Perry Gibson

University of Glasgow — United Kingdom

Computer Science · Physical Sciences

5h-index90citations28works1.32yr avg
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Research Topics

Advanced Neural Network Applications(16), Adversarial Robustness in Machine Learning(11), Parallel Computing and Optimization Techniques(8), Software Testing and Debugging Techniques(4), Machine Learning and Data Classification(4)

Publications28 total

FetaFix: Automatic Fault Localization and Repair of Deep Learning Model Conversions
2025Open Access
Exploring Robustness of Image Recognition Models on Hardware Accelerators
2025Open Access
Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs
2025· 3 citedOpen Access
Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs
arXiv (Cornell University)·2025Open Access
DLAS: A Conceptual Model for Across-Stack Deep Learning Acceleration
ACM Transactions on Architecture and Code Optimization·2024· 2 citedOpen Access
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators
2024· 3 citedOpen Access
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators
arXiv (Cornell University)·2023· 1 citedOpen Access
FetaFix: Automatic Fault Localization and Repair of Deep Learning Model Conversions
arXiv (Cornell University)·2023· 1 citedOpen Access
DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack
arXiv (Cornell University)·2023· 2 citedOpen Access
DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models
2023· 6 citedOpen Access
Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition
2023· 5 citedOpen Access
Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition
arXiv (Cornell University)·2023Open Access
DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models
arXiv (Cornell University)·2023Open Access
Exploring Robustness of Image Recognition Models on Hardware Accelerators
arXiv (Cornell University)·2023Open Access
SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference
Journal of Parallel and Distributed Computing·2022· 10 citedOpen Access
Exploring Effects of Computational Parameter Changes to Image Recognition Systems
arXiv (Cornell University)·2022· 3 citedOpen Access
Transfer-Tuning
2022· 11 cited
Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection
arXiv (Cornell University)·2022Open Access
Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators
2022· 3 citedOpen Access
Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

José Cano(17), José Cano(11), Nikolaos Louloudakis(9), Ajitha Rajan(8), Elliot J. Crowley(5), Michael O’Boyle(5), Amos Storkey(5), Jude Haris(5), Nícolas Bohm Agostini(5), David Kaeli(5), Jack Turner(3), Axel Stjerngren(2), A Ferguson(2), Lara D'Agata(2), Peter McLeod(2), Ferhat Yaman(2), Amitabh Das(2), Ian Colbert(2), Malith Jayaweera(2), Norm Rubin(2)