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Congyong Chen

dblp:271/8361 · DBLP profile ↗
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3ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0003-1682-7435ORCID · corroborated

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1

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
Storage systems · 72% Memory systems · 28%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems › memory interference
cache contention
0.912025
FusionFS: A Contention-Resilient File System for Persistent CPU Caches · ACM Trans. Archit. Code Optim. 2025
Storage systems
file systems
0.912025
FusionFS: A Contention-Resilient File System for Persistent CPU Caches · ACM Trans. Archit. Code Optim. 2025
Storage systems › file systems › file system design
persistent memory file system
0.912025
FusionFS: A Contention-Resilient File System for Persistent CPU Caches · ACM Trans. Archit. Code Optim. 2025
Image and video processing › video enhancement
compressed video quality enhancement
0.412020
Multi-level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video · ECCV (14) 2020
Image and video processing › image enhancement
perceptual quality enhancement
0.412020
Multi-level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video · ECCV (14) 2020
Storage systems › non-volatile memory storage
byte-addressable storage
0.312025
FusionFS: A Contention-Resilient File System for Persistent CPU Caches · ACM Trans. Archit. Code Optim. 2025
Storage systems › flash and SSD › flash memory management › garbage collection
write amplification
0.312025
FusionFS: A Contention-Resilient File System for Persistent CPU Caches · ACM Trans. Archit. Code Optim. 2025

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

contention-aware cache allocation · 0.9adaptive data update · 0.9wavelet transform · 0.4generative adversarial network · 0.4
YearPublicationVenuePosition
2025 FusionFS: A Contention-Resilient File System for Persistent CPU Caches
abstract
Byte-addressable storage (BAS), such as persistent memory and CXL-SSDs, does not meet system designers’ expectations for data flushing and access granularity. Persistent CPU caches, enabled by recent techniques like Intel’s eADR and CXL’s Global Persistent Flush, can mitigate these issues without sacrificing consistency. However, the shared nature of CPU caches can lead to cache contention, which can result in cached data being frequently evicted to the BAS and reloaded into caches, negating the benefits of caching. If the BAS write granularity is larger than the cacheline eviction granularity, this can also lead to severe write amplification. In this article, we identify, characterize, and propose solutions to the problem of contention in persistent CPU caches, which is largely overlooked by existing systems. These systems either simply assume that cached data is hot enough to survive cache evictions or use unsupported cache allocation techniques without testing their effectiveness. We also present FusionFS, a contention-resilient kernel file system that uses persistent CPU caches to redesign data update approaches. FusionFS employs an adaptive data update approach that chooses the most effective mechanism based on file access patterns during system calls and memory mapping accesses, minimizing BAS media writes and improving throughput. FusionFS also employs contention-aware cache allocation to minimize various types of cache contention. Experimental results show that FusionFS outperforms existing file systems and effectively mitigates various types of cache contention.
Congyong Chen, Shengan Zheng, Yuhang Zhang 0027, Linpeng Huang
ACM Trans. Archit. Code Optim.1
2024 Redesigning Data and Metadata Updates in PM File Systems with Persistent CPU Caches
Congyong Chen, Shengan Zheng, Yuhang Zhang 0027, Linpeng Huang
DASFAA (6)1
2020 Multi-level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video
Jianyi Wang, Xin Deng 0002, Mai Xu, Congyong Chen, Yuhang Song 0001
ECCV (14)4