José Cano

Orcid: 0000-0002-2243-389X

Affiliations:
  • University of Edinburgh, UK


According to our database1, José Cano authored at least 43 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Data Transfer Optimizations for Host-CPU and Accelerators in AXI4MLIR.
CoRR, 2024

AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023
SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference.
J. Parallel Distributed Comput., March, 2023

Fix-Con: Automatic Fault Localization and Repair of Deep Learning Model Conversions.
CoRR, 2023

DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack.
CoRR, 2023

A Differential Testing Framework to Evaluate Image Recognition Model Robustness.
CoRR, 2023

Fault Localization for Framework Conversions of Image Recognition Models.
CoRR, 2023

MutateNN: Mutation Testing of Image Recognition Models Deployed on Hardware Accelerators.
CoRR, 2023

Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

2022
Exploring Effects of Computational Parameter Changes to Image Recognition Systems.
CoRR, 2022

Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection.
CoRR, 2022

Reusing Auto-Schedules for Efficient DNN Compilation.
CoRR, 2022

Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators.
Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021
Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs.
IEEE Trans. Parallel Distributed Syst., 2021

Optimizing Data Processing in Space for Object Detection in Satellite Imagery.
CoRR, 2021

SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference.
Proceedings of the 33rd IEEE International Symposium on Computer Architecture and High Performance Computing, 2021

2020
Accelerating Deep Learning Applications in Space.
CoRR, 2020

Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC.
Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

Optimizing Grouped Convolutions on Edge Devices.
Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

2019
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs.
Proceedings of the IEEE International Symposium on Workload Characterization, 2019

2018
HAKD: Hardware Aware Knowledge Distillation.
CoRR, 2018

Solving the task variant allocation problem in distributed robotics.
Auton. Robots, 2018

Automatic Parameter Tuning of Motion Planning Algorithms.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

2017
HW/SW co-designed processors: Challenges, design choices and a simulation infrastructure for evaluation.
Proceedings of the 2017 IEEE International Symposium on Performance Analysis of Systems and Software, 2017

2016
Task Variant Allocation in Distributed Robotics.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Automatic configuration of ROS applications for near-optimal performance.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Quantitative characterization of the software layer of a HW/SW co-designed processor.
Proceedings of the 2016 IEEE International Symposium on Workload Characterization, 2016

2015
Dynamic process migration in heterogeneous ROS-based environments.
Proceedings of the International Conference on Advanced Robotics, 2015

2014
Efficient Routing in Heterogeneous SoC Designs with Small Implementation Overhead.
IEEE Trans. Computers, 2014

2013
Seamless MANET autoconfiguration through enhanced 802.11 beaconing.
Mob. Inf. Syst., 2013

2012
Transient and Permanent Error Control for High-End Multiprocessor Systems-on-Chip.
Proceedings of the 2012 Sixth IEEE/ACM International Symposium on Networks-on-Chip (NoCS), 2012

2011
Spidergon STNoC design flow.
Proceedings of the NOCS 2011, 2011

Efficient routing implementation in complex systems-on-chip.
Proceedings of the NOCS 2011, 2011

2010
EasyMANET: an extensible and configurable platform for service provisioning in MANET environments.
IEEE Commun. Mag., 2010

2007
Solving the user-to-host binding problem in ad hoc networks through photo-ids.
Proceedings of the 4th ACM International Workshop on Performance Evaluation of Wireless Ad Hoc, 2007

2006
A MANET Autoconfiguration System based on Bluetooth Technology.
Proceedings of the 3rd IEEE International Symposium on Wireless Communication Systems, 2006

2005
On the Design of Spontaneous Networks Using a P2P Approach and Bluetooth.
Proceedings of the 10th IEEE Symposium on Computers and Communications (ISCC 2005), 2005

2004
The Newton Polygon Method for Differential Equations.
Proceedings of the Computer Algebra and Geometric Algebra with Applications, 2004


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