Quan Chen
Orcid: 0000-0001-5832-0347Affiliations:
- Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai Institute for Advanced Communication and Data Science, China
- University of Michigan, Ann Arbor, MI, USA (2014 - 2016)
- Shanghai Jiao Tong University, School of Software, China (PhD 2014)
According to our database1,
Quan Chen
authored at least 146 papers
between 2010 and 2025.
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Bibliography
2025
FLAPS: fluctuation-aware power auction strategy for reducing the power overload probability.
Frontiers Comput. Sci., May, 2025
2024
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2024
PLAYS: Minimizing DNN Inference Latency in Serverless Edge Cloud for Artificial Intelligence of Things.
IEEE Internet Things J., December, 2024
Versatile Low-Frequency Magnetoelectric Antenna With Memory in Computing Ability and Internet of Underground Things Application.
IEEE Internet Things J., October, 2024
Adaptive QoS-Aware Microservice Deployment With Excessive Loads via Intra- and Inter-Datacenter Scheduling.
IEEE Trans. Parallel Distributed Syst., September, 2024
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2024
J. Comput. Sci. Technol., March, 2024
A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters.
CoRR, 2024
POSTER: FineCo: Fine-grained Heterogeneous Resource Management for Concurrent DNN Inferences.
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024
PAS: Towards Accurate and Efficient Federated Learning with Parameter-Adaptive Synchronization.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024
Proceedings of the 53rd International Conference on Parallel Processing, 2024
ElasticRoom: Multi-Tenant DNN Inference Engine via Co-design with Resource-constrained Compilation and Strong Priority Scheduling.
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024
FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
FaaSGraph: Enabling Scalable, Efficient, and Cost-Effective Graph Processing with Serverless Computing.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
2023
Improving Cluster Utilization Through Adaptive Resource Management for Deep Neural Network and CPU Jobs Colocation.
IEEE Trans. Computers, December, 2023
IEEE Trans. Computers, October, 2023
PASTO: Enabling Secure and Efficient Task Offloading in TrustZone-Enabled Edge Clouds.
IEEE Trans. Veh. Technol., June, 2023
IEEE Trans. Mob. Comput., June, 2023
IEEE Trans. Computers, May, 2023
A Robust Calibration and Adaptive Multipair of Magnetic Gradient Tensors Localization Method for Magnetic Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2023
Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level.
Proc. VLDB Endow., 2023
Frontiers Comput. Sci., 2023
CoRR, 2023
DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service.
CoRR, 2023
Nodens: Enabling Resource Efficient and Fast QoS Recovery of Dynamic Microservice Applications in Datacenters.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023
BLAD: Adaptive Load Balanced Scheduling and Operator Overlap Pipeline For Accelerating The Dynamic GNN Training.
Proceedings of the International Conference for High Performance Computing, 2023
Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023
FIRST: Exploiting the Multi-Dimensional Attributes of Functions for Power-Aware Serverless Computing.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
On Efficient Zygote Container Planning toward Fast Function Startup in Serverless Edge Cloud.
Proceedings of the IEEE INFOCOM 2023, 2023
PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization.
Proceedings of the 37th International Conference on Supercomputing, 2023
PMR: Priority Memory Reclaim to Improve the Performance of Latency-Critical Services.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Microless: Cost-Efficient Hybrid Deployment of Microservices on IaaS VMs and Serverless.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023
MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Maximizing the Utilization of GPUs Used by Cloud Gaming through Adaptive Co-location with Combo.
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023
Not All Resources are Visible: Exploiting Fragmented Shadow Resources in Shared-State Scheduler Architecture.
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023
Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023
2022
ACM Comput. Surv., January, 2022
IEEE Trans. Parallel Distributed Syst., 2022
Efficient and Secure Deep Learning Inference in Trusted Processor Enabled Edge Clouds.
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Computers, 2022
J. Comput. Sci. Technol., 2022
Special Issue on Programming Models and Applications for Multicores and Manycores 2020.
Concurr. Comput. Pract. Exp., 2022
Special issue on programming models and applications for multicores and manycores 2019-2020.
Concurr. Comput. Pract. Exp., 2022
Help Rather Than Recycle: Alleviating Cold Startup in Serverless Computing Through Inter-Function Container Sharing.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022
RunD: A Lightweight Secure Container Runtime for High-density Deployment and High-concurrency Startup in Serverless Computing.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022
DVABatch: Diversity-aware Multi-Entry Multi-Exit Batching for Efficient Processing of DNN Services on GPUs.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022
Proceedings of the 2022 USENIX Annual Technical Conference, 2022
QoS-Aware Irregular Collaborative Inference for Improving Throughput of DNN Services.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
CSC: Collaborative System Configuration for I/O-Intensive Applications in Multi-Tenant Clouds.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
PAME: precision-aware multi-exit DNN serving for reducing latencies of batched inferences.
Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022
SALO: an efficient spatial accelerator enabling hybrid sparse attention mechanisms for long sequences.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Characterizing and orchestrating VM reservation in geo-distributed clouds to improve the resource efficiency.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022
Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022
VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling.
Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022
Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022
2021
Adaptive Preference-Aware Co-Location for Improving Resource Utilization of Power Constrained Datacenters.
IEEE Trans. Parallel Distributed Syst., 2021
E<sup>2</sup>bird: Enhanced Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services.
IEEE Trans. Parallel Distributed Syst., 2021
Pagurus: Eliminating Cold Startup in Serverless Computing with Inter-Action Container Sharing.
CoRR, 2021
Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction.
