Publications

Filters: Year is 2024  [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
Hardware-Efficient Data Imputation through DBMS Extensibility
Hubert Mohr-Daurat, Georgios Theodorakis, and Holger Pirk
50th International Conference on Very Large Data Bases (VLDB), 2024
Guangzhou, China
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
BOSS: An Architecture for Database Kernel Composition
Hubert Mohr-Daurat, Xuan Sun, and Holger Pirk
50th International Conference on Very Large Data Bases (VLDB), 2024
Guangzhou, China
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
Year of Publication