Dr Jose Cano Reyes
- Senior Lecturer (Computing Science)
telephone:
+44 (0)141 330 1640
email:
Jose.CanoReyes@glasgow.ac.uk
pronouns:
He/him/his
Room 221a, School of Computing Science, Sir Alwyn Williams Building, 18 Lilybank Gardens, Glasgow G12 8RZ
Biography
I am a Senior Lecturer (Associate Professor) in the School of Computing Science where I lead the Intelligent Computing Lab. I am a member of the GLAsgow Systems Section (GLASS), the Glasgow Parallelism Group (GPG), and a visiting member of ICSA in the School of Informatics at The University of Edinburgh.
Currently, I'm Principal Investigator on the EPSRC PETRAS project MAISE (Multimodal AI-based Security at the Edge) and Co-Investigator on the UKRI "Digital Security by Design" projects AppControl and Morello-HAT.
Previously, I was a Postdoctoral Research Associate (January 2014 - August 2018) with the CArD Group at the Institute for Computing Systems Architecture in the School of Informatics at The University of Edinburgh. I worked with Michael O'Boyle and Amos Storkey on the H2020 BONSEYES project, and with Vijay Nagarajan on the EPSRC AnyScale Applications project. I joined the ARCO Research Group in the Department of Computer Architecture at Universitat Politecnica de Catalunya - BarcelonaTech in March 2012, when I was a Postdoctoral Researcher until Dec 2013. I received the M.S. and Ph.D. degrees in Computer Science from Universitat Politecnica de Valencia in Sept 2004 and Feb 2012, respectively. I was a member with the Networking Research Group (Sept 2005 - Feb 2012) and also with the Parallel Architectures Group (Dec 2009 - Feb 2012) in the Department of Computing Engineering at Universitat Politecnica de Valencia. I'm a senior member of IEEE and ACM and member of HiPEAC.
Personal website: http://www.dcs.gla.ac.uk/~josecr/
Research interests
My research interests are in the broad areas of: Computer Architecture, Computer Systems, Compilers, Machine Learning and Security.
My current research is focused on:
- Hardware/Software co-design approaches to efficiently deploy Deep Learning applications on mobile/embedded edge devices (e.g. IoT boards, phones, drones, mobile robots, satellites)
- Acceleration of Machine Learning training
- Design, optimisation and evaluation of Networks-on-Chip (NoCs) for emerging processors/accelerators
- Resilience of Artificial Intelligence and Machine Learning models on IoT-scale devices
- Digital Security by Design for Mission-Critical Systems-on-Chip
Publications
2023
Louloudakis, N., Gibson, P. , Cano Reyes, J. and Rajan, A. (2023) DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models. In: 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2023), Bogota, Columbia, 1-6 Oct 2023, (Accepted for Publication)
Hu, W., Gibson, P. and Cano, J. (2023) ICE-Pick: Iterative Cost-Efficient Pruning for DNNs. ICML 2023 Workshop on Neural Compression, Honolulu, Hawaii, USA, 28-29 July 2023.
Louloudakis, N., Gibson, P., Cano, J. and Rajan, A. (2023) Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition. In: 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), Kirchberg, Luxembourg, 11-15 September 2023, (Accepted for Publication)
Ayaz, F. , Zakariyya, I., Cano Reyes, J. , Keoh, S. L. , Singer, J. , Pau, D. and Mounia, K.-H. (2023) Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. In: International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Australia, 18-23 June 2023, (Accepted for Publication)
Haris, J., Gibson, P., Cano, J. , Bohm Agostini, N. and Kaeli, D. (2023) SECDA-TFLite: a toolkit for efficient development of FPGA-based DNN accelerators for edge inference. Journal of Parallel and Distributed Computing, 173, pp. 140-151. (doi: 10.1016/j.jpdc.2022.11.005)
2022
Gibson, P. and Cano, J. (2022) Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation. In: 31st International Conference on Parallel Architectures and Compilation Techniques (PACT2022), Chicago, USA, 10-12 October 2022, (Accepted for Publication)
Haris, J., Gibson, P., Cano, J. , Agostini, N. B. and Kaeli, D. (2022) Hardware/Software Co-Design of Edge DNN Accelerators with TFLite. 18th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, 10-16 July 2022.
