Locating ×86 paging structures in memory images. - Karla Saur; Julian B. Grizzard (Digit. Investig., 2010)

A study of dynamic software update quiescence for multithreaded programs. - Christopher M. Hayden; Karla Saur; Michael Hicks 001; Jeffrey S. Foster (HotSWUp, 2012)

Report on the fourth workshop on hot topics in software upgrades (HotSWUp 2012). - Karla Saur; Iulian Neamtiu (ACM SIGOPS Oper. Syst. Rev., 2013)

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)

Morpheus: Safe and Flexible Dynamic Updates for SDNs. - Karla Saur; Joseph M. Collard; Nate Foster; Arjun Guha; Laurent Vanbever; Michael W. Hicks (CoRR, 2015)

Dynamic Upgrades for High Availability Systems. - Karla Saur (2015)

Evolving NoSQL Databases without Downtime. - Karla Saur; Tudor Dumitras; Michael W. Hicks (ICSME, 2016)

Safe and Flexible Controller Upgrades for SDNs. - Karla Saur; Joseph M. Collard; Nate Foster; Arjun Guha; Laurent Vanbever; Michael W. Hicks (SOSR, 2016)

C-strider: type-aware heap traversal for C. - Karla Saur; Michael W. Hicks; Jeffrey S. Foster (Softw. Pract. Exp., 2016)

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 001; et al. (CIDR, 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 (OSDI, 2020)

Tensors: An abstraction for general data processing. - Dimitrios Koutsoukos; Supun Nakandala; Konstantinos Karanasos; Karla Saur; Gustavo Alonso; Matteo Interlandi (Proc. VLDB Endow., 2021)

End-to-end Optimization of Machine Learning Prediction Queries. - Kwanghyun Park 001; Karla Saur; Dalitso Banda; Rathijit Sen; Matteo Interlandi; Konstantinos Karanasos (SIGMOD Conference, 2022)

Query Processing on Tensor Computation Runtimes. - Dong He 002; Supun Chathuranga Nakandala; Dalitso Banda; Rathijit Sen; Karla Saur; Kwanghyun Park 001; Carlo Curino; Jesús Camacho-Rodríguez; Konstantinos Karanasos; Matteo Interlandi (Proc. VLDB Endow., 2022)

Containerized Execution of UDFs: An Experimental Evaluation. - Karla Saur; Tara Mirmira; Konstantinos Karanasos; Jesús Camacho-Rodríguez (Proc. VLDB Endow., 2022)

Towards Building Autonomous Data Services on Azure. - Yiwen Zhu; Yuanyuan Tian 001; Joyce Cahoon; Subru Krishnan; Ankita Agarwal; Rana Alotaibi; Jesús Camacho-Rodríguez; Bibin Chundatt; Andrew Chung; Niharika Dutta; Andrew Fogarty; Anja Gruenheid; et al. (SIGMOD Conference Companion, 2023)

VASIM: Vertical Autoscaling Simulator Toolkit. - Anna Pavlenko; Karla Saur; Yiwen Zhu; Brian Kroth; Joyce Cahoon; Jesús Camacho-Rodríguez (ICDE, 2024)

Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud. - Anna Pavlenko; Joyce Cahoon; Yiwen Zhu; Brian Kroth; Michael Nelson; Andrew Carter; David Liao; Travis Wright; Jesús Camacho-Rodríguez; Karla Saur (SIGMOD Conference Companion, 2024)