Perry Gibson

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Multilingual Information Retrieval

Fault Localization

Software Development

Top Venues

Publications

Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CGO (2024)
Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CoRR (2023)
Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition. ASE (2023)
Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
Fix-Con: Automatic Fault Localization and Repair of Deep Learning Model Conversions. CoRR (2023)
Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
MutateNN: Mutation Testing of Image Recognition Models Deployed on Hardware Accelerators. CoRR (2023)
Perry Gibson, José Cano, Elliot J. Crowley, Amos J. Storkey, Michael F. P. O'Boyle
DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack. CoRR (2023)
Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
Fault Localization for Framework Conversions of Image Recognition Models. CoRR (2023)
Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli
SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference. J. Parallel Distributed Comput. 173 (2023)
Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models. ICSME (2023)
Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
A Differential Testing Framework to Evaluate Image Recognition Model Robustness. CoRR (2023)
Perry Gibson, José Cano
Reusing Auto-Schedules for Efficient DNN Compilation. CoRR (2022)
Axel Stjerngren, Perry Gibson, José Cano
Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators. ISPASS (2022)
Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan
Exploring Effects of Computational Parameter Changes to Image Recognition Systems. CoRR (2022)
Axel Stjerngren, Perry Gibson, José Cano
Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators. CoRR (2022)
Perry Gibson, José Cano
Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection. CoRR (2022)
Perry Gibson, José Cano
Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation. PACT (2022)
Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. CoRR (2021)
Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. SBAC-PAD (2021)
Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey
Optimizing Grouped Convolutions on Edge Devices. ASAP (2020)
Perry Gibson, José Cano
Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. CoRR (2020)
Perry Gibson, José Cano
Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. ISPASS (2020)
Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey
Optimizing Grouped Convolutions on Edge Devices. CoRR (2020)