Suivre
Rathijit Sen
Rathijit Sen
Microsoft Gray Systems Lab
Adresse e-mail validée de microsoft.com
Titre
Citée par
Citée par
Année
The gem5 simulator
N Binkert, B Beckmann, G Black, SK Reinhardt, A Saidi, A Basu, ...
ACM SIGARCH computer architecture news 39 (2), 1-7, 2011
63112011
Extending relational query processing with ML inference
K Karanasos, M Interlandi, D Xin, F Psallidas, R Sen, K Park, I Popivanov, ...
arXiv preprint arXiv:1911.00231, 2019
892019
Reuse-based online models for caches
R Sen, DA Wood
Proceedings of the ACM SIGMETRICS/international conference on Measurement …, 2013
772013
WCET estimation for executables in the presence of data caches
R Sen, YN Srikant
Proceedings of the 7th ACM & IEEE international conference on Embedded …, 2007
772007
The storage hierarchy is not a hierarchy: Optimizing caching on modern storage devices with orthus
K Wu, Z Guo, G Hu, K Tu, R Alagappan, R Sen, K Park, ...
19th USENIX Conference on File and Storage Technologies (FAST 21), 307-323, 2021
612021
Executable analysis using abstract interpretation with circular linear progressions
R Sen, YN Srikant
2007 5th IEEE/ACM International Conference on Formal Methods and Models for …, 2007
51*2007
Sound and efficient WCET analysis in the presence of timing anomalies
J Reineke, R Sen
9th International Workshop on Worst-Case Execution Time Analysis (WCET'09)(2009), 2009
492009
End-to-end optimization of machine learning prediction queries
K Park, K Saur, D Banda, R Sen, M Interlandi, K Karanasos
Proceedings of the 2022 International Conference on Management of Data, 587-601, 2022
482022
Lessons learned from the early performance evaluation of Intel optane DC persistent memory in DBMS
Y Wu, K Park, R Sen, B Kroth, J Do
Proceedings of the 16th International Workshop on Data Management on New …, 2020
462020
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ...
arXiv preprint arXiv:1909.00084, 2019
432019
Query processing on tensor computation runtimes
D He, S Nakandala, D Banda, R Sen, K Saur, K Park, C Curino, ...
arXiv preprint arXiv:2203.01877, 2022
412022
Peregrine: Workload optimization for cloud query engines
A Jindal, H Patel, A Roy, S Qiao, Z Yin, R Sen, S Krishnan
Proceedings of the ACM Symposium on Cloud Computing, 416-427, 2019
342019
Microlearner: A fine-grained learning optimizer for big data workloads at microsoft
A Jindal, S Qiao, R Sen, H Patel
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2423-2434, 2021
262021
Autotoken: Predicting peak parallelism for big data analytics at microsoft
R Sen, A Jindal, H Patel, S Qiao
Proceedings of the VLDB Endowment 13 (12), 3326-3339, 2020
252020
Exploiting intel optane ssd for microsoft sql server
K Wu, A Arpaci-Dusseau, R Arpaci-Dusseau, R Sen, K Park
Proceedings of the 15th International Workshop on Data Management on New …, 2019
232019
Energy-Proportional Computing: A New Definition
R Sen, DA Wood
Computer 50 (8), 26-33, 2017
232017
Characterizing Resource Sensitivity of Database Workloads
R Sen, K Ramachandra
IEEE International Symposium on High Performance Computer Architecture, 657-669, 2018
202018
{NyxCache}: Flexible and efficient multi-tenant persistent memory caching
K Wu, K Tu, Y Patel, R Sen, K Park, A Arpaci-Dusseau, R Arpaci-Dusseau
20th USENIX Conference on File and Storage Technologies (FAST 22), 1-16, 2022
192022
Pareto Governors for Energy-Optimal Computing
R Sen, DA Wood
ACM Transactions on Architecture and Code Optimization (TACO) 14 (1), 6:1-6:25, 2017
192017
Optimal resource allocation for serverless queries
A Pimpley, S Li, A Srivastava, V Rohra, Y Zhu, S Srinivasan, A Jindal, ...
arXiv preprint arXiv:2107.08594, 2021
182021
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20