Gibson, P. and Cano, J. (2022) Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection. 4th Workshop on Accelerated Machine Learning (AccML), co-located with the HiPEAC conference, Budapest, 22 June 2022.
Stjerngren, A., Gibson, P. and Cano, J. (2022) Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators. In: 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Singapore, 22-24 May 2022, pp. 288-299. ISBN 9781665459549 (doi: 10.1109/ISPASS55109.2022.00042)
Cano, J. and Trinder, P. (Eds.) (2022) Euro-Par 2022: Parallel Processing. 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22–26, 2022, Proceedings. Series: Lecture notes in computing science. Springer: Cham.
2021
Haris, J., Gibson, P. , Cano, J. , Bohm Agostini, N. and Kaeli, D. (2021) SECDA: Efficient Hardware/Software Co-design of FPGA-based DNN Accelerators for Edge Inference. In: 2021 IEEE 33rd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Belo Horizonte, Brazil, 26-28 Oct 2021, pp. 33-43. ISBN 9781665443012 (doi: 10.1109/SBAC-PAD53543.2021.00015)
Dong, S., Sun, Y., Bohm Agostini, N., Karimi, E., Lowell, D., Zhou, J., Cano, J. , Abellán, J. L. and Kaeli, D. (2021) Spartan: a sparsity-adaptive framework to accelerate deep neural network training on GPUs. IEEE Transactions on Parallel and Distributed Systems, 32(10), pp. 2448-2463. (doi: 10.1109/TPDS.2021.3067825)
Lofqvist, M. and Cano, J. (2021) Optimizing Data Processing in Space for Object Detection in Satellite Imagery. 35th Annual Small Satellite Conference, 07-12 Aug 2021.
2020
Gibson, P. and Cano, J. (2020) Orpheus: a New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. In: 2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 23-26 Aug 2020, pp. 229-230. ISBN 9781728147987 (doi: 10.1109/ISPASS48437.2020.00042)
Bohm Agostini, N., Dong, S., Elmira, K., Marti, T. L., Cano, J. , Abellán, J. L. and Kaeli, D. (2020) Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. In: 2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Porto, Portugal, 9-11 Sept. 2020, pp. 10-19. ISBN 9781728199245 (doi: 10.1109/SBAC-PAD49847.2020.00013)
Lofqvist, M. and Cano, J. (2020) Accelerating Deep Learning Applications in Space. 34th Annual Small Satellite Conference, Virtual Conference, 2020.
Gibson, P. , Cano, J. , Turner, J., Crowley, E. J., O’Boyle, M. and Storkey, A. (2020) Evaluating Grouped Spatial Pack Convolutions on Edge CPUs. 16th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Online, 06-17 Jul 2020.
Gibson, P. , Cano, J. , Turner, J., Crowley, E. J., O’Boyle, M. and Storkey, A. (2020) Optimizing Grouped Convolutions on Edge Devices. In: 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP), Manchester, UK, 06-08 Jul 2020, pp. 189-196. ISBN 9781728171470 (doi: 10.1109/ASAP49362.2020.00039)
Haris, J. and Cano, J. (2020) Hardware Acceleration of Deep Neural Networks on Edge Devices with FPGAs. 16th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Online, 06-17 Jul 2020.
2019
Turner, J., Crowley, E. J., Radu, V., Cano, J. , Storkey, A. and O'Boyle, M. (2019) Staircase: Distilling with Performance Enhanced Students for Hardware. ARM Research Summit, Austin, USA, 15-18 Sep 2019.
