José Cano

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 40

Top Topics

Convolutional Neural Networks

Fault Localization

Top Venues

Publications

Jude Haris, Nicolas Bohm Agostini, Antonino Tumeo, David R. Kaeli, José Cano
Data Transfer Optimizations for Host-CPU and Accelerators in AXI4MLIR. CoRR (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. 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)
Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau, Mounia Kharbouche-Harrari
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. 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)
Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau, Mounia Kharbouche-Harrari
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. IJCNN (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)
Martina Lofqvist, José Cano
Optimizing Data Processing in Space for Object Detection in Satellite Imagery. CoRR (2021)
Shi Dong, Yifan Sun, Nicolas Bohm Agostini, Elmira Karimi, Daniel Lowell, Jing Zhou, José Cano, José L. Abellán, David R. Kaeli
Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Trans. Parallel Distributed Syst. 32 (10) (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)
Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos J. Storkey, Michael F. P. O'Boyle
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. CoRR (2020)
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)
Martina Lofqvist, José Cano
Accelerating Deep Learning Applications in Space. CoRR (2020)
Perry Gibson, José Cano
Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. CoRR (2020)
Nicolas Bohm Agostini, Shi Dong, Elmira Karimi, Marti Torrents Lapuerta, José Cano, José L. Abellán, David R. Kaeli
Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. SBAC-PAD (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)
Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, José Cano, Elliot J. Crowley, Björn Franke, Amos J. Storkey, Michael F. P. O'Boyle
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. IISWC (2019)
Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. CoRR (2018)
Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. IISWC (2018)
José Cano, David Robert White, Alejandro Bordallo, Ciaran McCreesh, Anna Lito Michala, Jeremy Singer, Vijay Nagarajan
Solving the task variant allocation problem in distributed robotics. Auton. Robots 42 (7) (2018)
Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos J. Storkey, Michael F. P. O'Boyle
HAKD: Hardware Aware Knowledge Distillation. CoRR (2018)
José Cano, Yiming Yang, Bruno Bodin, Vijay Nagarajan, Michael F. P. O'Boyle
Automatic Parameter Tuning of Motion Planning Algorithms. IROS (2018)
Rakesh Kumar, José Cano, Aleksandar Brankovic, Demos Pavlou, Kyriakos Stavrou, Enric Gibert, Alejandro Martínez, Antonio Gonzalez
HW/SW co-designed processors: Challenges, design choices and a simulation infrastructure for evaluation. ISPASS (2017)
José Cano, David Robert White, Alejandro Bordallo, Ciaran McCreesh, Patrick Prosser, Jeremy Singer, Vijay Nagarajan
Task Variant Allocation in Distributed Robotics. Robotics: Science and Systems (2016)
José Cano, Rakesh Kumar, Aleksandar Brankovic, Demos Pavlou, Kyriakos Stavrou, Enric Gibert, Alejandro Martínez, Antonio González
Quantitative characterization of the software layer of a HW/SW co-designed processor. IISWC (2016)
José Cano, Alejandro Bordallo, Vijay Nagarajan, Subramanian Ramamoorthy, Sethu Vijayakumar
Automatic configuration of ROS applications for near-optimal performance. IROS (2016)
José Cano, Eduardo J. Molinos, Vijay Nagarajan, Sethu Vijayakumar
Dynamic process migration in heterogeneous ROS-based environments. ICAR (2015)
José Cano, Jose Flich, Antoni Roca, José Duato, Marcello Coppola, Riccardo Locatelli
Efficient Routing in Heterogeneous SoC Designs with Small Implementation Overhead. IEEE Trans. Computers 63 (3) (2014)
MaJosé Villanueva, Carlos Miguel Tavares Calafate, Alvaro Torres, José Cano, Juan-Carlos Cano, Pietro Manzoni
Seamless MANET autoconfiguration through enhanced 802.11 beaconing. Mob. Inf. Syst. 9 (1) (2013)
Qiaoyan Yu, José Cano, José Flich, Paul Ampadu
Transient and Permanent Error Control for High-End Multiprocessor Systems-on-Chip. NOCS (2012)
Florentine Dubois, José Cano, Marcello Coppola, José Flich, Frédéric Pétrot
Spidergon STNoC design flow. NOCS (2011)
José Cano, José Flich, José Duato, Marcello Coppola, Riccardo Locatelli
Efficient routing implementation in complex systems-on-chip. NOCS (2011)
José Cano, Juan-Carlos Cano, Chai-Keong Toh, Carlos Miguel Tavares Calafate, Pietro Manzoni
EasyMANET: an extensible and configurable platform for service provisioning in MANET environments. IEEE Commun. Mag. 48 (12) (2010)
José Cano, Juan-Carlos Cano, Carlos Miguel Tavares Calafate, Pietro Manzoni
Solving the user-to-host binding problem in ad hoc networks through photo-ids. PE-WASUN (2007)
José Cano, Juan-Carlos Cano, Pietro Manzoni, David Ferrández-Bell
On the Design of Spontaneous Networks Using a P2P Approach and Bluetooth. ISCC (2005)
José Cano
The Newton Polygon Method for Differential Equations. IWMM/GIAE (2004)