José Cano Reyes

I am a Lecturer (Assistant Professor) in the School of Computing Science at the University of Glasgow, where I am a member of the GLAsgow Systems Section (GLASS) and the Glasgow Parallelism Group (GPG). I'm also a visiting member of ICSA in the School of Informatics at The University of Edinburgh.

Previously, I was a Postdoctoral Research Associate (January 2014 - August 2018) with the CArD Group at the Institute for Computing Systems Architecture (ICSA) 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 Achitecture 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 always looking for prospective PhD students with good programming skills (C++, Python) and background/interest in one or more of the following areas: Computer Architecture, Compilers, Edge Computing and Deep Learning. If you are interested, please send me an email including your CV. Information about the application process is here.

Contact Information

University of Glasgow
School of Computing Science
Sir Alwyn Williams Building, Room 321a
18 Lilybank Gardens
G12 8RZ, Glasgow
Scotland, United Kingdom
Tel: +44 (0) 141 330 1640
E-mail: Jose.CanoReyes@glasgow.ac.uk

Research

I lead the Intelligent Computing Lab in the School of Computing Science at the University of Glasgow.

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" AppControl research project.

My research interests are in the broad areas of: Computer Architecture, Computer Systems, Compilers, Interconnection Networks, 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.
  
• Digital Security by Design for Mission-Critical Systems-on-Chip.
  
• Resilience of Artificial Intelligence and Machine Learning models on IoT-scale devices.
  

Teaching

Lecturer

• Spring 2020 - 2022 Computer Systems (Year 1), School of Computing Science, University of Glasgow.
  
• Autumn 2019 - 2021 Computer Architecture (Year 4), School of Computing Science, University of Glasgow.
  
• Spring 2019 Operating Systems (Year 3), School of Computing Science, University of Glasgow.
  
• Spring 2019 Further Programming (Year 1), School of Computing Science, University of Glasgow.
  

Guest Lecturer

• Autumn 2017 Compiling Techniques (Year 3), School of Informatics, University of Edinburgh.
  

Assistant/Tutor

• Spring 2018 Internet of Things: Systems, Security and the Cloud (Year 4), School of Informatics, University of Edinburgh.
  
• Autumn 2014 - 2017 Introduction to Computer Systems (Year 2), School of Informatics, University of Edinburgh.
  
• Spring 2015, 2017 Computer Architecture (Year 3), School of Informatics, University of Edinburgh.
  

Publications

Journal articles

• Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. [Paper]
  S. Dong, Y. Sun, N. Bohm Agostini, E. Karimi, D. Lowell, J. Zhou, J. Cano, J. L. Abellán, D. Kaeli.
  IEEE Transactions on Parallel and Distributed Systems (TPDS), October 2021.

• Solving the Task Variant Allocation Problem in Distributed Robotics. [Paper]
  J. Cano, D. R. White, A. Bordallo, C. McCreesh, A. L. Michala, J. Singer, V. Nagarajan.
  Springer Autonomous Robots (AURO), April 2018.

• Efficient Routing in Heterogeneous SoC Designs with Small Implementation Overhead. [Paper]
  J. Cano, J. Flich, A. Roca, J. Duato, M. Coppola, R. Locatelli.
  IEEE Transactions on Computers (TC), March 2014.

• Seamless MANET autoconfiguration through enhanced 802.11 beaconing.
  M.-J. Villanueva, C. T. Calafate, A. Torres, J. Cano, J.-C. Cano, P. Manzoni.
  Mobile Information Systems Journal (MIS), Volume 9, Issue 1, January 2013.

• EasyMANET: An Extensible and Configurable Platform for Service Provisioning in MANET Environments.
  J. Cano, J.-C. Cano, C.-K. Toh, C. T. Calafate, P. Manzoni.
  IEEE Communications Magazine (CM), December 2010.

Conference papers

• Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators. [Paper] [Code]
  A. Stjerngren, P. Gibson, J. Cano.
  IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Singapore, May 2022.

• SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. [Paper] [Code]
  J. Haris, P. Gibson, J. Cano, N. Bohm Agostini, D. Kaeli.
  33rd IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Belo Horizonte, Brazil, October 2021.

• Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. [Paper]
  N. Bohm Agostini, S. Dong, E. Karimi, M. Torrents, J. Cano, J. L. Abellán, D. Kaeli.
  32nd IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Porto, Portugal, September 2020.

• Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. [Paper]
  P. Gibson, J. Cano.
  IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Virtual Meeting, August 2020.

• Optimizing Grouped Convolutions on Edge Devices. [Paper] [Code]
  P. Gibson, J. Cano, J. Turner, E. J. Crowley, M. O'Boyle, A. Storkey.
  31st IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), Manchester, UK, July 2020.

• Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. [Paper]
  V. Radu, K. Kaszyk, Y. Wen, J. Turner, J. Cano, E. J. Crowley, B. Franke, A. Storkey, M. O'Boyle.
  IEEE International Symposium on Workload Characterization (IISWC), Orlando, Florida, USA, November 2019.

• Automatic Parameter Tuning of Motion Planning Algorithms. [Paper]
  J. Cano, Y. Yang, B. Bodin, V. Nagarajan, M. O'Boyle.
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October 2018.

• Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. [Paper]
  J. Turner, J. Cano, V. Radu, E. J. Crowley, M. O'Boyle, A. Storkey.
  IEEE International Symposium on Workload Characterization (IISWC), Raleigh, North Carolina, USA, September 2018.

• HW/SW Co-designed Processors: Challenges, Design Choices and a Simulation Infrastructure for Evaluation. [Paper]
  R. Kumar, J. Cano, A. Brankovic, D. Pavlou, K. Stavrou, E. Gibert, A. Martínez, A. González.
  IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Santa Rosa, California, USA, April 2017.

• Automatic configuration of ROS applications for near-optimal performance. [Paper] [Poster]
  J. Cano, A. Bordallo, V. Nagarajan, S. Ramamoorthy, S. Vijayakumar.
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Deajeon, Korea, October 2016.

• Quantitative Characterization of the Software Layer of a HW/SW Co-Designed Processor. [Paper]
  J. Cano, R. Kumar, A. Brankovic, D. Pavlou, K. Stavrou, E. Gibert, A. Martínez, A. González.
  IEEE International Symposium on Workload Characterization (IISWC), Providence, Rhode Island, USA, September 2016.

• Task Variant Allocation in Distributed Robotics. [Paper] [Poster] [Code]
  J. Cano, D. White, A. Bordallo, C. McCreesh, P. Prosser, J. Singer, V. Nagarajan.
  Robotics: Science and Systems Conference (RSS), Ann Arbor, USA, June 2016.

• Dynamic process migration in heterogeneous ROS-based environments. [Paper] [Video]
  J. Cano, E. Molinos, V. Nagarajan, S. Vijayakumar.
  17th IEEE International Conference on Advanced Robotics (ICAR), Istanbul, Turkey, July 2015.

• Transient and Permanent Error Control for High End Multiprocessor Systems-on-Chip. [Paper]
  Q. Yu, J. Cano, J. Flich, P. Ampadu.
  6th ACM/IEEE International Symposium on Networks-on-Chip (NOCS), Lyngby, Denmark, May 2012.

• Efficient Routing Implementation in Complex Systems-on-Chip Designs. [Paper]
  J. Cano, J. Flich, J. Duato, M. Coppola, R. Locatelli.
  5th ACM/IEEE International Symposium on Networks-on-Chip (NOCS), Pittsburgh, USA, May 2011.

• Spidergon STNoC Design Flow.
  F. Dubois, J. Cano, M. Coppola, J. Flich, F. Petrot.
  5th ACM/IEEE International Symposium on Networks-on-Chip (NOCS), Pittsburgh, USA, May 2011.

• A MANET autoconfiguration system based on Bluetooth technology.
  J. Cano, E. Burgoa, C. T. Calafate, J.-C. Cano, P. Manzoni.
  3rd IEEE International Symposium on Wireless Communication Systems (ISWCS), Valencia, Spain, September 2006.

• On the design of pervasive computing applications based on Bluetooth and a P2P concept.
  J.-C. Cano, J. Cano, P. Manzoni, D. Kim.
  1st IEEE International Symposium on Wireless Pervasive Computing (ISWPC), Phuket, Thailand, January 2006.

