Rathijit Sen

68 papers A* 4A 7B 4C 7Misc 1Journal 38Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization.
CoRR
Hyeonjun An, Sihyun Kim, Chaerim Lim, Hyunjoon Kim, Rathijit Sen, Sangmin Jung, Hyeonsoo Lee, Dongwook Kim, Takki Yu, Jinkyu Jeong, Youngsok Kim, Kwanghyun Park
2026 J jnl
Nexus: Inferring Join Graphs from Metadata Alone via Iterative Low-Rank Matrix Completion.
CoRR
Tianji Cong, Yuanyuan Tian, Andreas Müller, Rathijit Sen, Yeye He, Fotis Psallidas, Shaleen Deep, H. V. Jagadish
2026 J jnl
ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs.
CoRR
Gwangoo Yeo, Zhiyang Shen, Wei Cui, Matteo Interlandi, Rathijit Sen, Bailu Ding, Qi Chen, Minsoo Rhu
2025 J jnl
Exqutor: Extended Query Optimizer for Vector-augmented Analytical Queries.
CoRR
Hyunjoon Kim, Chaerim Lim, Hyeonjun An, Rathijit Sen, Kwanghyun Park
2025 J jnl
GPU Acceleration of SQL Analytics on Compressed Data.
CoRR
Zezhou Huang, Krystian Sakowski, Hans Lehnert, Wei Cui, Carlo Curino, Matteo Interlandi, Marius Dumitru, Rathijit Sen
2025 J jnl
GPU Acceleration of SQL Analytics on Compressed Data.
Proc. VLDB Endow.
Zezhou Huang, Krystian Sakowski, Hans Lehnert, Wei Cui, Carlo Curino, Matteo Interlandi, Marius Dumitru, Rathijit Sen
2025 — conf
Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment.
SIGMOD Conference Companion
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
2025 J jnl
Terabyte-Scale Analytics in the Blink of an Eye.
CoRR
Bowen Wu, Wei Cui, Carlo Curino, Matteo Interlandi, Rathijit Sen
2025 J jnl
Terabyte-Scale Analytics in the Blink of an Eye.
Proc. VLDB Endow.
Bowen Wu, Wei Cui, Carlo Curino, Matteo Interlandi, Rathijit Sen
2025 J jnl
Zorse: Optimizing LLM Training Efficiency on Heterogeneous GPU Clusters.
CoRR
Runsheng Benson Guo, Utkarsh Anand, Khuzaima Daudjee, Rathijit Sen
2024 C conf
Performance or Efficiency? A Tale of Two Cores for DB Workloads.
DaMoN
Rathijit Sen
2024 J jnl
Towards Building Autonomous Data Services on Azure.
CoRR
Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, 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 Müller, 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
2023 J jnl
GPU Database Systems Characterization and Optimization.
Proc. VLDB Endow.
Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim
2023 J jnl
JoinBoost: Grow Trees Over Normalized Data Using Only SQL.
CoRR
Zezhou Huang, Rathijit Sen, Jiaxiang Liu, Eugene Wu
2023 J jnl
JoinBoost: Grow Trees Over Normalized Data Using Only SQL.
Proc. VLDB Endow.
Zezhou Huang, Rathijit Sen, Jiaxiang Liu, Eugene Wu
2023 C conf
Microarchitectural Analysis of Graph BI Queries on RDBMS.
DaMoN
Rathijit Sen, Yuanyuan Tian
2023 J jnl
Optimizing Data Pipelines for Machine Learning in Feature Stores.
Proc. VLDB Endow.
Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, Jesús Camacho-Rodríguez
2023 B conf
Predictive Price-Performance Optimization for Serverless Query Processing.
EDBT
Rathijit Sen, Abhishek Roy, Alekh Jindal
2023 C conf
Query Processing on Gaming Consoles.
DaMoN
Wei Cui, Qianxi Zhang, Spyros Blanas, Jesús Camacho-Rodríguez, Brandon Haynes, Yinan Li, Ravi Ramamurthy, Peng Cheng, Rathijit Sen, Matteo Interlandi
2023 C conf
Random Forests over normalized data in CPU-GPU DBMSes.
