Weihao Cui

According to our database, Weihao Cui authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Accelerating Sparse DNNs Based on Tiled GEMM.

Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo

IEEE Trans. Computers, May, 2024

A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters.

Chunyu Xue, Weihao Cui, Han Zhao, Quan Chen, Shulai Zhang, Pengyu Yang, Jing Yang, Shaobo Li, Minyi Guo

CoRR, 2024

2023

Improving Cluster Utilization Through Adaptive Resource Management for Deep Neural Network and CPU Jobs Colocation.

Han Zhao, Weihao Cui, Quan Chen, Jingwen Leng, Deze Zeng, Minyi Guo

IEEE Trans. Computers, December, 2023

ISPA: Exploiting Intra-SM Parallelism in GPUs via Fine-Grained Resource Management.

Han Zhao, Weihao Cui, Quan Chen, Minyi Guo

IEEE Trans. Computers, May, 2023

Optimizing Dynamic Neural Networks with Brainstorm.

Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Microless: Cost-Efficient Hybrid Deployment of Microservices on IaaS VMs and Serverless.

Jiagan Cheng, Yilong Zhao, Zijun Li, Quan Chen, Weihao Cui, Minyi Guo

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Maximizing the Utilization of GPUs Used by Cloud Gaming through Adaptive Co-location with Combo.

Binghao Chen, Han Zhao, Weihao Cui, Yifu He, Shulai Zhang, Quan Chen, Zijun Li, Minyi Guo

Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs.

Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

Toward QoS-Awareness and Improved Utilization of Spatial Multitasking GPUs.

Wei Zhang, Quan Chen, Ningxin Zheng, Weihao Cui, Kaihua Fu, Minyi Guo

IEEE Trans. Computers, 2022

DVABatch: Diversity-aware Multi-Entry Multi-Exit Batching for Efficient Processing of DNN Services on GPUs.

Weihao Cui, Han Zhao, Quan Chen, Hao Wei, Zirui Li, Deze Zeng, Chao Li, Minyi Guo

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

PAME: precision-aware multi-exit DNN serving for reducing latencies of batched inferences.

Shulai Zhang, Weihao Cui, Quan Chen, Zhengnian Zhang, Yue Guan, Jingwen Leng, Chao Li, Minyi Guo

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS.

Han Zhao, Weihao Cui, Quan Chen, Youtao Zhang, Yanchao Lu, Chao Li, Jingwen Leng, Minyi Guo

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021

E²bird: Enhanced Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services.

Weihao Cui, Quan Chen, Han Zhao, Mengze Wei, Xiaoxin Tang, Minyi Guo

IEEE Trans. Parallel Distributed Syst., 2021

Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction.

Weihao Cui, Han Zhao, Quan Chen, Ningxin Zheng, Jingwen Leng, Jieru Zhao, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo

Proceedings of the International Conference for High Performance Computing, 2021

Exploiting Intra-SM Parallelism in GPUs via Persistent and Elastic Blocks.

Han Zhao, Weihao Cui, Quan Chen, Jieru Zhao, Jingwen Leng, Minyi Guo

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

2020

CODA: Improving Resource Utilization by Slimming and Co-locating DNN and CPU Jobs.

Han Zhao, Weihao Cui, Quan Chen, Jingwen Leng, Kai Yu, Deze Zeng, Chao Li, Minyi Guo

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

Laius: Towards latency awareness and improved utilization of spatial multitasking accelerators in datacenters.

Wei Zhang, Weihao Cui, Kaihua Fu, Quan Chen, Daniel Edward Mawhirter, Bo Wu, Chao Li, Minyi Guo

Proceedings of the ACM International Conference on Supercomputing, 2019

Ebird: Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services.

Weihao Cui, Mengze Wei, Quan Chen, Xiaoxin Tang, Jingwen Leng, Li Li, Mingyi Guo

Proceedings of the 37th IEEE International Conference on Computer Design, 2019