• On the Design of Spontaneous Networks Using a P2P Approach and Bluetooth.
  J. Cano, J.-C. Cano, P. Manzoni, D. Ferrández.
  10th IEEE Symposium on Computers and Communications (ISCC), Cartagena, Spain, June 2005.

Workshop papers

• Optimizing Data Processing in Space for Object Detection in Satellite Imagery. [Paper]
  M. Lofqvist, J. Cano
  Workshop at 35th Annual Small Satellite Conference (SmallSat), Virtual Event, August 2021.

• Accelerating Deep Learning Applications in Space. [Paper]
  M. Lofqvist, J. Cano
  Workshop at 34th Annual Small Satellite Conference (SmallSat), Virtual Event, August 2020.

• Optimising Convolutional Neural Networks Inference on Low-Powered GPUs. [Paper]
  S. Rovder, J. Cano, M. O'Boyle.
  12th International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG) co-located with HiPEAC, Valencia, Spain, January 2019.

• Accelerating Deep Neural Networks on Low Power Heterogeneous Architectures. [Paper]
  M. Loukadakis, J. Cano, M. O'Boyle.
  11th International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG) co-located with HiPEAC, Manchester, United Kingdom, January 2018.

• Solving the User-to-Host Binding Problem in Ad Hoc Networks Through Photo-IDs. [Paper]
  J. Cano, J.-C. Cano, C. T. Calafate, P. Manzoni.
  4th ACM International Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN) co-located with MSWiM, Chania, Greece, October 2007.

Books and Book chapters

• Bringing Mobile Ad Hoc Networks to the Masses. An essay on autoconfiguration and service discovery.
  J. Cano.
  Lambert Academic Publishing, March 2012.

• Experiences in Developing Ubiquitous Applications.
  J. Cano, J.-C. Cano, C. T. Calafate, P. Manzoni.
  Designing Solutions-Based Ubiquitous and Pervasive Computing: New Issues and Trends, April 2010.

• Deploying Pervasive Technologies.
  J.-C. Cano, C. T. Calafate, J. Cano, P. Manzoni.
  Encyclopedia of Information Science and Technology, Second edition, October 2008.

arXiv

• Reusing Auto-Schedules for Efficient DNN Compilation. [Paper]
  P. Gibson, J. Cano
  arXiv preprint, January 2022.

• Distilling with Performance Enhanced Students. [Paper]
  J. Turner, E. J. Crowley, V. Radu, J. Cano, M. O'Boyle, A. Storkey.
  arXiv preprint, March 2019.

Other publications

• Hardware Acceleration of Deep Neural Networks on Edge Devices with FPGAs. [Paper]
  J. Haris, J. Cano.
  16th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Online Event, July 2020.

• Evaluating Grouped Spatial Pack Convolutions on Edge CPUs. [Paper]
  P. Gibson, J. Cano.
  16th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Online Event, July 2020.

• Staircase: Distilling with Performance Enhanced Students for Hardware. [Poster]
  J. Turner, E. J. Crowley, V. Radu, J. Cano, A. Storkey M. O'Boyle.
  ARM Research Summit, Austin, USA, September 2019.

• Accelerating Deep Convolutional Neural Networks on Low Power Embedded Devices. [Poster]
  J. Cano, J. Turner, V. Radu, M. O'Boyle.
  ARM Research Summit, Cambridge, UK, September 2018.

• HW/SW Co-designed Processors: Challenges, Design Choices and a Simulation Infrastructure for Evaluation. [Poster]
  J. Cano, R. Kumar, A. Brankovic, D. Pavlou, K. Stavrou, E. Gibert, A. Martínez, A. González.
  ARM Research Summit, Cambridge, UK, September 2017.

• Modelling HW/SW Co-Designed Processors. [Paper] [Poster]
  J. Cano, A. Brankovic, R. Kumar, D. Zivanovic, D. Pavlou, K. Stavrou, E. Gibert, A. Martínez, G. Dot, F. Latorre, A. Barceló, A. González.
  8th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, July 2012.