DaMoN
Zezhou Huang, Pavan Kalyan Damalapati, Rathijit Sen, Eugene Wu
2023 J jnl
Revisiting Query Performance in GPU Database Systems.
CoRR
Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim
2023 J jnl
Runtime Variation in Big Data Analytics.
CoRR
Yiwen Zhu, Rathijit Sen, Robert Horton, John Mark Agosta
2023 J jnl
Runtime Variation in Big Data Analytics.
Proc. ACM Manag. Data
Yiwen Zhu, Rathijit Sen, Robert Horton, John Mark Agosta
2023 A conf
The Tensor Data Platform: Towards an AI-centric Database System.
CIDR
Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jesús Camacho-Rodríguez, Matteo Interlandi
2023 — conf
Towards Building Autonomous Data Services on Azure.
SIGMOD Conference Companion
Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, 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 Müller, 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 J jnl
Calipers: A Criticality-aware Framework for Modeling Processor Performance.
CoRR
Hossein Golestani, Rathijit Sen, Vinson Young, Gagan Gupta
2022 A conf
Calipers: a criticality-aware framework for modeling processor performance.
ICS
Hossein Golestani, Rathijit Sen, Vinson Young, Gagan Gupta
2022 — conf
End-to-end Optimization of Machine Learning Prediction Queries.
SIGMOD Conference
Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos
2022 J jnl
End-to-end Optimization of Machine Learning Prediction Queries.
CoRR
Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos
2022 A conf
NyxCache: Flexible and Efficient Multi-tenant Persistent Memory Caching.
FAST
Kan Wu, Kaiwei Tu, Yuvraj Patel, Rathijit Sen, Kwanghyun Park, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
2022 J jnl
Query Processing on Tensor Computation Runtimes.
CoRR
Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
2022 J jnl
Query Processing on Tensor Computation Runtimes.
Proc. VLDB Endow.
Dong He, Supun Chathuranga Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
2022 J jnl
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.
CoRR
Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Dong He, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi
2022 J jnl
Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.
Proc. VLDB Endow.
Yuki Asada, Victor Fu, Apurva Gandhi, Advitya Gemawat, Lihao Zhang, Vivek Gupta, Ehi Nosakhare, Dalitso Banda, Rathijit Sen, Matteo Interlandi
2022 J jnl
The Tensor Data Platform: Towards an AI-centric Database System.
CoRR
Apurva Gandhi, Yuki Asada, Victor Fu, Advitya Gemawat, Lihao Zhang, Rathijit Sen, Carlo Curino, Jesús Camacho-Rodríguez, Matteo Interlandi
2022 B conf
Towards Optimal Resource Allocation for Big Data Analytics.
EDBT
Anish Pimpley, Shuo Li, Rathijit Sen, Soundararajan Srinivasan, Alekh Jindal
2021 J jnl
AutoExecutor: Predictive Parallelism for Spark SQL Queries.
Proc. VLDB Endow.
Rathijit Sen, Abhishek Roy, Alekh Jindal, Rui Fang, Jeff Zheng, Xiaolei Liu, Ruiping Li
2021 A* conf
FPGA for Aggregate Processing: The Good, The Bad, and The Ugly.
ICDE
Zubeyr F. Eryilmaz, Aarati Kakaraparthy, Jignesh M. Patel, Rathijit Sen, Kwanghyun Park
2021 B conf
Hardware Acceleration for DBMS Machine Learning Scoring: Is It Worth the Overheads?
ISPASS
Zahra Azad, Rathijit Sen, Kwanghyun Park, Ajay Joshi
2021 A* conf
Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft.
ICDE
Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel
2021 J jnl
Optimal Resource Allocation for Serverless Queries.
CoRR
Anish Pimpley, Shuo Li, Anubha Srivastava, Vishal Rohra, Yi Zhu, Soundararajan Srinivasan, Alekh Jindal, Hiren Patel, Shi Qiao, Rathijit Sen
2021 B conf
Performance Characterization of .NET Benchmarks.
ISPASS
Aniket Deshmukh, Ruihao Li, Rathijit Sen, Robert R. Henry, Monica Beckwith, Gagan Gupta
2021 J jnl
Predictive Price-Performance Optimization for Serverless Query Processing.
