Yifan Qiao

Orcid: 0009-0003-3651-6973

Affiliations:
  • University of California, EECS, Berkeley, CA, USA
  • University of California, Computer Science Department, Los Angeles, CA, USA (PhD 2024)
  • Tsinghua University, Computer Science and Technology, Beijing, China (2015 - 2019)


According to our database1, Yifan Qiao authored at least 21 papers between 2017 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
SkyNomad: On Using Multi-Region Spot Instances to Minimize AI Batch Job Cost.
CoRR, January, 2026

UniCache: Unifying Prefix Cache Eviction for Heterogeneous LLM Serving Workloads.
Proceedings of the Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2026

BlendServe: Optimizing Offline Inference with Resource-Aware Batching.
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025
Towards Efficient and Practical GPU Multitasking in the Era of LLM.
CoRR, August, 2025

Prism: Unleashing GPU Sharing for Cost-Efficient Multi-LLM Serving.
CoRR, May, 2025

Orthrus: Efficient and Timely Detection of Silent User Data Corruption in the Cloud with Resource-Adaptive Computation Validation.
Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles, 2025

PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications.
Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles, 2025

Lost in Translation: The Search for Meaning in Network-Attached AI Accelerator Disaggregation.
Proceedings of the 24th ACM Workshop on Hot Topics in Networks, 2025

2024
Reinventing Datacenter System Stacks for Resource Harvesting
PhD thesis, 2024

ConServe: Harvesting GPUs for Low-Latency and High-Throughput Large Language Model Serving.
CoRR, 2024

DRust: Language-Guided Distributed Shared Memory with Fine Granularity, Full Transparency, and Ultra Efficiency.
Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

A Tale of Two Paths: Toward a Hybrid Data Plane for Efficient Far-Memory Applications.
Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

Harvesting Idle Memory for Application-managed Soft State with Midas.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2023
Canvas: Isolated and Adaptive Swapping for Multi-Applications on Remote Memory.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Hermit: Low-Latency, High-Throughput, and Transparent Remote Memory via Feedback-Directed Asynchrony.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

2022
Canvas: Isolated and Adaptive Swapping for Multi-Applications on Remote Memory.
CoRR, 2022

Mako: a low-pause, high-throughput evacuating collector for memory-disaggregated datacenters.
Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022

MemLiner: Lining up Tracing and Application for a Far-Memory-Friendly Runtime.
Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads.
Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

2017
Algorithm-Directed Crash Consistence in Non-volatile Memory for HPC.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017


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