Ching-Yu Kuo

dblp:332/4856 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 40% Embedded and real-time systems · 40% Storage systems · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
energy harvesting devices
0.612022
iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Storage systems
file systems
0.612022
iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Embedded and real-time systems
intermittent computing
0.612022
iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Memory systems
non-volatile memory
0.612022
iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022
Memory systems › non-volatile memory
NVRAM
0.612022
iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing Devices · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022

Methods — techniques the papers use, named apart from their topics

fine-grained checkpointing · 0.6byte-addressable in-place writing · 0.6
YearPublicationVenuePosition
2022 iNVMFS: An Efficient File System for NVRAM-Based Intermittent Computing Devices
abstract
Developing toward battery-less, energy-harvesting designs is a promising direction for sensor-scale devices. The recent introduction of byte-addressable, nonvolatile memory (NVRAM) enables intermittent computing, which preserves as much program progress across power interruptions as possible using fine-grained checkpoints. Sensing applications strongly demand local storage for near-data processing, and there is no exception for intermittent computing devices. While checkpointing on program progress is being studied recently, there is little work regarding how sensor file systems support intermittent computing. On power recovery, although the program progress is reverted to the latest checkpoint, the storage state stays at the instant of power loss. To remedy this problem, we present a lightweight file system for efficient operations on files and checkpoints. Our design exploits the byte addressability of NVRAM and uses as much in-place byte writing as possible while guaranteeing the safety of checkpoint operations. We evaluated our design against two prior checkpoint-enabled file systems, and results show that on average, our design reduced the total time overhead and energy consumption by 77% and 78%, respectively.
Ying-Jan Wu, Ching-Yu Kuo, Li-Pin Chang
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.2