David Troendle

According to our database, David Troendle authored at least 9 papers between 2017 and 2022.

Collaborative distances:

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

2022

One-Class Model for Fabric Defect Detection.

Hao Zhou, Yixin Chen, David Troendle, Byunghyun Jang

CoRR, 2022

Cuckoo Node Hashing on GPUs.

Muhammad Javed, Hao Zhou, David Troendle, Byunghyun Jang

Proceedings of the 21st International Symposium on Parallel and Distributed Computing, 2022

A Concurrent Relaxed Queue for Unordered Parallel Accesses on GPUs.

Mengshen Zhao, David Troendle, Byunghyun Jang

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

DACHash: A Dynamic, Cache-Aware and Concurrent Hash Table on GPUs.

Hao Zhou, David Troendle, Byunghyun Jang

Proceedings of the 33rd IEEE International Symposium on Computer Architecture and High Performance Computing, 2021

Detecting fabric density and weft distortion in woven fabrics using the discrete fourier transform.

Bach Le, David Troendle, Byunghyun Jang

Proceedings of the ACM SE '21: 2021 ACM Southeast Conference, 2021

2020

Exploring Faster RCNN for Fabric Defect Detection.

Hao Zhou, Byunghyun Jang, Yixin Chen, David Troendle

Proceedings of the Third International Conference on Artificial Intelligence for Industries, 2020

2019

A Specialized Concurrent Queue for Scheduling Irregular Workloads on GPUs.

David Troendle, Tuan Ta, Byunghyun Jang

Proceedings of the 48th International Conference on Parallel Processing, 2019

2017

Understanding the Impact of Fine-Grained Data Sharing and Thread Communication on Heterogeneous Workload Development.

Tuan Ta, David Troendle, Xiaoqi Hu, Byunghyun Jang

Proceedings of the 16th International Symposium on Parallel and Distributed Computing, 2017

Contention-Aware Selective Caching to Mitigate Intra-Warp Contention on GPUs.

Kyoshin Choo, David Troendle, Esraa A. Gad, Byunghyun Jang

Proceedings of the 16th International Symposium on Parallel and Distributed Computing, 2017