Publications

Filters: Author is Peter Pietzuch  [Clear All Filters]
2024
Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections
Marcel Wagenländer, Guo Li, Bo Zhao, Luo Mai, and Peter Pietzuch
Symposium on Operating Systems Principles (SOSP), 2024
Austin, Texas, USA
Is It Time To Put Cold Starts In The Deep Freeze?
Carlos Segarra, Ivan Durev, and Peter Pietzuch
Symposium of Cloud Computing (SoCC), 2024
Seattle, WA, USA
Optimizing Sorting for Chiplet-Based CPUs
Alessandro Fogli, Peter Pietzuch, and Jana Giceva
15th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), 2024
OLAP on Modern Chiplet-Based Processors
Alessandro Fogli, Bo Zhao, Maximilian Bandle, Peter Pietzuch, and Jana Giceva
50th International Conference on Very Large Data Bases (VLDB), 2024
Guangzhou, China
Trustworthy AI Using Confidential Federated Learning
Jinnan Guo, Peter Pietzuch, Andrew Paverd, and Kapil Vaswani
Communications of the ACM, 2024
Volume 67, Issue 9, p.48–53
2023
ORC: Increasing Cloud Memory Density via Object Reuse with Capabilities
Vasily Sartakov, Lluís Vilanova, Munir Geden, David Eyers, Takahiro Shinagawa, and Peter Pietzuch
17th USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2023
Boston, MA, USA
Translation Pass-Through for Near-Native Paging Performance in VMs
Shai Bergman, Mark Silberstein, Takahiro Shinagawa, Peter Pietzuch, and Lluís Vilanova
USENIX Annual Technical Conference (ATC), 2023
Boston, MA, USA
MSRL: Distributed Reinforcement Learning with Dataflow Fragments
Huanzhou Zhu, Bo Zhao, Gang Chen, Weifeng Chen, Yijie Chen, Shi Liang, Yaodong Yang, Peter Pietzuch, and Lei Chen
USENIX Annual Technical Conference (ATC), 2023
Boston, MA, USA
2022
Scabbard: Single Node Fault-Tolerant Stream Processing
Georgios Theodorakis, Fotios Kounelis, Peter Pietzuch, and Holger Pirk
48th International Conference on Very Large Data Bases (VLDB), 2022
Sydney, Australia
CAP-VMs: Capability-Based Isolation and Sharing in the Cloud
Vasily A. Sartakov, Lluís Vilanova, David Eyers, Takahiro Shinagawa, and Peter Pietzuch
16th USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2022
Carlsbad, CA, USA
IA-CCF: Individual Accountability for Permissioned Ledgers
Alex Shamis, Peter Pietzuch, Burcu Canakci, Miguel Castro, Cedric Fournet, Edward Ashton, Amaury Chamayou, Sylvan Clebsch, Antoine Delignat-Lavaud, Matthew Kerner, Julien Maffre, Olga Vrousgou, Christoph M. Wintersteiger, Manuel Costa, and Mark Russinovich
19th USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2022
Renton, WA, USA
2021
CubicleOS: A Library OS with Software Componentisation for Practical Isolation
Vasily A. Sartakov, Lluís Vilanova, and Peter Pietzuch
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2021
rkt-io: A Direct I/O Stack for Shielded Execution
Jörg Thalheim, Harshavardhan Unnibhavi, Christian Priebe, Pramod Bhatotia, and Peter Pietzuch
ACM European Conference on Computer Systems (EuroSys), 2021
Spons and Shields: Practical Isolation for Trusted Execution
Vasily A. Sartakov, Daniel O'Keeffe, David Eyers, Lluís Vilanova, and Peter Pietzuch
17th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE), 2021
2020
KungFu: Making Training in Distributed Machine Learning Adaptive
Luo Mai, Guo Li, Marcel Wagenländer, Konstantinos Fertakis, Andrei-Octavian Brabete, and Peter Pietzuch
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2020
Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing
Simon Shillaker, and Peter Pietzuch
USENIX Annual Technical Conference (USENIX ATC), 2020
Boston, MA, USA
Spotnik: Designing Distributed Machine Learning for Transient Cloud Resources
Marcel Wagenländer, Luo Mai, Guo Li, and Peter Pietzuch
12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), 2020
Boston, MA, USA
LightSaber: Efficient Window Aggregation on Multi-core Processors
Georgios Theodorakis, Alexandros Koliousis, Peter Pietzuch, and Holger Pirk
ACM International Conference on Management of Data (SIGMOD), 2020
Portland, OR, USA
SlideSide: A fast Incremental Stream Processing Algorithm for Multiple Queries
Georgios Theodorakis, Peter Pietzuch, and Holger Pirk
23rd International Conference on Extending Database Technology (EDBT), 2020
2019
Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch Applications
Panagiotis Garefalakis, Konstantinos Karanasos, and Peter Pietzuch
ACM Symposium on Cloud Computing (SoCC), 2019
Santz Cruz, CA, USA
Teechain: A Secure Payment Network with Asynchronous Blockchain Access
Joshua Lind, Oded Naor, Ittay Eyal, Florian Kelbert, Emin Gun Sirer, and Peter Pietzuch
27th ACM Symposium on Operating Systems Principles (SOSP), 2019
Huntsville, ON, Canada
Crossbow: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers
Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich, Luo Mai, Paolo Costa, and Peter Pietzuch
45th International Conference on Very Large Data Bases (VLDB), 2019
Volume 11, Los Angelos, CA, USA
Taming Hyper-Parameters in Deep Learning Systems
Luo Mai, Alexandros Koliousis, Guo Li, Andrei-Octavian Brabete, and Peter Pietzuch
ACM SIGOPS Operating Systems Review, 2019
Volume 53, Issue 1
Thriving in the No Man's Land between Compilers and Databases
Holger Pirk, Jana Giceva, and Peter Pietzuch
Biennial Conference on Innovative Data Systems Research (CIDR), 2019
Asilomar, CA, USA
2018
Hammer Slide: Work- and CPU-efficient Streaming Window Aggregation
Georgios Theodorakis, Alexandros Koliousis, Peter Pietzuch, and Holger Pirk
9th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), 2018
Rio de Janeiro, Brazil

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