Turner, J., Crowley, E. J., Radu, V., Cano Reyes, J. , Storkey, A. and O'Boyle, M. (2019) Distilling with performance enhanced students. arXiv, (Unpublished)
Cano, J. , Yang, Y., Bodin, B., Nagarajan, V. and O’Boyle, M. (2019) Automatic Parameter Tuning of Motion Planning Algorithms. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 01-05 Oct 2018, pp. 8103-8109. ISBN 9781538680940 (doi: 10.1109/IROS.2018.8594183)
Radu, V., Kaszyk, K., Wen, Y., Turner, J., Cano, J. , Crowley, E. J., Franke, B., Storkey, A. and O’Boyle, M. (2019) Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. In: 2019 IEEE International Symposium on Workload Characterization (IISWC), Orlando, FL, USA, 03-05 Nov 2019, pp. 24-34. ISBN 9781728140452 (doi: 10.1109/IISWC47752.2019.9042000)
Rovder, S., Cano, J. and O’Boyle, M. (2019) Optimising Convolutional Neural Networks Inference on Low-Powered GPUs. Twelfth International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2019), Valencia, Spain, 21 Jan 2019.
2018
Cano, J. , White, D. R., Bordallo, A., McCreesh, C. , Michala, A. L. , Singer, J. and Nagarajan, V. (2018) Solving the task variant allocation problem in distributed robotics. Autonomous Robots, 42(7), pp. 1477-1495. (doi: 10.1007/s10514-018-9742-5)
Cano, J. , Turner, J., Radu, V. and O'Boyle, M. (2018) Accelerating Deep Convolutional Neural Networks on Low Power Embedded Devices. ARM Research Summit, Cambridge, UK, 17-19 Sep 2018.
Loukadakis, M., Cano, J. and O’Boyle, M. (2018) Accelerating Deep Neural Networks on Low Power Heterogeneous Architectures. Eleventh International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2018), Manchester, UK, 24 Jan 2018.
Turner, J., Cano, J. , Radu, V., Crowley, E. J., O’Boyle, M. and Storkey, A. (2018) Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. In: 2018 IEEE International Symposium on Workload Characterization (IISWC), Raleigh, NC, USA, 30 Sep - 02 Oct 2018, pp. 101-110. ISBN 9781538667804 (doi: 10.1109/IISWC.2018.8573503)
2017
Cano, J. , Kumar, R., Brankovic, A., Pavlou, D., Stavrou, K., Gibert, E., Martinez, A. and Gonzalez, A. (2017) HW/SW Co-designed Processors: Challenges, Design Choices and a Simulation Infrastructure for Evaluation. ARM Research Summit, Cambridge, UK, 11-13 Sep 2017.
Kumar, R., Cano, J. , Pavlou, D., Stavrou, K., Gibert, E., Martinez, A. and González, A. (2017) HW/SW Co-designed Processors: Challenges, Design Choices and a Simulation Infrastructure for Evaluation. In: 2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Santa Rosa, CA, USA, 24-25 Apr 2017, pp. 185-194. ISBN 9781538638903 (doi: 10.1109/ISPASS.2017.7975290)
2016
Cano, J. , White, D. R., Bordallo, A., McCreesh, C., Prosser, P. , Singer, J. and Nagarajan, V. (2016) Task Variant Allocation in Distributed Robotics. In: Robotics Science and Systems 2016, Ann Arbor, MI, USA, 18-22 June 2016, ISBN 9780992374723 (doi: 10.15607/RSS.2016.XII.045)
Cano, J. , Bordallo, A., Nagarajan, V., Ramamoorthy, S. and Vijayakumar, S. (2016) Automatic Configuration of ROS Applications for Near-optimal Performance. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 09-14 Oct 2016, pp. 2217-2223. ISBN 9781509037629 (doi: 10.1109/IROS.2016.7759347)
Cano, J. , Kumar, R., Brankovic, A., Pavlou, D., Stavrou, K., Gibert, E., Martínez, A. and González, A. (2016) Quantitative Characterization of the Software Layer of a HW/SW Co-Designed Processor. In: 2016 IEEE International Symposium on Workload Characterization (IISWC), Providence, RI, USA, 25-27 Sep 2016, pp. 138-147. ISBN 9781509038961 (doi: 10.1109/IISWC.2016.7581274)
2015
Cano, J. , Molinos, E., Nagarajan, V. and Vijayakumar, S. (2015) Dynamic Process Migration in Heterogeneous ROS-based Environments. In: 2015 International Conference on Advanced Robotics (ICAR), Istanbul, Turkey, 27-31 Jul 2015, ISBN 9781467375092 (doi: 10.1109/ICAR.2015.7251505)
2014
STMicroelectronics (Grenoble 2) SAS (2014) Switches and a network of switches. .
