Pengfei Su

According to our database, Pengfei Su authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor.

Zhen Xie, Murali Emani, Xiaodong Yu, Dingwen Tao, Xin He, Pengfei Su, Keren Zhou, Venkatram Vishwanath

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

2023

MicroProf: Code-level Attribution of Unnecessary Data Transfer in Microservice Applications.

Syed Salauddin Mohammad Tariq, Lance Menard, Pengfei Su, Probir Roy

ACM Trans. Archit. Code Optim., December, 2023

Designing Secure Performance Metrics for Last Level Cache.

Probir Roy, Birhanu Eshete, Pengfei Su

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

DJXPerf: Identifying Memory Inefficiencies via Object-Centric Profiling for Java.

Bolun Li, Pengfei Su, Milind Chabbi, Shuyin Jiao, Xu Liu

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization, 2023

DrGPUM: Guiding Memory Optimization for GPU-Accelerated Applications.

Mao Lin, Keren Zhou, Pengfei Su

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

OJXPERF: Featherlight Object Replica Detection for Java Programs.

Bolun Li, Hao Xu, Qidong Zhao, Pengfei Su, Milind Chabbi, Shuyin Jiao, Xu Liu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2019

Pinpointing performance inefficiencies in Java.

Pengfei Su, Qingsen Wang, Milind Chabbi, Xu Liu

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Pinpointing performance inefficiencies via lightweight variance profiling.

Pengfei Su, Shuyin Jiao, Milind Chabbi, Xu Liu

Proceedings of the International Conference for High Performance Computing, 2019

Lightweight hardware transactional memory profiling.

Qingsen Wang, Pengfei Su, Milind Chabbi, Xu Liu

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

Redundant loads: a software inefficiency indicator.

Pengfei Su, Shasha Wen, Hailong Yang, Milind Chabbi, Xu Liu

Proceedings of the 41st International Conference on Software Engineering, 2019