
Jiue-An Yang, Jiayi Wang, Supun Nakandala, Arun Kumar, Marta M. Jankowska
Predicting Eating Events in Free Living Individuals. eScience (2019)
Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino
Extending Relational Query Processing with ML Inference. CoRR (2019)
Supun Nakandala, Arun Kumar, Yannis Papakonstantinou
Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations. SIGMOD Conference (2019)
Supun Nakandala, Suresh Marru, Marlon E. Pierce, Sudhakar Pamidighantam, Kenneth Yoshimoto, Terri Schwartz, Subhashini Sivagnanam, Amitava Majumdar, Mark A. Miller
Apache Airavata Sharing Service: A Tool for Enabling User Collaboration in Science Gateways. PEARC (2017)
Supun Nakandala, Hasini Gunasinghe, Suresh Marru, Marlon E. Pierce
Apache Airavata security manager: Authentication and authorization implementations for a multi-tenant escience framework. eScience (2016)
Supun Nakandala, Giovanni Luca Ciampaglia, Norman Makoto Su, Yong-Yeol Ahn
Gendered Conversation in a Social Game-Streaming Platform. CoRR (2016)
Supun Nakandala, Sudhakar Pamidighantam, Shameera Yodage, Nipurn Doshi, Eroma Abeysinghe, Chathuri Peli Kankanamalage, Suresh Marru, Marlon E. Pierce
Anatomy of the SEAGrid Science Gateway. XSEDE (2016)
Sudhakar Pamidighantam, Supun Nakandala, Eroma Abeysinghe, Chathuri Wimalasena, Shameera Rathnayaka, Suresh Marru, Marlon E. Pierce
Community Science Exemplars in SEAGrid Science Gateway: Apache Airavata Based Implementation of Advanced Infrastructure. ICCS (2016)