Cano, J. , Flich, J., Roca, A., Duato, J., Coppola, M. and Locatelli, R. (2014) Efficient routing in heterogeneous SoC designs with small implementation overhead. IEEE Transactions on Computers, 63(3), pp. 557-569. (doi: 10.1109/TC.2012.299)
2013
Villanueva, M. J., T. Calafate, C., Torres, A., Cano, J. , Cano, J.-C. and Manzoni, P. (2013) Seamless MANET autoconfiguration through enhanced 802.11 beaconing. Mobile Information Systems, 9(1), pp. 19-35. (doi: 10.3233/MIS-2012-0145)
2012
Cano Reyes, J. (2012) Bringing Mobile Ad Hoc Networks to the Masses: an Essay on Autoconfiguration and Service Discovery. LAP Lambert Academic Publishing. ISBN 9783848424320
Cano, J. et al. (2012) Modelling HW/SW Co-Designed Processors. 8th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, 08-14 Jul 2012.
Yu, Q., Cano, J. , Flich, J. and Ampadu, P. (2012) Transient and Permanent Error Control for High-End Multiprocessor Systems-on-Chip. In: 2012 IEEE/ACM Sixth International Symposium on Networks-on-Chip, Copenhagen, Denmark, 09-11 May 2012, pp. 169-176. ISBN 9781467309738 (doi: 10.1109/NOCS.2012.27)
2011
Cano, J. , Flich, J., Duato, J., Coppola, M. and Locatelli, R. (2011) Efficient Routing Implementation in Complex Systems-on-Chip Designs. In: NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip, Pittsburgh, PA, USA, 01-04 May 2011, pp. 1-8. ISBN 9781450307208 (doi: 10.1145/1999946.1999948)
Dubois, F., Cano, J. , Marcello, C., Flich, J. and Pétrot, F. (2011) Spidergon STNoC Design Flow. In: NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip, Pittsburgh, PA, USA, 01-04 May 2011, pp. 267-268. ISBN 9781450307208 (doi: 10.1145/1999946.1999994)
Cano Reyes, J. , Flich, J., Duato, J., Coppola, M. and Locatelli, R. (2011) Mapping Irregular MPSoC Topologies onto 2D-meshes. 7th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, 10-16 Jul 2011.
2010
Cano, J. , Cano, J.-C., Toh, C.-K., Calafate, C. T. and Manzoni, P. (2010) EasyMANET: an extensible and configurable platform for service provisioning in MANET environments. IEEE Communications Magazine, 48(12), pp. 159-167. (doi: 10.1109/MCOM.2010.5673087)
Cano, J. , Cano, J.-C., Calafate, C. T. and Manzoni, P. (2010) Experiences in developing ubiquitous applications. In: Designing Solutions-Based Ubiquitous and Pervasive Computing: New Issues and Trends. Information Science Reference: Hershey, PA, pp. 97-112. ISBN 9781615208432 (doi: 10.4018/978-1-61520-843-2.ch005)
2009
Cano, J.-C., Calafate, C. T., Cano, J. and Manzoni, P. (2009) Deploying pervasive technologies. In: Khosrow-Pour, M. (ed.) Encyclopedia of Information Science and Technology, Second Edition. Information Science Reference: Hershey, PA, pp. 1001-1006. ISBN 9781605660264 (doi: 10.4018/978-1-60566-026-4.ch160)
2007
Cano, J. , Cano, J. C., Calafate, C. T. and Manzoni, P. (2007) Solving the User-to-Host Binding Problem in ad hoc Networks through Photo-IDs. In: PE-WASUN '07 Proceedings of the 4th ACM Workshop on Performance Evaluation of Wireless ad hoc, Sensor, and Ubiquitous Networks, Chania, Greece, 22 Oct 2007, pp. 78-81. ISBN 9781595938084 (doi: 10.1145/1298197.1298212)
2006
Cano Reyes, J. , Burgoa, E., Calafate, C. T., Cano, J.-C. and Manzoni, P. (2006) A MANET Autoconfiguration System based on Bluetooth Technology. In: 2006 3rd International Symposium on Wireless Communication Systems, Valencia, Spain, 06-08 Sep 2006, ISBN 9781424403974 (doi: 10.1109/ISWCS.2006.4362386)