Proceedings of the International Conference for High Performance Computing, 2021
Gost: Enabling Efficient Spatio-Temporal GPU Sharing for Network Function Virtualization.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
AlphaR: Learning-Powered Resource Management for Irregular, Dynamic Microservice Graph.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators.
Proceedings of the IEEE International Symposium on Workload Characterization, 2021
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021
Proceedings of the 39th IEEE International Conference on Computer Design, 2021
Proceedings of the 39th IEEE International Conference on Computer Design, 2021
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021
Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021
2020
J. Parallel Distributed Comput., 2020
Probabilistic robust regression with adaptive weights - a case study on face recognition.
Frontiers Comput. Sci., 2020
Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters.
CoRR, 2020
Survey and design of paleozoic: a high-performance compiler tool chain for deep learning inference accelerator.
CCF Trans. High Perform. Comput., 2020
Proceedings of the 2020 USENIX Annual Technical Conference, 2020
Alita: comprehensive performance isolation through bias resource management for public clouds.
Proceedings of the International Conference for High Performance Computing, 2020
DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020
Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
Amoeba: QoS-Awareness and Reduced Resource Usage of Microservices with Serverless Computing.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020
URSA: Precise Capacity Planning and Fair Scheduling based on Low-level Statistics for Public Clouds.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
Asymmetric Resilience: Exploiting Task-Level Idempotency for Transient Error Recovery in Accelerator-Based Systems.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
IEEE Trans. Computers, 2019
Bandwidth and Locality Aware Task-stealing for Manycore Architectures with Bandwidth-Asymmetric Memory.
ACM Trans. Archit. Code Optim., 2019
CoRR, 2019
Characterizing Perception Module Performance and Robustness in Production-Scale Autonomous Driving System.
Proceedings of the Network and Parallel Computing, 2019
Characterizing and orchestrating NFV-ready servers for efficient edge data processing.
Proceedings of the International Symposium on Quality of Service, 2019
Themis: Predicting and Reining in Application-Level Slowdown on Spatial Multitasking GPUs.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
Laius: Towards latency awareness and improved utilization of spatial multitasking accelerators in datacenters.
Proceedings of the ACM International Conference on Supercomputing, 2019
Avalon: towards QoS awareness and improved utilization through multi-resource management in datacenters.
Proceedings of the ACM International Conference on Supercomputing, 2019
When Power Oversubscription Meets Traffic Flood Attack: Re-Thinking Data Center Peak Load Management.
Proceedings of the 48th International Conference on Parallel Processing, 2019
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019
Optimizing the Aggregated Throughput of GPUs in Public Clouds Based on Adaptive Kernel Reordering.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019
Ebird: Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019
2018
Contention and Locality-Aware Work-Stealing for Iterative Applications in Multi-Socket Computers.
IEEE Trans. Computers, 2018
Int. J. Parallel Program., 2018
KSM: Online Application-Level Performance Slowdown Prediction for Spatial Multitasking GPGPU.
IEEE Comput. Archit. Lett., 2018
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018
Proceedings of 2018 International Conference on Mathematics and Artificial Intelligence, 2018
Power Grab in Aggressively Provisioned Data Centers: What is the Risk and What Can Be Done About It.
Proceedings of the 36th IEEE International Conference on Computer Design, 2018
Proceedings of the 36th IEEE International Conference on Computer Design, 2018
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018
2017
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017
PowerChief: Intelligent Power Allocation for Multi-Stage Applications to Improve Responsiveness on Power Constrained CMP.
Proceedings of the 44th Annual International Symposium on Computer Architecture, 2017
Prophet: Precise QoS Prediction on Non-Preemptive Accelerators to Improve Utilization in Warehouse-Scale Computers.
Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, 2017
Task Scheduling for Multi-core and Parallel Architectures - Challenges, Solutions and Perspectives
Springer, ISBN: 978-981-10-6237-7, 2017
2016
Concurr. Comput. Pract. Exp., 2016
SAWS: Selective Asymmetry-Aware Work-Stealing for Asymmetric Multi-core Architectures.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016
Baymax: QoS Awareness and Increased Utilization for Non-Preemptive Accelerators in Warehouse Scale Computers.
Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016
2015
Locality-Aware Work Stealing Based on Online Profiling and Auto-Tuning for Multisocket Multicore Architectures.
ACM Trans. Archit. Code Optim., 2015
DjiNN and Tonic: DNN as a service and its implications for future warehouse scale computers.
Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015
2014
Cold-Start Recommendation Using Bi-Clustering and Fusion for Large-Scale Social Recommender Systems.
IEEE Trans. Emerg. Top. Comput., 2014
Adaptive workload-aware task scheduling for single-ISA asymmetric multicore architectures.
ACM Trans. Archit. Code Optim., 2014
Proceedings of the 2014 PPOPP International Workshop on Programming Models and Applications for Multicores and Manycores, 2014
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014
Proceedings of the 2014 International Conference on Supercomputing, 2014
2013
IEEE Trans. Parallel Distributed Syst., 2013
J. Supercomput., 2013
Proceedings of the 2013 PPOPP International Workshop on Programming Models and Applications for Multicores and Manycores, 2013
HMHS: Hybrid Multistage Heuristic Scheduling Algorithm for Heterogeneous MapReduce System.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2013
2012
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012
CATS: cache aware task-stealing based on online profiling in multi-socket multi-core architectures.
Proceedings of the International Conference on Supercomputing, 2012
2011
Proceedings of the International Conference on Parallel Processing, 2011
2010
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010