CoRR
Rathijit Sen, Abhishek Roy, Alekh Jindal
2021 A conf
The Storage Hierarchy is Not a Hierarchy: Optimizing Caching on Modern Storage Devices with Orthus.
FAST
Kan Wu, Zhihan Guo, Guanzhou Hu, Kaiwei Tu, Ramnatthan Alagappan, Rathijit Sen, Kwanghyun Park, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
2020 J jnl
A Comparative Exploration of ML Techniques for Tuning Query Degree of Parallelism.
CoRR
Zhiwei Fan, Rathijit Sen, Paraschos Koutris, Aws Albarghouthi
2020 J jnl
AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft.
Proc. VLDB Endow.
Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao
2020 — conf
Automated tuning of query degree of parallelism via machine learning.
aiDM@SIGMOD
Zhiwei Fan, Rathijit Sen, Paraschos Koutris, Aws Albarghouthi
2020 A conf
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.
CIDR
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 A conf
Extending Relational Query Processing with ML Inference.
CIDR
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 J jnl
Lessons learned from the early performance evaluation of Intel Optane DC Persistent Memory in DBMS.
CoRR
Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do
2020 C conf
Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS.
DaMoN
Yinjun Wu, Kwanghyun Park, Rathijit Sen, Brian Kroth, Jaeyoung Do
2019 J jnl
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML.
CoRR
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
2019 C conf
Exploiting Intel Optane SSD for Microsoft SQL Server.
DaMoN
Kan Wu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Rathijit Sen, Kwanghyun Park
2019 J jnl
Extending Relational Query Processing with ML Inference.
CoRR
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
2019 — conf
Peregrine: Workload Optimization for Cloud Query Engines.
SoCC
Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan
2019 J jnl
Performance Modeling and Bottleneck Analysis of EDGE Processors Using Dependence Graphs.
IEEE Comput. Archit. Lett.
Hossein Golestani, Gagan Gupta, Rathijit Sen
2018 A* conf
Characterizing Resource Sensitivity of Database Workloads.
HPCA
Rathijit Sen, Karthik Ramachandra
2017 J jnl
Energy-Proportional Computing: A New Definition.
Computer
Rathijit Sen, David A. Wood
2017 A conf
Frequency governors for cloud database OLTP workloads.
ISLPED
Rathijit Sen, Alan Halverson
2017 J jnl
Pareto Governors for Energy-Optimal Computing.
ACM Trans. Archit. Code Optim.
Rathijit Sen, David A. Wood
2017 J jnl
ROSA: R Optimizations with Static Analysis.
CoRR
Rathijit Sen, Jianqiao Zhu, Jignesh M. Patel, Somesh Jha
2016 J jnl
GPGPU Footprint Models to Estimate per-Core Power.
IEEE Comput. Archit. Lett.
Rathijit Sen, David A. Wood
2013 A* conf
Reuse-based online models for caches.
SIGMETRICS
Rathijit Sen, David A. Wood
2011 J jnl
The gem5 simulator.
SIGARCH Comput. Archit. News
Nathan L. Binkert, Bradford M. Beckmann, Gabriel Black, Steven K. Reinhardt, Ali G. Saidi, Arkaprava Basu, Joel Hestness, Derek Hower, Tushar Krishna, Somayeh Sardashti, Rathijit Sen, Korey Sewell, Muhammad Shoaib Bin Altaf, Nilay Vaish, Mark D. Hill, David A. Wood
2009 — conf
Cooperative crug isolation.
WODA
Aditya V. Thakur, Rathijit Sen, Ben Liblit, Shan Lu
2009 — conf
Sound and Efficient WCET Analysis in the Presence of Timing Anomalies.
WCET
Jan Reineke, Rathijit Sen
2007 C conf
Executable Analysis using Abstract Interpretation with Circular Linear Progressions.
MEMOCODE
Rathijit Sen, Y. N. Srikant
2007 Misc conf
WCET estimation for executables in the presence of data caches.
EMSOFT
Rathijit Sen, Y. N. Srikant