Cano, J. C., Cano, J. , Manzoni, P. and Kim, D. (2006) On the Design of Pervasive Computing Applications Based on Bluetooth and a P2P Concept. In: 2006 1st International Symposium on Wireless Pervasive Computing, Phuket, Thailand, 16-18 Jan 2006, ISBN 9780780394100 (doi: 10.1109/ISWPC.2006.1613599)
2005
Cano, J. , Cano, J. C., Manzoni, P. and Ferrandez, D. (2005) On the Design of Spontaneous Networks Using a P2P Approach and Bluetooth. In: 10th IEEE Symposium on Computers and Communications (ISCC'05), Murcia, Spain, 27-30 Jun 2005, ISBN 9780769523736 (doi: 10.1109/ISCC.2005.110)
Articles
Haris, J., Gibson, P., Cano, J. , Bohm Agostini, N. and Kaeli, D. (2023) SECDA-TFLite: a toolkit for efficient development of FPGA-based DNN accelerators for edge inference. Journal of Parallel and Distributed Computing, 173, pp. 140-151. (doi: 10.1016/j.jpdc.2022.11.005)
Dong, S., Sun, Y., Bohm Agostini, N., Karimi, E., Lowell, D., Zhou, J., Cano, J. , Abellán, J. L. and Kaeli, D. (2021) Spartan: a sparsity-adaptive framework to accelerate deep neural network training on GPUs. IEEE Transactions on Parallel and Distributed Systems, 32(10), pp. 2448-2463. (doi: 10.1109/TPDS.2021.3067825)
Turner, J., Crowley, E. J., Radu, V., Cano Reyes, J. , Storkey, A. and O'Boyle, M. (2019) Distilling with performance enhanced students. arXiv, (Unpublished)
Cano, J. , White, D. R., Bordallo, A., McCreesh, C. , Michala, A. L. , Singer, J. and Nagarajan, V. (2018) Solving the task variant allocation problem in distributed robotics. Autonomous Robots, 42(7), pp. 1477-1495. (doi: 10.1007/s10514-018-9742-5)
Cano, J. , Flich, J., Roca, A., Duato, J., Coppola, M. and Locatelli, R. (2014) Efficient routing in heterogeneous SoC designs with small implementation overhead. IEEE Transactions on Computers, 63(3), pp. 557-569. (doi: 10.1109/TC.2012.299)
Villanueva, M. J., T. Calafate, C., Torres, A., Cano, J. , Cano, J.-C. and Manzoni, P. (2013) Seamless MANET autoconfiguration through enhanced 802.11 beaconing. Mobile Information Systems, 9(1), pp. 19-35. (doi: 10.3233/MIS-2012-0145)
Cano, J. , Cano, J.-C., Toh, C.-K., Calafate, C. T. and Manzoni, P. (2010) EasyMANET: an extensible and configurable platform for service provisioning in MANET environments. IEEE Communications Magazine, 48(12), pp. 159-167. (doi: 10.1109/MCOM.2010.5673087)
Books
Cano Reyes, J. (2012) Bringing Mobile Ad Hoc Networks to the Masses: an Essay on Autoconfiguration and Service Discovery. LAP Lambert Academic Publishing. ISBN 9783848424320
Book Sections
Cano, J. , Cano, J.-C., Calafate, C. T. and Manzoni, P. (2010) Experiences in developing ubiquitous applications. In: Designing Solutions-Based Ubiquitous and Pervasive Computing: New Issues and Trends. Information Science Reference: Hershey, PA, pp. 97-112. ISBN 9781615208432 (doi: 10.4018/978-1-61520-843-2.ch005)
Cano, J.-C., Calafate, C. T., Cano, J. and Manzoni, P. (2009) Deploying pervasive technologies. In: Khosrow-Pour, M. (ed.) Encyclopedia of Information Science and Technology, Second Edition. Information Science Reference: Hershey, PA, pp. 1001-1006. ISBN 9781605660264 (doi: 10.4018/978-1-60566-026-4.ch160)
Edited Books
Cano, J. and Trinder, P. (Eds.) (2022) Euro-Par 2022: Parallel Processing. 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22–26, 2022, Proceedings. Series: Lecture notes in computing science. Springer: Cham.
