Pengyu Wang

According to our database, Pengyu Wang authored at least 14 papers between 2019 and 2023.

Collaborative distances:

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

2023

Optimizing GPU-Based Graph Sampling and Random Walk for Efficiency and Scalability.

Pengyu Wang, Cheng Xu, Chao Li, Jing Wang, Taolei Wang, Lu Zhang, Xiaofeng Hou, Minyi Guo

IEEE Trans. Computers, September, 2023

Fargraph+: Excavating the parallelism of graph processing workload on RDMA-based far memory system.

Jing Wang, Chao Li, Yibo Liu, Taolei Wang, Junyi Mei, Lu Zhang, Pengyu Wang, Minyi Guo

J. Parallel Distributed Comput., July, 2023

DRAGON: Dynamic Recurrent Accelerator for Graph Online Convolution.

José Romero Hung, Chao Li, Taolei Wang, Jinyang Guo, Pengyu Wang, Chuanming Shao, Jing Wang, Guoyong Shi, Xiangwen Liu, Hanqing Wu

ACM Trans. Design Autom. Electr. Syst., January, 2023

High-Throughput GPU Random Walk with Fine-Tuned Concurrent Query Processing.

Cheng Xu, Chao Li, Pengyu Wang, Xiaofeng Hou, Jing Wang, Shixuan Sun, Minyi Guo, Hanqing Wu, Dongbai Chen, Xiangwen Liu

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

2022

Tapping into NFV Environment for Opportunistic Serverless Edge Function Deployment.

Lu Zhang, Weiqi Feng, Chao Li, Xiaofeng Hou, Pengyu Wang, Jing Wang, Minyi Guo

IEEE Trans. Computers, 2022

Oversubscribing GPU Unified Virtual Memory: Implications and Suggestions.

Chuanming Shao, Jinyang Guo, Pengyu Wang, Jing Wang, Chao Li, Minyi Guo

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Excavating the Potential of Graph Workload on RDMA-based Far Memory Architecture.

Jing Wang, Chao Li, Taolei Wang, Lu Zhang, Pengyu Wang, Junyi Mei, Minyi Guo

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

ACE-GCN: A Fast Data-driven FPGA Accelerator for GCN Embedding.

José Romero Hung, Chao Li, Pengyu Wang, Chuanming Shao, Jinyang Guo, Jing Wang, Guoyong Shi

ACM Trans. Reconfigurable Technol. Syst., 2021

Grus: Toward Unified-memory-efficient High-performance Graph Processing on GPU.

Pengyu Wang, Jing Wang, Chao Li, Jianzong Wang, Haojin Zhu, Minyi Guo

ACM Trans. Archit. Code Optim., 2021

Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs.

Pengyu Wang, Chao Li, Jing Wang, Taolei Wang, Lu Zhang, Jingwen Leng, Quan Chen, Minyi Guo

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2019

Characterizing and orchestrating NFV-ready servers for efficient edge data processing.

Lu Zhang, Chao Li, Pengyu Wang, Yunxin Liu, Yang Hu, Quan Chen, Minyi Guo

Proceedings of the International Symposium on Quality of Service, 2019

Excavating the Potential of GPU for Accelerating Graph Traversal.

Pengyu Wang, Lu Zhang, Chao Li, Minyi Guo

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Performance of Training Sparse Deep Neural Networks on GPUs.

Jianzong Wang, Zhangcheng Huang, Lingwei Kong, Jing Xiao, Pengyu Wang, Lu Zhang, Chao Li

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

PSL: Exploiting Parallelism, Sparsity and Locality to Accelerate Matrix Factorization on x86 Platforms.

Weixin Deng, Pengyu Wang, Jing Wang, Chao Li, Minyi Guo

Proceedings of the Benchmarking, Measuring, and Optimizing, 2019