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José Cano 0001
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- affiliation: University of Edinburgh, UK
Other persons with the same name
- José Cano — disambiguation page
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2020 – today
- 2024
- [j7]Shivani Jamwal
, José Cano
A survey on Ethereum pseudonymity: Techniques, challenges, and future directions. J. Netw. Comput. Appl. 232: 104019 (2024) - [c25]Nicolas Bohm Agostini
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CGO 2024: 143-157 - [i22]Jude Haris, Nicolas Bohm Agostini
Data Transfer Optimizations for Host-CPU and Accelerators in AXI4MLIR. CoRR abs/2402.19184 (2024) - [i21]Jude Haris, Rappy Saha, Wenhao Hu, José Cano:
Designing Efficient LLM Accelerators for Edge Devices. CoRR abs/2408.00462 (2024) - [i20]Rappy Saha, Jude Haris, José Cano:
Accelerating PoT Quantization on Edge Devices. CoRR abs/2409.20403 (2024) - 2023
- [j6]Jude Haris
SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference. J. Parallel Distributed Comput. 173: 140-151 (2023) - [c24]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: 414-424 - [c23]Ferheen Ayaz
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. IJCNN 2023: 1-8 - [c22]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition. ASE 2023: 1795-1799 - [e2]José Cano
Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28 - September 1, 2023, Proceedings. Lecture Notes in Computer Science 14100, Springer 2023, ISBN 978-3-031-39697-7 [contents] - [i19]Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. CoRR abs/2304.12829 (2023) - [i18]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
MutateNN: Mutation Testing of Image Recognition Models Deployed on Hardware Accelerators. CoRR abs/2306.01697 (2023) - [i17]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
Fault Localization for Framework Conversions of Image Recognition Models. CoRR abs/2306.06157 (2023) - [i16]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
A Differential Testing Framework to Evaluate Image Recognition Model Robustness. CoRR abs/2306.06208 (2023) - [i15]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 abs/2311.08909 (2023) - [i14]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 abs/2312.14821 (2023) - [i13]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
Fix-Con: Automatic Fault Localization and Repair of Deep Learning Model Conversions. CoRR abs/2312.15101 (2023) - 2022
- [c21]Perry Gibson
Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation. PACT 2022: 28-39 - [c20]Axel Stjerngren, Perry Gibson
Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators. ISPASS 2022: 288-299 - [e1]José Cano
Euro-Par 2022: Parallel Processing - 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22-26, 2022, Proceedings. Lecture Notes in Computer Science 13440, Springer 2022, ISBN 978-3-031-12596-6 [contents] - [i12]Perry Gibson, José Cano:
Reusing Auto-Schedules for Efficient DNN Compilation. CoRR abs/2201.05587 (2022) - [i11]Axel Stjerngren, Perry Gibson, José Cano:
Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators. CoRR abs/2204.12418 (2022) - [i10]Perry Gibson, José Cano:
Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection. CoRR abs/2206.09359 (2022) - [i9]Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
Exploring Effects of Computational Parameter Changes to Image Recognition Systems. CoRR abs/2211.00471 (2022) - 2021
- [j5]Shi Dong
Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Trans. Parallel Distributed Syst. 32(10): 2448-2463 (2021) - [c19]Jude Haris
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. SBAC-PAD 2021: 33-43 - [i8]Martina Lofqvist, José Cano:
Optimizing Data Processing in Space for Object Detection in Satellite Imagery. CoRR abs/2107.03774 (2021) - [i7]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 abs/2110.00478 (2021) - 2020
- [c18]Perry Gibson
Optimizing Grouped Convolutions on Edge Devices. ASAP 2020: 189-196 - [c17]Perry Gibson
Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. ISPASS 2020: 229-230 - [c16]Nicolas Bohm Agostini
Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. SBAC-PAD 2020: 10-19 - [i6]Valentin Radu, Kuba Kaszyk
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. CoRR abs/2002.08697 (2020) - [i5]Perry Gibson, José Cano, Jack Turner, Elliot J. Crowley, Michael F. P. O'Boyle, Amos J. Storkey:
Optimizing Grouped Convolutions on Edge Devices. CoRR abs/2006.09791 (2020) - [i4]Martina Lofqvist, José Cano:
Accelerating Deep Learning Applications in Space. CoRR abs/2007.11089 (2020) - [i3]Perry Gibson, José Cano:
Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. CoRR abs/2007.13648 (2020)
2010 – 2019
- 2019
- [c15]Valentin Radu
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. IISWC 2019: 24-34 - 2018
- [j4]José Cano
Solving the task variant allocation problem in distributed robotics. Auton. Robots 42(7): 1477-1495 (2018) - [c14]Jack Turner, José Cano
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. IISWC 2018: 101-110 - [c13]José Cano
Automatic Parameter Tuning of Motion Planning Algorithms. IROS 2018: 8103-8109 - [i2]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 abs/1809.07196 (2018) - [i1]Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos J. Storkey, Michael F. P. O'Boyle:
HAKD: Hardware Aware Knowledge Distillation. CoRR abs/1810.10460 (2018) - 2017
- [c12]Rakesh Kumar, José Cano
HW/SW co-designed processors: Challenges, design choices and a simulation infrastructure for evaluation. ISPASS 2017: 185-194 - 2016
- [c11]José Cano
Quantitative characterization of the software layer of a HW/SW co-designed processor. IISWC 2016: 138-147 - [c10]José Cano
Automatic configuration of ROS applications for near-optimal performance. IROS 2016: 2217-2223 - [c9]José Cano
Task Variant Allocation in Distributed Robotics. Robotics: Science and Systems 2016 - 2015
- [c8]José Cano
Dynamic process migration in heterogeneous ROS-based environments. ICAR 2015: 518-523 - 2014
- [j3]José Cano
Efficient Routing in Heterogeneous SoC Designs with Small Implementation Overhead. IEEE Trans. Computers 63(3): 557-569 (2014) - 2013
- [j2]MaJosé Villanueva, Carlos Miguel Tavares Calafate
Seamless MANET autoconfiguration through enhanced 802.11 beaconing. Mob. Inf. Syst. 9(1): 19-35 (2013) - 2012
- [c7]Qiaoyan Yu, José Cano
Transient and Permanent Error Control for High-End Multiprocessor Systems-on-Chip. NOCS 2012: 169-176 - 2011
- [c6]José Cano
Efficient routing implementation in complex systems-on-chip. NOCS 2011: 1-8 - [c5]Florentine Dubois, José Cano
Spidergon STNoC design flow. NOCS 2011: 267-268 - 2010
- [j1]José Cano
EasyMANET: an extensible and configurable platform for service provisioning in MANET environments. IEEE Commun. Mag. 48(12): 159-167 (2010)
2000 – 2009
- 2007
- [c4]José Cano
Solving the user-to-host binding problem in ad hoc networks through photo-ids. PE-WASUN 2007: 78-81 - 2006
- [c3]José Cano Reyes
A MANET Autoconfiguration System based on Bluetooth Technology. ISWCS 2006: 674-678 - 2005
- [c2]José Cano, Juan-Carlos Cano
On the Design of Spontaneous Networks Using a P2P Approach and Bluetooth. ISCC 2005: 125-130 - 2004
- [c1]José Cano:
The Newton Polygon Method for Differential Equations. IWMM/GIAE 2004: 18-30
Coauthor Index
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