Conference or Workshop Item
Hu, W., Gibson, P. and Cano, J. (2023) ICE-Pick: Iterative Cost-Efficient Pruning for DNNs. ICML 2023 Workshop on Neural Compression, Honolulu, Hawaii, USA, 28-29 July 2023.
Haris, J., Gibson, P., Cano, J. , Agostini, N. B. and Kaeli, D. (2022) Hardware/Software Co-Design of Edge DNN Accelerators with TFLite. 18th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, 10-16 July 2022.
Gibson, P. and Cano, J. (2022) Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection. 4th Workshop on Accelerated Machine Learning (AccML), co-located with the HiPEAC conference, Budapest, 22 June 2022.
Lofqvist, M. and Cano, J. (2021) Optimizing Data Processing in Space for Object Detection in Satellite Imagery. 35th Annual Small Satellite Conference, 07-12 Aug 2021.
Lofqvist, M. and Cano, J. (2020) Accelerating Deep Learning Applications in Space. 34th Annual Small Satellite Conference, Virtual Conference, 2020.
Gibson, P. , Cano, J. , Turner, J., Crowley, E. J., O’Boyle, M. and Storkey, A. (2020) Evaluating Grouped Spatial Pack Convolutions on Edge CPUs. 16th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Online, 06-17 Jul 2020.
Haris, J. and Cano, J. (2020) Hardware Acceleration of Deep Neural Networks on Edge Devices with FPGAs. 16th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Online, 06-17 Jul 2020.
Turner, J., Crowley, E. J., Radu, V., Cano, J. , Storkey, A. and O'Boyle, M. (2019) Staircase: Distilling with Performance Enhanced Students for Hardware. ARM Research Summit, Austin, USA, 15-18 Sep 2019.
Rovder, S., Cano, J. and O’Boyle, M. (2019) Optimising Convolutional Neural Networks Inference on Low-Powered GPUs. Twelfth International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2019), Valencia, Spain, 21 Jan 2019.
Cano, J. , Turner, J., Radu, V. and O'Boyle, M. (2018) Accelerating Deep Convolutional Neural Networks on Low Power Embedded Devices. ARM Research Summit, Cambridge, UK, 17-19 Sep 2018.
Loukadakis, M., Cano, J. and O’Boyle, M. (2018) Accelerating Deep Neural Networks on Low Power Heterogeneous Architectures. Eleventh International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2018), Manchester, UK, 24 Jan 2018.
Cano, J. , Kumar, R., Brankovic, A., Pavlou, D., Stavrou, K., Gibert, E., Martinez, A. and Gonzalez, A. (2017) HW/SW Co-designed Processors: Challenges, Design Choices and a Simulation Infrastructure for Evaluation. ARM Research Summit, Cambridge, UK, 11-13 Sep 2017.
Cano, J. et al. (2012) Modelling HW/SW Co-Designed Processors. 8th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, 08-14 Jul 2012.
Cano Reyes, J. , Flich, J., Duato, J., Coppola, M. and Locatelli, R. (2011) Mapping Irregular MPSoC Topologies onto 2D-meshes. 7th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, 10-16 Jul 2011.
