Rathijit Sen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
15
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DaMoN | GASP: GPU-Accelerated Shortest Path for Graph Analytics. | Ian Di Dio Lavore, Rathijit Sen, Yuanyuan Tian |
| 2026 | ICDE | Exqutor: Extended Query Optimizer for Vector-Augmented Analytical Queries. | Hyunjoon Kim, Chaerim Lim, Hyeonjun An, Rathijit Sen, Kwanghyun Park |
| 2026 | SIGMOD | 22 | Jana Giceva, Eric Sedlar, Rathijit Sen |
| 2026 | SIGMOD | CoddSpeed: Hardware Accelerated Query Processing in Microsoft Fabric. | Matteo Interlandi, Nicolas Bruno, Brandon Haynes, Carlo Curino, Rathijit Sen, Yinan Li, Kaushik Rajan, Bailu Ding, Lukas M. Maas, Wei Cui, Kevin Gaffney, Mingsheng Hong, Brian Kroth, Sampath Rajendra, Peng Cheng, Surajit Chaudhuri, Johannes Gehrke, Raghu Ramakrishnan, Lidong Zhou, Momin Al-Ghosien, Craig Peeper, Marius Dumitru, Conor Cunningham, Kevin Bocksrocker, Prasanna Sundar, Ron Boskovic, YongChul Kwon, Marko Zivanovic, Runbin Shi, Krystian Sakowski, Denis Lamtsov, Josep Aguilar-Saborit, Krish Srinivasan, Adarsh Kapil, Andrew Putnam, Anudeep Kambapu, Aparna Konduri, Aaron Landy, Aaron Moore, Aaron Pitman, Artem Oks, Ashit Gosalia, Babu Kandimalla, Blake Pelton, Bogdan Crivat, Csar A. Galindo-Legaria, Chidamber Kulkarni, Jess Camacho-Rodrguez, Evgeny Babin, Hans Lehnert Marino, Igor Konev, Israel Arroyo, Luis Pearanda, Mandar Datar, Morten Borup Petersen, Nicholas Simmons, Parminder Poonian, Pravija Danda, Rob Rydberg, Esteban Calvo Vargas, Ronak Bajaj, Sai Sumanth Kammal Shetty, Sharanya Bhat, Zach Iracheta |
| 2026 | SIGMOD | 1 | Rathijit Sen, Ashvin Agrawal, Huanchen Zhang |
| 2025 | SIGMOD | Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment. | Yiwen Zhu, Rathijit Sen, Brian Kroth, Sergiy Matusevych, Andreas C. Mueller, Tengfei Huang, Rahul Challapalli, Weihan Tang, Xin He, Mo Liu, Estera Kot, Sule Kahraman, Arshdeep Sekhon, Dario Bernal, Aditya Lakra, Shaily Fozdar, Dhruv Relwani, Rui Fang, Long Tian, Karuna Sagar Krishna, Ashit Gosalia, Carlo Curino, Subru Krishnan |
| 2024 | DaMoN | Performance or Efficiency? A Tale of Two Cores for DB Workloads. | Rathijit Sen |
| 2023 | CIDR | The Tensor Data Platform: Towards an AI-centric Database System. | Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jess Camacho-Rodrguez, Matteo Interlandi |
| 2023 | DaMoN | Query Processing on Gaming Consoles. | Wei Cui, Qianxi Zhang, Spyros Blanas, Jess Camacho-Rodrguez, Brandon Haynes, Yinan Li, Ravi Ramamurthy, Peng Cheng, Rathijit Sen, Matteo Interlandi |
| 2023 | DaMoN | Random Forests over normalized data in CPU-GPU DBMSes. | Zezhou Huang, Pavan Kalyan Damalapati, Rathijit Sen, Eugene Wu |
| 2023 | DaMoN | Microarchitectural Analysis of Graph BI Queries on RDBMS. | Rathijit Sen, Yuanyuan Tian |
| 2023 | EDBT | Predictive Price-Performance Optimization for Serverless Query Processing. | Rathijit Sen, Abhishek Roy, Alekh Jindal |
| 2023 | SIGMOD | Towards Building Autonomous Data Services on Azure. | Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jess Camacho-Rodrguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Mller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan |
| 2022 | EDBT | Towards Optimal Resource Allocation for Big Data Analytics. | Anish Pimpley, Shuo Li, Rathijit Sen, Soundararajan Srinivasan, Alekh Jindal |
| 2022 | FAST | NyxCache: Flexible and Efficient Multi-tenant Persistent Memory Caching. | Kan Wu, Kaiwei Tu, Yuvraj Patel, Rathijit Sen, Kwanghyun Park, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau |
| 2022 | ICS | Calipers: a criticality-aware framework for modeling processor performance. | Hossein Golestani, Rathijit Sen, Vinson Young, Gagan Gupta |
| 2022 | SIGMOD | End-to-end Optimization of Machine Learning Prediction Queries. | Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos |
| 2021 | FAST | The Storage Hierarchy is Not a Hierarchy: Optimizing Caching on Modern Storage Devices with Orthus. | Kan Wu, Zhihan Guo, Guanzhou Hu, Kaiwei Tu, Ramnatthan Alagappan, Rathijit Sen, Kwanghyun Park, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau |
| 2021 | ICDE | FPGA for Aggregate Processing: The Good, The Bad, and The Ugly. | Zubeyr F. Eryilmaz, Aarati Kakaraparthy, Jignesh M. Patel, Rathijit Sen, Kwanghyun Park |
| 2021 | ICDE | Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft. | Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel |
| 2021 | ISPASS | Hardware Acceleration for DBMS Machine Learning Scoring: Is It Worth the Overheads? | Zahra Azad, Rathijit Sen, Kwanghyun Park, Ajay Joshi |
| 2021 | ISPASS | Performance Characterization of .NET Benchmarks. | Aniket Deshmukh, Ruihao Li, Rathijit Sen, Robert R. Henry, Monica Beckwith, Gagan Gupta |
| 2020 | CIDR | Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. | Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu |
| 2020 | CIDR | 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 |
| 2020 | DaMoN | Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS. | Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do |
| 2020 | SIGMOD | Automated tuning of query degree of parallelism via machine learning. | Zhiwei Fan, Rathijit Sen, Paraschos Koutris, Aws Albarghouthi |
| 2019 | CLOUD | Peregrine: Workload Optimization for Cloud Query Engines. | Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan |
| 2019 | DaMoN | Exploiting Intel Optane SSD for Microsoft SQL Server. | Kan Wu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Rathijit Sen, Kwanghyun Park |
| 2018 | HPCA | Characterizing Resource Sensitivity of Database Workloads. | Rathijit Sen, Karthik Ramachandra |
| 2017 | ISLPED | Frequency governors for cloud database OLTP workloads. | Rathijit Sen, Alan Halverson |
| 2013 | SIGMETRICS | Reuse-based online models for caches. | Rathijit Sen, David A. Wood |
| 2009 | ISSTA | Cooperative crug isolation. | Aditya V. Thakur, Rathijit Sen, Ben Liblit, Shan Lu |
| 2007 | EMSOFT | WCET estimation for executables in the presence of data caches. | Rathijit Sen, Y. N. Srikant |
| 2007 | MEMOCODE | Executable Analysis using Abstract Interpretation with Circular Linear Progressions. | Rathijit Sen, Y. N. Srikant |