Wei Chen

Orcid: 0000-0002-9402-6249

Affiliations:
  • Automotive Vehicle Group, Nvidia, Santa Clara, CA, USA
  • University of Colorado, Department of Computer Science, Colorado Springs, CO, USA


According to our database1, Wei Chen authored at least 24 papers between 2017 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
SwitchFlow: preemptive multitasking for deep learning.
Proceedings of the Middleware '21: 22nd International Middleware Conference, Québec City, Canada, December 6, 2021

Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020
Preemptive and Low Latency Datacenter Scheduling via Lightweight Containers.
IEEE Trans. Parallel Distributed Syst., 2020

Tackling Cold Start in Serverless Computing with Container Runtime Reusing.
Proceedings of the 2020 Workshop on Network Application Integration/CoDesign, 2020

Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning.
Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019
Dependency-Aware Network Adaptive Scheduling of Data-Intensive Parallel Jobs.
IEEE Trans. Parallel Distributed Syst., 2019

OS-Augmented Oversubscription of Opportunistic Memory with a User-Assisted OOM Killer.
Proceedings of the 20th International Middleware Conference, 2019

It Can Understand the Logs, Literally.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Addressing Skewness in Iterative ML Jobs with Parameter Partition.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Semantic-aware Workflow Construction and Analysis for Distributed Data Analytics Systems.
Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

Pufferfish: Container-driven Elastic Memory Management for Data-intensive Applications.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018
Aggressive Synchronization with Partial Processing for Iterative ML Jobs on Clusters.
Proceedings of the 19th International Middleware Conference, 2018

Characterizing Scheduling Delay for Low-Latency Data Analytics Workloads.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Improving Utilization and Parallelism of Hadoop Cluster by Elastic Containers.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

An Analysis and Empirical Study of Container Networks.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Demo/poster abstract: Efficient and flexible packet tracing for virtualized networks using eBPF.
Proceedings of the IEEE INFOCOM 2018, 2018

vNetTracer: Efficient and Programmable Packet Tracing in Virtualized Networks.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

PETS: Bottleneck-Aware Spark Tuning with Parameter Ensembles.
Proceedings of the 27th International Conference on Computer Communication and Networks, 2018

Profiling distributed systems in lightweight virtualized environments with logs and resource metrics.
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

Profiling Distributed Systems in Lightweight Virtualized Environments with Logs and Resource Metrics.
Proceedings of the Poster Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

2017
Preemptive, Low Latency Datacenter Scheduling via Lightweight Virtualization.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Addressing Performance Heterogeneity in MapReduce Clusters with Elastic Tasks.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Addressing Memory Pressure in Data-intensive Parallel Programs via Container Based Virtualization.
Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

mBalloon: enabling elastic memory management for big data processing.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017


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