Conference Proceedings
Louloudakis, N., Gibson, P. , Cano Reyes, J. and Rajan, A. (2023) DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models. In: 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2023), Bogota, Columbia, 1-6 Oct 2023, (Accepted for Publication)
Louloudakis, N., Gibson, P., Cano, J. and Rajan, A. (2023) Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition. In: 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), Kirchberg, Luxembourg, 11-15 September 2023, (Accepted for Publication)
Ayaz, F. , Zakariyya, I., Cano Reyes, J. , Keoh, S. L. , Singer, J. , Pau, D. and Mounia, K.-H. (2023) Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. In: International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Australia, 18-23 June 2023, (Accepted for Publication)
Gibson, P. and Cano, J. (2022) Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation. In: 31st International Conference on Parallel Architectures and Compilation Techniques (PACT2022), Chicago, USA, 10-12 October 2022, (Accepted for Publication)
Stjerngren, A., Gibson, P. and Cano, J. (2022) Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators. In: 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Singapore, 22-24 May 2022, pp. 288-299. ISBN 9781665459549 (doi: 10.1109/ISPASS55109.2022.00042)
Haris, J., Gibson, P. , Cano, J. , Bohm Agostini, N. and Kaeli, D. (2021) SECDA: Efficient Hardware/Software Co-design of FPGA-based DNN Accelerators for Edge Inference. In: 2021 IEEE 33rd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Belo Horizonte, Brazil, 26-28 Oct 2021, pp. 33-43. ISBN 9781665443012 (doi: 10.1109/SBAC-PAD53543.2021.00015)
Gibson, P. and Cano, J. (2020) Orpheus: a New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. In: 2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 23-26 Aug 2020, pp. 229-230. ISBN 9781728147987 (doi: 10.1109/ISPASS48437.2020.00042)
Bohm Agostini, N., Dong, S., Elmira, K., Marti, T. L., Cano, J. , Abellán, J. L. and Kaeli, D. (2020) Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. In: 2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Porto, Portugal, 9-11 Sept. 2020, pp. 10-19. ISBN 9781728199245 (doi: 10.1109/SBAC-PAD49847.2020.00013)
Gibson, P. , Cano, J. , Turner, J., Crowley, E. J., O’Boyle, M. and Storkey, A. (2020) Optimizing Grouped Convolutions on Edge Devices. In: 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP), Manchester, UK, 06-08 Jul 2020, pp. 189-196. ISBN 9781728171470 (doi: 10.1109/ASAP49362.2020.00039)
Cano, J. , Yang, Y., Bodin, B., Nagarajan, V. and O’Boyle, M. (2019) Automatic Parameter Tuning of Motion Planning Algorithms. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 01-05 Oct 2018, pp. 8103-8109. ISBN 9781538680940 (doi: 10.1109/IROS.2018.8594183)
Radu, V., Kaszyk, K., Wen, Y., Turner, J., Cano, J. , Crowley, E. J., Franke, B., Storkey, A. and O’Boyle, M. (2019) Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. In: 2019 IEEE International Symposium on Workload Characterization (IISWC), Orlando, FL, USA, 03-05 Nov 2019, pp. 24-34. ISBN 9781728140452 (doi: 10.1109/IISWC47752.2019.9042000)
Turner, J., Cano, J. , Radu, V., Crowley, E. J., O’Boyle, M. and Storkey, A. (2018) Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. In: 2018 IEEE International Symposium on Workload Characterization (IISWC), Raleigh, NC, USA, 30 Sep - 02 Oct 2018, pp. 101-110. ISBN 9781538667804 (doi: 10.1109/IISWC.2018.8573503)
Kumar, R., Cano, J. , Pavlou, D., Stavrou, K., Gibert, E., Martinez, A. and González, A. (2017) HW/SW Co-designed Processors: Challenges, Design Choices and a Simulation Infrastructure for Evaluation. In: 2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Santa Rosa, CA, USA, 24-25 Apr 2017, pp. 185-194. ISBN 9781538638903 (doi: 10.1109/ISPASS.2017.7975290)
