Rathijit Sen

Orcid: 0000-0003-4736-2837

According to our database1, Rathijit Sen authored at least 48 papers between 2007 and 2024.

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Bibliography

2024
Performance or Efficiency? A Tale of Two Cores for DB Workloads.
Proceedings of the 20th International Workshop on Data Management on New Hardware, 2024

2023
GPU Database Systems Characterization and Optimization.
Proc. VLDB Endow., November, 2023

Optimizing Data Pipelines for Machine Learning in Feature Stores.
Proc. VLDB Endow., 2023

JoinBoost: Grow Trees Over Normalized Data Using Only SQL.
Proc. VLDB Endow., 2023

Runtime Variation in Big Data Analytics.
Proc. ACM Manag. Data, 2023

Revisiting Query Performance in GPU Database Systems.
CoRR, 2023


Predictive Price-Performance Optimization for Serverless Query Processing.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Microarchitectural Analysis of Graph BI Queries on RDBMS.
Proceedings of the 19th International Workshop on Data Management on New Hardware, 2023

Random Forests over normalized data in CPU-GPU DBMSes.
Proceedings of the 19th International Workshop on Data Management on New Hardware, 2023

Query Processing on Gaming Consoles.
Proceedings of the 19th International Workshop on Data Management on New Hardware, 2023

The Tensor Data Platform: Towards an AI-centric Database System.
Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022
Query Processing on Tensor Computation Runtimes.
Proc. VLDB Endow., 2022

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.
Proc. VLDB Endow., 2022

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem.
CoRR, 2022

End-to-end Optimization of Machine Learning Prediction Queries.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Calipers: a criticality-aware framework for modeling processor performance.
Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

NyxCache: Flexible and Efficient Multi-tenant Persistent Memory Caching.
Proceedings of the 20th USENIX Conference on File and Storage Technologies, 2022

Towards Optimal Resource Allocation for Big Data Analytics.
Proceedings of the 25th International Conference on Extending Database Technology, 2022

2021
AutoExecutor: Predictive Parallelism for Spark SQL Queries.
Proc. VLDB Endow., 2021

Predictive Price-Performance Optimization for Serverless Query Processing.
CoRR, 2021

Optimal Resource Allocation for Serverless Queries.
CoRR, 2021

Performance Characterization of .NET Benchmarks.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

Hardware Acceleration for DBMS Machine Learning Scoring: Is It Worth the Overheads?
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

FPGA for Aggregate Processing: The Good, The Bad, and The Ugly.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

The Storage Hierarchy is Not a Hierarchy: Optimizing Caching on Modern Storage Devices with Orthus.
Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021

2020
AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft.
Proc. VLDB Endow., 2020

A Comparative Exploration of ML Techniques for Tuning Query Degree of Parallelism.
CoRR, 2020

Automated tuning of query degree of parallelism via machine learning.
Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2020

Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS.
Proceedings of the 16th International Workshop on Data Management on New Hardware, 2020

Extending Relational Query Processing with ML Inference.
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020


2019
Performance Modeling and Bottleneck Analysis of EDGE Processors Using Dependence Graphs.
IEEE Comput. Archit. Lett., 2019

Exploiting Intel Optane SSD for Microsoft SQL Server.
Proceedings of the 15th International Workshop on Data Management on New Hardware, 2019

Peregrine: Workload Optimization for Cloud Query Engines.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018
Characterizing Resource Sensitivity of Database Workloads.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

2017
Pareto Governors for Energy-Optimal Computing.
ACM Trans. Archit. Code Optim., 2017

ROSA: R Optimizations with Static Analysis.
CoRR, 2017

Energy-Proportional Computing: A New Definition.
Computer, 2017

Frequency governors for cloud database OLTP workloads.
Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

2016
GPGPU Footprint Models to Estimate per-Core Power.
IEEE Comput. Archit. Lett., 2016

2013
Reuse-based online models for caches.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2013

2011
The gem5 simulator.
SIGARCH Comput. Archit. News, 2011

2009
Sound and Efficient WCET Analysis in the Presence of Timing Anomalies.
Proceedings of the 9th Intl. Workshop on Worst-Case Execution Time Analysis, 2009

Cooperative crug isolation.
Proceedings of the International Workshop on Dynamic Analysis: held in conjunction with the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2009), 2009

2007
Executable Analysis using Abstract Interpretation with Circular Linear Progressions.
Proceedings of the 5th ACM & IEEE International Conference on Formal Methods and Models for Co-Design (MEMOCODE 2007), May 30, 2007

WCET estimation for executables in the presence of data caches.
Proceedings of the 7th ACM & IEEE International conference on Embedded software, 2007


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