@inproceedings{10.1145/3503222.3507771,
author = {Suchy, Brian and Ghosh, Souradip and Kersnar, Drew and Chai, Siyuan and Huang, Zhen and Nelson, Aaron and Cuevas, Michael and Bernat, Alex and Chaudhary, Gaurav and Hardavellas, Nikos and Campanoni, Simone and Dinda, Peter},
title = {CARAT CAKE: Replacing Paging via Compiler/Kernel Cooperation},
year = {2022},
isbn = {9781450392051},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3503222.3507771},
doi = {10.1145/3503222.3507771},
abstract = {Virtual memory, specifically paging, is undergoing significant innovation due to being challenged by new demands from modern workloads. Recent work has demonstrated an alternative software only design that can result in simplified hardware requirements, even supporting purely physical addressing. While we have made the case for this Compiler- And Runtime-based Address Translation (CARAT) concept, its evaluation was based on a user-level prototype. We now report on incorporating CARAT into a kernel, forming Compiler- And Runtime-based Address Translation for CollAborative Kernel Environments (CARAT CAKE). In our implementation, a Linux-compatible x64 process abstraction can be based either on CARAT CAKE, or on a sophisticated paging implementation. Implementing CARAT CAKE involves kernel changes and compiler optimizations/transformations that must work on all code in the system, including kernel code. We evaluate CARAT CAKE in comparison with paging and find that CARAT CAKE is able to achieve the functionality of paging (protection, mapping, and movement properties) with minimal overhead. In turn, CARAT CAKE allows significant new benefits for systems including energy savings, larger L1 caches, and arbitrary granularity memory management.},
booktitle = {Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems},
pages = {98–114},
numpages = {17},
keywords = {virtual memory, runtime, memory management, kernel},
location = {Lausanne, Switzerland},
series = {ASPLOS 2022}
}