Perry Gibson

According to our database, Perry Gibson authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators.

Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023

SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference.

Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli

J. Parallel Distributed Comput., March, 2023

Fix-Con: Automatic Fault Localization and Repair of Deep Learning Model Conversions.

Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan

CoRR, 2023

DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack.

Perry Gibson, José Cano, Elliot J. Crowley, Amos J. Storkey, Michael F. P. O'Boyle

CoRR, 2023

A Differential Testing Framework to Evaluate Image Recognition Model Robustness.

Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan

CoRR, 2023

Fault Localization for Framework Conversions of Image Recognition Models.

Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan

CoRR, 2023

MutateNN: Mutation Testing of Image Recognition Models Deployed on Hardware Accelerators.

Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan

CoRR, 2023

Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition.

Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models.

Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

2022

Exploring Effects of Computational Parameter Changes to Image Recognition Systems.

Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan

CoRR, 2022

Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection.

Perry Gibson, José Cano

CoRR, 2022

Reusing Auto-Schedules for Efficient DNN Compilation.

Perry Gibson, José Cano

CoRR, 2022

Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators.

Axel Stjerngren, Perry Gibson, José Cano

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation.

Perry Gibson, José Cano

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference.

Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli

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

2020

Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference.

Perry Gibson, José Cano

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

Optimizing Grouped Convolutions on Edge Devices.

Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey

Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020