Perry Gibson - RankMe

27 papers A* 1A 3B 3C 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DLAS: A Conceptual Model for Across-Stack Deep Learning Acceleration. ACM Trans. Archit. Code Optim. Perry Gibson, José Cano, Elliot Crowley, Amos Storkey, Michael F. P. O'Boyle
2025	—	`conf`	Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs. EuroMLSys Aidan Ferguson, Perry Gibson, Lara D'Agata, Parker McLeod, Ferhat Yaman, Amitabh Das, Ian Colbert, José Cano
2025	J	`jnl`	Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs. CoRR Aidan Ferguson, Perry Gibson, Lara D'Agata, Parker McLeod, Ferhat Yaman, Amitabh Das, Ian Colbert, José Cano
2025	—	`conf`	Exploring Robustness of Image Recognition Models on Hardware Accelerators. ICSTW Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2025	A	`conf`	FetaFix: Automatic Fault Localization and Repair of Deep Learning Model Conversions. EASE Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2024	A	`conf`	AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CGO Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli
2023	J	`jnl`	A Differential Testing Framework to Evaluate Image Recognition Model Robustness. CoRR Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2023	J	`jnl`	AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CoRR Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli
2023	J	`jnl`	DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack. CoRR Perry Gibson, José Cano, Elliot J. Crowley, Amos Storkey, Michael F. P. O'Boyle
2023	A	`conf`	DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models. ICSME Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2023	A*	`conf`	Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition. ASE Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2023	J	`jnl`	Fault Localization for Framework Conversions of Image Recognition Models. CoRR Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2023	J	`jnl`	Fix-Con: Automatic Fault Localization and Repair of Deep Learning Model Conversions. CoRR Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2023	J	`jnl`	MutateNN: Mutation Testing of Image Recognition Models Deployed on Hardware Accelerators. CoRR Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2023	J	`jnl`	SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference. J. Parallel Distributed Comput. Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli
2022	J	`jnl`	Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators. CoRR Axel Stjerngren, Perry Gibson, José Cano
2022	B	`conf`	Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators. ISPASS Axel Stjerngren, Perry Gibson, José Cano
2022	J	`jnl`	Exploring Effects of Computational Parameter Changes to Image Recognition Systems. CoRR Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
2022	J	`jnl`	Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection. CoRR Perry Gibson, José Cano
2022	J	`jnl`	Reusing Auto-Schedules for Efficient DNN Compilation. CoRR Perry Gibson, José Cano
2022	B	`conf`	Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation. PACT Perry Gibson, José Cano
2021	C	`conf`	SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. SBAC-PAD Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli
2021	J	`jnl`	SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. CoRR Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli
2020	—	`conf`	Optimizing Grouped Convolutions on Edge Devices. ASAP Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey
2020	J	`jnl`	Optimizing Grouped Convolutions on Edge Devices. CoRR Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos Storkey
2020	B	`conf`	Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. ISPASS Perry Gibson, José Cano
2020	J	`jnl`	Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. CoRR Perry Gibson, José Cano