Karla Saur

According to our database, Karla Saur authored at least 16 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards Building Autonomous Data Services on Azure.

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

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2022

Containerized Execution of UDFs: An Experimental Evaluation.

Karla Saur, Tara Mirmira, Konstantinos Karanasos, Jesús Camacho-Rodríguez

Proc. VLDB Endow., 2022

Query Processing on Tensor Computation Runtimes.

Dong He, Supun Chathuranga Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi

Proc. VLDB Endow., 2022

End-to-end Optimization of Machine Learning Prediction Queries.

Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

Tensors: An abstraction for general data processing.

Dimitrios Koutsoukos, Supun Nakandala, Konstantinos Karanasos, Karla Saur, Gustavo Alonso, Matteo Interlandi

Proc. VLDB Endow., 2021

2020

A Tensor Compiler for Unified Machine Learning Prediction Serving.

Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

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

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2016

C-strider: type-aware heap traversal for C.

Karla Saur, Michael W. Hicks, Jeffrey S. Foster

Softw. Pract. Exp., 2016

Safe and Flexible Controller Upgrades for SDNs.

Karla Saur, Joseph M. Collard, Nate Foster, Arjun Guha, Laurent Vanbever, Michael W. Hicks

Proceedings of the Symposium on SDN Research, 2016

Evolving NoSQL Databases without Downtime.

Karla Saur, Tudor Dumitras, Michael W. Hicks

Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

2015

Dynamic Upgrades for High Availability Systems.

Karla Saur

PhD thesis, 2015

Morpheus: Safe and Flexible Dynamic Updates for SDNs.

Karla Saur, Joseph M. Collard, Nate Foster, Arjun Guha, Laurent Vanbever, Michael W. Hicks

CoRR, 2015

2014

Kitsune: Efficient, General-Purpose Dynamic Software Updating for C.

Christopher M. Hayden, Karla Saur, Edward K. Smith, Michael W. Hicks, Jeffrey S. Foster

ACM Trans. Program. Lang. Syst., 2014

2013

Report on the fourth workshop on hot topics in software upgrades (HotSWUp 2012).

Karla Saur, Iulian Neamtiu

ACM SIGOPS Oper. Syst. Rev., 2013

2012

A study of dynamic software update quiescence for multithreaded programs.

Christopher M. Hayden, Karla Saur, Michael Hicks, Jeffrey S. Foster

Proceedings of the 4th International Workshop on Hot Topics in Software Upgrades, 2012

2010

Locating ×86 paging structures in memory images.

Karla Saur, Julian B. Grizzard

Digit. Investig., 2010