• Mapping Irregular MPSoC Topologies onto 2D-meshes. [Paper] [Poster]
  J. Cano, J. Flich, J. Duato, M. Coppola, R. Locatelli.
  7th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, July 2011.

• Tableless Distributed Routing in Heterogeneous MPSoC Systems.
  J. Cano, J. Flich, J. Duato, M. Coppola, R. Locatelli.
  XXII Parallelism Symposium, La Laguna, Spain, Sept 2011.

• Visual DNS: A pervasive application offering peer collaboration in Mobile Ad-hoc Networks.
  J. Cano, J.-C. Cano, C. T. Calafate, P. Manzoni.
  XVIII Parallelism Symposium, Zaragoza, Spain, Sept 2007.

• An autoconfiguration method for IEEE 802.11 based MANETs using Bluetooth.
  J. Cano, E. Burgoa, C. T. Calafate, J.-C. Cano, P. Manzoni.
  XVII Parallelism Symposium, Albacete, Spain, Sept 2006.

• A peer-level multi-hop based architecture to support spontaneous networks formation.
  J. Cano, J.-C. Cano, P. Manzoni, D. Fernández.
  1st Symposium on Ubiquitous Computing and Ambient Intelligence (UCAmI), Granada, Spain, September 2005.

Supervision

Postdocs

• Ferheen Ayaz, University of Glasgow, 11/2021 - Present
  Project: MAISE (Multimodal AI-based Security at the Edge)

PhD Students

• Rappy Saha, University of Glasgow, Starting 10/2022
  Topic: "Optimizing Deep Neural Networks Inference on FPGAs"

• Wenhao Hu, University of Glasgow, 10/2021 - Present
  Topic: "Exploring Novel Pruning Techniques for Deep Neural Networks"

• Nick Louloudakis , University of Edinburgh, co-advised with Ajitha Rajan, 06/2021 - Present
  Topic: "Testing Perception AI on Hardware Accelerators"

• Jude Haris , University of Glasgow, 10/2020 - Present
  Topic: "Designing and Generating Efficient FPGA-Based Accelerators for Deep Neural Networks"

• Isak Bosman , University of Glasgow, 09/2020 - Present
  Topic: "Optimizing Natural Language Processing on Edge Devices"

• Perry Gibson , University of Glasgow, 10/2019 - Present
  Topic: "Modular development of across-stack deep learning inference accelerators on heterogeneous devices"

Undergraduate Students

• Ashutosh Samal , University of Glasgow, 10/2021 - Present
  Topic: "Design and evaluation of Networks-on-Chip for DNN accelerators"

• Christos Stylianou , University of Glasgow, 10/2021 - Present
  Topic: "Continuous optimisation and deployment of DNN models on IoT devices"

• Veronika Shabun , University of Glasgow, 10/2021 - Present
  Topic: "Optimising DNN Models for Space Aplications"

• Peter Dodd , University of Glasgow, 10/2021 - Present
  Topic: "Non-iterative Training of Deep Neural Networks"

Alumni

• Axel Stjerngren (UG), University of Glasgow, 2021
  Thesis: "Bifrost: End to End Evaluation and Optimisation Of Neural Network Accelerators"

• Denica Nedjalkova (UG), University of Glasgow, 2021
  Thesis: "Evaluating a New Method for Non-iterative Training of Deep Neural Networks"

• Muhammad Shahid (UG), University of Glasgow, 2021
  Thesis: "Improving Exoplanet Detection for TESS with Transfer Learning"

• Nicholas Sperry (UG), University of Glasgow, 2021
  Thesis: "A Software Retina-Based Smart Camera"

• Jude Haris (MSc), University of Glasgow, 2020
  Thesis: "Hardware Acceleration of Deep Neural Networks on Heterogeneous Architectures with FPGAs"

• Kasparas Baniulis (UG), University of Glasgow, 2020
  Thesis: "Neural Network Model Optimisation Based on Time Budget"

• Martina Lofqvist (UG), University of Glasgow, 2020
  Thesis: "Deep Learning Applications in Space"

• Ruoye Wang (UG), University of Glasgow, co-advised, 2020
  Thesis: "Implementation of Cache Coherence Protocols in the gem5 Simulator"

