Yiquan Chen

Orcid: 0009-0004-8714-6949

According to our database1, Yiquan Chen authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
PARS: A Pattern-Aware Spatial Data Prefetcher Supporting Multiple Region Sizes.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

Optimizing NVMe Storage for Large-Scale Deployment: Key Technologies and Strategies in Alibaba Cloud.
IEEE Micro, 2024

LightPool: A NVMe-oF-based High-performance and Lightweight Storage Pool Architecture for Cloud-Native Distributed Database.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

BlueJay: A Platform to Quantifying the Impact of Memory Latency on Datacenter Application Performance.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

CINDA: Don't Ignore Instructions When Cloning Memory Access Behavior.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
High-performance and Scalable Software-based NVMe Virtualization Mechanism with I/O Queues Passthrough.
CoRR, 2023

BM-Store: A Transparent and High-performance Local Storage Architecture for Bare-metal Clouds Enabling Large-scale Deployment.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

DouRN: Improving DouZero by Residual Neural Networks.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2023

JACO: JAva Code Layout Optimizer Enabling Continuous Optimization without Pausing Application Services.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

HyQ: Hybrid I/O Queue Architecture for NVMe over Fabrics to Enable High- Performance Hardware Offloading.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2021
On Workload-Aware DRAM Failure Prediction in Large-Scale Data Centers.
Proceedings of the 39th IEEE VLSI Test Symposium, 2021

2019
System-level hardware failure prediction using deep learning.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019


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