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Publication search results
found 53 matches
- 2023
- Megan Frisella, Shirley Loayza Sanchez, Malte Schwarzkopf:
Towards Increased Datacenter Efficiency with Soft Memory. HotOS 2023: 127-134 - Zhenyuan Ruan, Shihang Li, Kaiyan Fan, Marcos K. Aguilera, Adam Belay, Seo Jin Park, Malte Schwarzkopf:
Unleashing True Utility Computing with Quicksand. HotOS 2023: 196-205 - Zhenyuan Ruan, Seo Jin Park, Marcos K. Aguilera, Adam Belay, Malte Schwarzkopf:
Nu: Achieving Microsecond-Scale Resource Fungibility with Logical Processes. NSDI 2023: 1409-1427 - Kinan Dak Albab, Ishan Sharma, Justus Adam, Benjamin Kilimnik, Aaron R. Jeyaraj, Raj Paul, Artem Agvanian, Leonhard F. Spiegelberg, Malte Schwarzkopf:
K9db: Privacy-Compliant Storage For Web Applications By Construction. OSDI 2023: 99-116 - Lillian Tsai, Hannah Gross, Eddie Kohler, M. Frans Kaashoek, Malte Schwarzkopf:
Edna: Disguising and Revealing User Data in Web Applications. SOSP 2023: 434-450 - Leonhard F. Spiegelberg, Tim Kraska, Malte Schwarzkopf:
Hyperspecialized Compilation for Serverless Data Analytics. VLDB Workshops 2023 - Malte Schwarzkopf, Andrew Baumann, Natacha Crooks:
Proceedings of the 19th Workshop on Hot Topics in Operating Systems, HOTOS 2023, Providence, RI, USA, June 22-24, 2023. ACM 2023 [contents] - Pouya Hamadanian, Arash Nasr-Esfahany, Siddartha Sen, Malte Schwarzkopf, Mohammad Alizadeh:
Locally Constrained Policy Optimization for Online Reinforcement Learning in Non-Stationary Input-Driven Environments. CoRR abs/2302.02182 (2023) - 2022
- Pouya Hamadanian, Malte Schwarzkopf, Siddartha Sen, Mohammad Alizadeh:
Reinforcement Learning in Time-Varying Systems: an Empirical Study. CoRR abs/2201.05560 (2022) - 2021
- Archita Agarwal, Marilyn George, Aaron R. Jeyaraj, Malte Schwarzkopf:
Retrofitting GDPR Compliance onto Legacy Databases. Proc. VLDB Endow. 15(4): 958-970 (2021) - Malte Schwarzkopf:
Burnt topics in operating systems. HotOS 2021: 238 - Lillian Tsai, Malte Schwarzkopf, Eddie Kohler:
Privacy heroes need data disguises. HotOS 2021: 112-118 - Leonhard F. Spiegelberg, Rahul Yesantharao, Malte Schwarzkopf, Tim Kraska:
Tuplex: Data Science in Python at Native Code Speed. SIGMOD Conference 2021: 1718-1731 - 2020
- Frank McSherry, Andrea Lattuada, Malte Schwarzkopf, Timothy Roscoe:
Shared Arrangements: practical inter-query sharing for streaming dataflows. Proc. VLDB Endow. 13(10): 1793-1806 (2020) - Zhenyuan Ruan, Malte Schwarzkopf, Marcos K. Aguilera, Adam Belay:
AIFM: High-Performance, Application-Integrated Far Memory. OSDI 2020: 315-332 - 2019
- Jon Gjengset, Malte Schwarzkopf, Jonathan Behrens, Lara Timbó Araújo, Martin Ek, Eddie Kohler, M. Frans Kaashoek, Robert Tappan Morris:
Noria: A New Take on Fast Web Application Backends. login Usenix Mag. 44(1) (2019) - Nikolaj Volgushev, Malte Schwarzkopf, Ben Getchell, Mayank Varia, Andrei Lapets, Azer Bestavros:
Conclave: secure multi-party computation on big data. EuroSys 2019: 3:1-3:18 - Alana Marzoev, Lara Timbó Araújo, Malte Schwarzkopf, Samyukta Yagati, Eddie Kohler, Robert Tappan Morris, M. Frans Kaashoek, Sam Madden:
Towards Multiverse Databases. HotOS 2019: 88-95 - Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh:
Variance Reduction for Reinforcement Learning in Input-Driven Environments. ICLR (Poster) 2019 - Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan, Zili Meng, Mohammad Alizadeh:
Learning scheduling algorithms for data processing clusters. SIGCOMM 2019: 270-288 - Malte Schwarzkopf, Eddie Kohler, M. Frans Kaashoek, Robert Tappan Morris:
Position: GDPR Compliance by Construction. Poly/DMAH@VLDB 2019: 39-53 - Nikolaj Volgushev, Malte Schwarzkopf, Ben Getchell, Mayank Varia, Andrei Lapets, Azer Bestavros:
Conclave: secure multi-party computation on big data (extended TR). CoRR abs/1902.06288 (2019) - 2018
- Malte Schwarzkopf:
Operating system support for warehouse-scale computing. University of Cambridge, UK, 2018 - Malte Schwarzkopf, Peter Bailis:
Research for practice: cluster scheduling for datacenters. Commun. ACM 61(5): 50-53 (2018) - Shoumik Palkar, James Thomas, Deepak Narayanan, Pratiksha Thaker, Rahul Palamuttam, Parimarjan Negi, Anil Shanbhag, Malte Schwarzkopf, Holger Pirk, Saman P. Amarasinghe, Samuel Madden, Matei Zaharia:
Evaluating End-to-End Optimization for Data Analytics Applications in Weld. Proc. VLDB Endow. 11(9): 1002-1015 (2018) - Jon Gjengset, Malte Schwarzkopf, Jonathan Behrens, Lara Timbó Araújo, Martin Ek, Eddie Kohler, M. Frans Kaashoek, Robert Tappan Morris:
Noria: dynamic, partially-stateful data-flow for high-performance web applications. OSDI 2018: 213-231 - Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh:
Variance Reduction for Reinforcement Learning in Input-Driven Environments. CoRR abs/1807.02264 (2018) - Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan, Zili Meng, Mohammad Alizadeh:
Learning Scheduling Algorithms for Data Processing Clusters. CoRR abs/1810.01963 (2018) - Frank McSherry, Andrea Lattuada, Malte Schwarzkopf:
K-Pg: Shared State in Differential Dataflows. CoRR abs/1812.02639 (2018) - 2017
- Malte Schwarzkopf:
Cluster Scheduling for Data Centers. ACM Queue 15(5): 70 (2017)
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