Clayton J. Faber

According to our database, Clayton J. Faber authored at least 6 papers between 2018 and 2025.

Collaborative distances:

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

2025

HLPerf: Demystifying the Performance of HLS-based Graph Neural Networks with Dataflow Architectures.

Chenfeng Zhao, Clayton J. Faber, Roger D. Chamberlain, Xuan Zhang

ACM Trans. Reconfigurable Technol. Syst., 2025

Application of Network Calculus Models to Heterogeneous Streaming Applications.

Clayton J. Faber, Roger D. Chamberlain

Int. J. Netw. Comput., 2025

2022

Challenges Designing for FPGAs Using High-Level Synthesis.

Clayton J. Faber, Steven D. Harris, Zhili Xiao, Roger D. Chamberlain, Anthony M. Cabrera

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

2021

Platform Agnostic Streaming Data Application Performance Models.

Clayton J. Faber, Tom Plano, Samatha Kodali, Zhili Xiao, Abhishek Dwaraki, Jeremy D. Buhler, Roger D. Chamberlain, Anthony M. Cabrera

Proceedings of the IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop, 2021

2019

Data Integration Tasks on Heterogeneous Systems Using OpenCL.

Clayton J. Faber, Anthony M. Cabrera, Orondé Booker, Gabe Maayan, Roger D. Chamberlain

Proceedings of the International Workshop on OpenCL, 2019

2018

DIBS: A Data Integration Benchmark Suite.

Anthony M. Cabrera, Clayton J. Faber, Kyle Cepeda, Robert Derber, Cooper Epstein, Jason Zheng, Ron K. Cytron, Roger D. Chamberlain

Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018