Dazhao Cheng

Orcid: 0000-0003-2869-7623

According to our database1, Dazhao Cheng authored at least 62 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
QoS-Aware Power Management via Scheduling and Governing Co-Optimization on Mobile Devices.
IEEE Trans. Mob. Comput., December, 2024

Tackling Multiplayer Interaction for Federated Generative Adversarial Networks.
IEEE Trans. Mob. Comput., December, 2024

DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training.
IEEE Trans. Parallel Distributed Syst., November, 2024

Redundancy-Free and Load-Balanced TGNN Training With Hierarchical Pipeline Parallelism.
IEEE Trans. Parallel Distributed Syst., November, 2024

Opca: Enabling Optimistic Concurrent Access for Multiple Users in Oblivious Data Storage.
IEEE Trans. Parallel Distributed Syst., November, 2024

Controlling Aluminum Strip Thickness by Clustered Reinforcement Learning With Real-World Dataset.
IEEE Trans. Ind. Informatics, August, 2024

Raptor-T: A Fused and Memory-Efficient Sparse Transformer for Long and Variable-Length Sequences.
IEEE Trans. Computers, July, 2024

Incendio: Priority-Based Scheduling for Alleviating Cold Start in Serverless Computing.
IEEE Trans. Computers, July, 2024

MPMoE: Memory Efficient MoE for Pre-Trained Models With Adaptive Pipeline Parallelism.
IEEE Trans. Parallel Distributed Syst., June, 2024

SLO-Aware Function Placement for Serverless Workflows With Layer-Wise Memory Sharing.
IEEE Trans. Parallel Distributed Syst., June, 2024

A Survey on Spatio-Temporal Big Data Analytics Ecosystem: Resource Management, Processing Platform, and Applications.
IEEE Trans. Big Data, April, 2024

A unified hybrid memory system for scalable deep learning and big data applications.
J. Parallel Distributed Comput., April, 2024

Locality-Aware and Fault-Tolerant Batching for Machine Learning on Distributed Datasets.
IEEE Trans. Cloud Comput., 2024

Corrections to "DNN Surgery: Accelerating DNN Inference on the Edge through Layer Partitioning".
IEEE Trans. Cloud Comput., 2024

Expeditious High-Concurrency MicroVM SnapStart in Persistent Memory with an Augmented Hypervisor.
Proceedings of the 2024 USENIX Annual Technical Conference, 2024

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators.
Proceedings of the International Conference for High Performance Computing, 2024

Scaling New Heights: Transformative Cross-GPU Sampling for Training Billion-Edge Graphs.
Proceedings of the International Conference for High Performance Computing, 2024

Accelerating Distributed DLRM Training with Optimized TT Decomposition and Micro-Batching.
Proceedings of the International Conference for High Performance Computing, 2024

Improving User Experience via Reinforcement Learning-Based Resource Management on Mobile Devices.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Federated Spectrum Management Through Hedonic Coalition Formation.
Proceedings of the 8th Asia-Pacific Workshop on Networking, 2024

2023
An Edge-Side Real-Time Video Analytics System With Dual Computing Resource Control.
IEEE Trans. Computers, December, 2023

TAPU: A Transmission-Analytics Processing Unit for Accelerating Multifunctions in IoT Gateways.
IEEE Internet Things J., October, 2023

Joint Optimization Across Timescales: Resource Placement and Task Dispatching in Edge Clouds.
IEEE Trans. Cloud Comput., 2023

DNN Surgery: Accelerating DNN Inference on the Edge Through Layer Partitioning.
IEEE Trans. Cloud Comput., 2023

Dynamic Resource Provisioning for Iterative Workloads on Apache Spark.
IEEE Trans. Cloud Comput., 2023

MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Redundancy-Free High-Performance Dynamic GNN Training with Hierarchical Pipeline Parallelism.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2022
Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers.
IEEE Trans. Cloud Comput., 2022

BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation.
CoRR, 2022

Spread: Decentralized Model Aggregation for Scalable Federated Learning.
Proceedings of the 51st International Conference on Parallel Processing, 2022

VCSR: Mutable CSR Graph Format Using Vertex-Centric Packed Memory Array.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
Data Life Aware Model Updating Strategy for Stream-Based Online Deep Learning.
IEEE Trans. Parallel Distributed Syst., 2021

Privacy-Preserving Participant Grouping for Mobile Social Sensing Over Edge Clouds.
IEEE Trans. Netw. Sci. Eng., 2021

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

Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

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

waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data.
Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

Mitigating Stragglers in the Decentralized Training on Heterogeneous Clusters.
Proceedings of the Middleware '20: 21st International Middleware Conference, 2020

Efficient GPU Memory Management for Nonlinear DNNs.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

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

A Shared Memory Cache Layer across Multiple Executors in Apache Spark.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Deadline-Aware MapReduce Job Scheduling with Dynamic Resource Availability.
IEEE Trans. Parallel Distributed Syst., 2019

Heterogeneity Aware Workload Management in Distributed Sustainable Datacenters.
IEEE Trans. Parallel Distributed Syst., 2019

Elastic Executor Provisioning for Iterative Workloads on Apache Spark.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Adaptive Scheduling Parallel Jobs with Dynamic Batching in Spark Streaming.
IEEE Trans. Parallel Distributed Syst., 2018

Energy Efficiency Aware Task Assignment with DVFS in Heterogeneous Hadoop Clusters.
IEEE Trans. Parallel Distributed Syst., 2018

Performance Isolation of Data-Intensive Scale-out Applications in a Multi-tenant Cloud.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Clouds.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Reference-distance Eviction and Prefetching for Cache Management in Spark.
Proceedings of the 47th International Conference on Parallel Processing, 2018

2017
iShuffle: Improving Hadoop Performance with Shuffle-on-Write.
IEEE Trans. Parallel Distributed Syst., 2017

Improving Performance of Heterogeneous MapReduce Clusters with Adaptive Task Tuning.
IEEE Trans. Parallel Distributed Syst., 2017

Cross-Platform Resource Scheduling for Spark and MapReduce on YARN.
IEEE Trans. Computers, 2017

Adaptive scheduling of parallel jobs in spark streaming.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2016
Elastic Power-Aware Resource Provisioning of Heterogeneous Workloads in Self-Sustainable Datacenters.
IEEE Trans. Computers, 2016

2015
Self-Tuning Batching with DVFS for Performance Improvement and Energy Efficiency in Internet Servers.
ACM Trans. Auton. Adapt. Syst., 2015

Resource and Deadline-Aware Job Scheduling in Dynamic Hadoop Clusters.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

StoreApp: A shared storage appliance for efficient and scalable virtualized Hadoop clusters.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Towards Energy Efficiency in Heterogeneous Hadoop Clusters by Adaptive Task Assignment.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014
Improving MapReduce performance in heterogeneous environments with adaptive task tuning.
Proceedings of the 15th International Middleware Conference, 2014

Heterogeneity-Aware Workload Placement and Migration in Distributed Sustainable Datacenters.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013
Self-Tuning Batching with DVFS for Improving Performance and Energy Efficiency in Servers.
Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013


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