• Perry Gibson (MSc), University of Edinburgh, 2019
  Thesis: "Deep Learning on Low Power GPUs"

• Andrej Ivanis (MSc), University of Edinburgh, 2018
  Thesis: "Optimising Convolutional Neural Networks on heterogeneous embedded devices"

• Sanjay Rakshit (MSc), University of Edinburgh, 2018
  Thesis: "Parallelism in Embedded Heterogeneous Systems for Deep Neural Network Workloads"

• Simon Rovder (MSc), University of Edinburgh, co-advised, 2018
  Thesis: "Optimising Neural Network Inference on Low-Powered GPUs"

• Manolis Loukadakis (MSc), University of Edinburgh, co-advised, 2017
  Thesis: "Deep Learning on Low Power GPUs"

Service

Organising Committee

• 4th Workshop on Distributed and Heterogeneous Programming in C++ (DHPCC++), co-located with Euro-Par, 2022
  
• 28th International European Conference on Parallel and Distributed Computing (Euro-Par), 2022
  
• 4rd Workshop on Accelerated Machine Learning (AccML), co-located with HiPEAC, 2022
  
• 3rd Workshop on Accelerated Machine Learning (AccML), co-located with HiPEAC, 2021
  
• 2nd Workshop on Accelerated Machine Learning (AccML), co-located with ISCA, 2020
  
• 1st Workshop on Accelerated Machine Learning (AccML), co-located with HiPEAC, 2020
  
• Workshop on Emerging Deep Learning Accelerators (EDLA), co-located with HiPEAC, 2019
  
• ACM International Conference on Computing Frontiers (CF), 2018
  
• 1st Workshop on Novel Exascale Systems / Rack-Scale Memory Systems and Models (NovExS-RAMbO), co-located with HiPEAC, 2017
  

Technical Program Committee

• 29th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2023
  
• 40th IEEE International Conference on Computer Design (ICCD), 2022
  
• 16th IEEE/ACM International Symposium on Networks-on-Chip (NOCS), 2022
  
• 31st International Conference on Parallel Architectures and Compilation Techniques (PACT), 2022
  
• 33rd IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2022
  
• 2st Workshop on Machine Learning and Systems (EuroMLSys), co-located with EuroSys, 2022
  
• 25th Design, Automation and Test in Europe Conference (DATE) - Topic E4, 2022
  
• 2nd Workshop on Distributed Machine Learning (DistributedML), co-located with CoNEXT, 2021
  
• 14th International Workshop on Network on Chip Architectures (NoCArc), co-located with MICRO-53, 2021
  
• 15th IEEE/ACM International Symposium on Networks-on-Chip (NOCS), 2021
  
• 30th International Conference on Parallel Architectures and Compilation Techniques (PACT), 2021
  
• 1st Workshop on Machine Learning and Systems (EuroMLSys), co-located with EuroSys, 2021
  
• IEEE Consumer Communications and Networking Conference (CCNC 2021), 2021
  
• 1st Workshop on Distributed Machine Learning (DistributedML), co-located with CoNEXT, 2020
  
• 13th International Workshop on Network on Chip Architectures (NoCArc), co-located with MICRO-53, 2020
  
• 11th IEEE International Workshop in Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), co-located with SC, 2020
  
• IEEE International Symposium on Workload Characterization (IISWC), 2020
  
• 32nd IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2020
  
• 12th International Workshop on Network on Chip Architectures (NoCArc), co-located with MICRO-52, 2019
  
• 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), 2019
  
• 14th IEEE International Conference on Networking, Architecture, and Storage (NAS), 2019
  
• 48th International Conference on Parallel Processing (ICPP), 2019
  
• International Workshop on Modeling and Simulation of Parallel and Distributed Systems (MSPDS), co-located with HPCS, 2019
  
• 4th IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB), co-located with HPCA, 2019
  
• 11th International Workshop on Network on Chip Architectures (NoCArc), co-located with MICRO-51, 2018
  
• 13th IEEE International Conference on Networking, Architecture, and Storage (NAS), 2018
  
• 11th IEEE International Conference on Internet of Things (iThings), 2018
  
• 1st International Workshop on Next Generation Clouds (NextGenClouds), co-located with ICPP, 2018
  