Cano, J. , White, D. R., Bordallo, A., McCreesh, C., Prosser, P. , Singer, J. and Nagarajan, V. (2016) Task Variant Allocation in Distributed Robotics. In: Robotics Science and Systems 2016, Ann Arbor, MI, USA, 18-22 June 2016, ISBN 9780992374723 (doi: 10.15607/RSS.2016.XII.045)
Cano, J. , Bordallo, A., Nagarajan, V., Ramamoorthy, S. and Vijayakumar, S. (2016) Automatic Configuration of ROS Applications for Near-optimal Performance. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 09-14 Oct 2016, pp. 2217-2223. ISBN 9781509037629 (doi: 10.1109/IROS.2016.7759347)
Cano, J. , Kumar, R., Brankovic, A., Pavlou, D., Stavrou, K., Gibert, E., Martínez, A. and González, A. (2016) Quantitative Characterization of the Software Layer of a HW/SW Co-Designed Processor. In: 2016 IEEE International Symposium on Workload Characterization (IISWC), Providence, RI, USA, 25-27 Sep 2016, pp. 138-147. ISBN 9781509038961 (doi: 10.1109/IISWC.2016.7581274)
Cano, J. , Molinos, E., Nagarajan, V. and Vijayakumar, S. (2015) Dynamic Process Migration in Heterogeneous ROS-based Environments. In: 2015 International Conference on Advanced Robotics (ICAR), Istanbul, Turkey, 27-31 Jul 2015, ISBN 9781467375092 (doi: 10.1109/ICAR.2015.7251505)
Yu, Q., Cano, J. , Flich, J. and Ampadu, P. (2012) Transient and Permanent Error Control for High-End Multiprocessor Systems-on-Chip. In: 2012 IEEE/ACM Sixth International Symposium on Networks-on-Chip, Copenhagen, Denmark, 09-11 May 2012, pp. 169-176. ISBN 9781467309738 (doi: 10.1109/NOCS.2012.27)
Cano, J. , Flich, J., Duato, J., Coppola, M. and Locatelli, R. (2011) Efficient Routing Implementation in Complex Systems-on-Chip Designs. In: NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip, Pittsburgh, PA, USA, 01-04 May 2011, pp. 1-8. ISBN 9781450307208 (doi: 10.1145/1999946.1999948)
Dubois, F., Cano, J. , Marcello, C., Flich, J. and Pétrot, F. (2011) Spidergon STNoC Design Flow. In: NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip, Pittsburgh, PA, USA, 01-04 May 2011, pp. 267-268. ISBN 9781450307208 (doi: 10.1145/1999946.1999994)
Cano, J. , Cano, J. C., Calafate, C. T. and Manzoni, P. (2007) Solving the User-to-Host Binding Problem in ad hoc Networks through Photo-IDs. In: PE-WASUN '07 Proceedings of the 4th ACM Workshop on Performance Evaluation of Wireless ad hoc, Sensor, and Ubiquitous Networks, Chania, Greece, 22 Oct 2007, pp. 78-81. ISBN 9781595938084 (doi: 10.1145/1298197.1298212)
Cano Reyes, J. , Burgoa, E., Calafate, C. T., Cano, J.-C. and Manzoni, P. (2006) A MANET Autoconfiguration System based on Bluetooth Technology. In: 2006 3rd International Symposium on Wireless Communication Systems, Valencia, Spain, 06-08 Sep 2006, ISBN 9781424403974 (doi: 10.1109/ISWCS.2006.4362386)
Cano, J. C., Cano, J. , Manzoni, P. and Kim, D. (2006) On the Design of Pervasive Computing Applications Based on Bluetooth and a P2P Concept. In: 2006 1st International Symposium on Wireless Pervasive Computing, Phuket, Thailand, 16-18 Jan 2006, ISBN 9780780394100 (doi: 10.1109/ISWPC.2006.1613599)
Cano, J. , Cano, J. C., Manzoni, P. and Ferrandez, D. (2005) On the Design of Spontaneous Networks Using a P2P Approach and Bluetooth. In: 10th IEEE Symposium on Computers and Communications (ISCC'05), Murcia, Spain, 27-30 Jun 2005, ISBN 9780769523736 (doi: 10.1109/ISCC.2005.110)
Patents
STMicroelectronics (Grenoble 2) SAS (2014) Switches and a network of switches. .
Supervision
- Feng, Kai
Early detection of zero-day exploits in Industrial Control Systems. - Gibson, Perry
Compiler-centric Across-stack Deep Learning Acceleration - Haris, Jude
Designing Efficient Hardware Accelerators for Deep Neural Networks - Hu, Wenhao
A New Point of View of Channel Pruning for Deep Neural Networks - SAHA, RAPPY
Framework to optimize DNN model inference on FPGA
Teaching
- 2022/2023, 2021/2022, 2020/2021, 2019/2020:
- 2018/2019:
Professional activities & recognition
Professional & learned societies
- 2021: Senior Member, IEEE
- 2021: Senior Member, ACM
- 2021: Member, HiPEAC