David Langerman

According to our database, David Langerman authored at least 7 papers between 2018 and 2024.

Collaborative distances:

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

2024

Benchmarking Inference of Transformer-Based Transcription Models With Clustering on Embedded GPUs.

Marika E. Schubert, David Langerman, Alan D. George

IEEE Access, 2024

2023

High-Level Frameworks: Effect on Transformer Inference Time and Power on Embedded GPU Devices.

Marika E. Schubert, David Langerman, Alan D. George

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2021

Real-time, High-resolution Depth Upsampling on Embedded Accelerators.

David Langerman, Alan D. George

ACM Trans. Embed. Comput. Syst., 2021

2020

Transformers for Classifying Fourth Amendment Elements and Factors Tests.

Evan Gretok, David Langerman, Wesley M. Oliver

Proceedings of the Legal Knowledge and Information Systems, 2020

Beyond Floating-Point Ops: CNN Performance Prediction with Critical Datapath Length.

David Langerman, Alex Johnson, Kyle Buettner, Alan D. George

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2018

Accelerating Real-Time, High-Resolution Depth Upsampling on FPGAs.

David Langerman, Sebastian Sabogal, Barath Ramesh, Alan D. George

Proceedings of the IEEE International Conference on Image Processing, 2018

Deep Learning for Hyperspectral Image Classification on Embedded Platforms.

Siddharth Balakrishnan, David Langerman, Evan Gretok, Alan D. George

Proceedings of the IEEE International Conference on Image Processing, 2018