• 7th International Workshop on Heterogeneous and Unconventional Cluster Architectures and Applications (HUCAA), co-located with ICPP, 2018
  
• 47th International Conference on Parallel Processing (ICPP), 2018
  
• 20th IEEE International Conference on High Performance Computing and Communications (HPCC), 2018
  
• 16th IEEE International Conference on Pervasive Intelligence and Computing (PICom), 2018
  
• ACM International Conference on Computing Frontiers (CF), 2018
  
• 2nd Workshop on Pioneering Processor Paradigms (WP3), co-located with HPCA, 2018
  
• 4th IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB), co-located with HPCA, 2018
  
• 8th IEEE International Workshop in Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), co-located with SC, 2017
  
• 10th International Workshop on Network on Chip Architectures (NoCArc), co-located with MICRO-50, 2017
  
• 15th IEEE International Conference on Pervasive Intelligence and Computing (PICom), 2017
  
• 12th IEEE International Conference on Networking, Architecture, and Storage (NAS), 2017
  
• 6th International Workshop on Heterogeneous and Unconventional Cluster Architectures and Applications (HUCAA), co-located with ICPP, 2017
  
• International Workshop on Modeling and Simulation of Parallel and Distributed Systems (MSPDS), co-located with HPCS, 2017
  
• 10th IEEE International Conference on Internet of Things (iThings), 2017
  
• ACM International Conference on Computing Frontiers (CF), 2017
  
• 3rd IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB), co-located with HPCA, 2017
  
• International Workshop on Code OptimiSation for Multi and Many Cores (COSMIC), co-located with CGO, 2017
  
• 1st Workshop on Pioneering Processor Paradigms (WP3), co-located with HPCA, 2017
  
• 7th IEEE International Workshop in Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), co-located with SC, 2016
  
• 9th International Workshop on Network on Chip Architectures (NoCArc), co-located with MICRO-49, 2016
  
• 5th International Workshop on Heterogeneous and Unconventional Cluster Architectures and Applications (HUCAA), co-located with ICPP, 2016
  
• 14th IEEE International Conference on Pervasive Intelligence and Computing (PICom), 2016
  
• International Workshop on Modeling and Simulation of Parallel and Distributed Systems (MSPDS), co-located with HPCS, 2016
  
• 4th ACM International Workshop on Many-core Embedded Systems (MES), co-located with ISCA, 2016
  
• 2nd IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB), co-located with HPCA, 2016
  
• 13th IEEE International Conference on Pervasive Intelligence and Computing (PICom), 2015
  

External Reviewer

• Design Automation Conference (DAC), 2020
  

Editor for Journals

• MDPI Sustainability - Special Issue "Energy-Efficient Computing Systems for Deep Learning", 2020
  

Reviewer for Journals

• ACM Computing Surveys (CSUR), 2019
  
• ACM Journal on Emerging Technologies in Computing Systems (JETC), 2017, 2018
  
• ACM Transactions on Architecture and Code Optimization (TACO), 2017 - Present (board of Distinguished Reviewers)
  
• Elsevier Future Generation Computer Systems (FGCS), 2017
  
• Elsevier Journal of Parallel and Distributed Computing (JPDC), 2016 - Present
  
• Elsevier Journal of Systems Architecture (JSA), 2015, 2017, 2020
  
• Elsevier Nano Communication Networks (NANOCOMNET), 2020
  
• Elsevier Neural Networks (NEUNET), 2021
  
• Elsevier Parallel Computing (PARCO), 2020
  
• Hindawi Journal of Electrical and Computer Engineering (JECE), 2014
  
• IEEE Computer Architecture Letters (CAL), 2018 - Present
  
• IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2020
  
• IEEE Pervasive Computing (Pervasive Comput), 2020
  
• IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020
  
• IEEE Transactions on Parallel and Distributed Systems (TPDS), 2012, 2017 - Present (review board member 02/2020-10/2021)
  
• Oxford Computer Journal (COMJNL), 2016
  
• Springer Journal of Supercomputing (SUPE), 2016 - Present
  
• Wiley Journal of Concurrency and Computation: Practice and Experience (CCPE), 2016 - 2018
  

Last update: May 2022