James Garland

@tcd.ie

PhD Candidate at the School of Computer Science and Statistics
Trinity College Dublin

James Garland


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https://researchid.co/jpgarland
An Irish Brummie with the lilt but not the brogue of the Irish

EDUCATION

MSc System Design (Microelectronics)

RESEARCH INTERESTS

Microarchitectural optimisations of machine learning algorithms in hardware, FPGA and ASIC.
185

Scholar Citations

5

Scholar h-index

5

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Implementation of knowledge distillation for onboard defect detection on an unmanned aircraft system for light aircraft general visual inspections
    L Connolly, J Garland, D O’Gorman, EF Tobin
    Machine Learning with Applications, 100782 , 2025
    2025
  • Super-Resolution GANs for Enhancing License Plate Detection from Distorted Inputs
    JG Yuzheng Mei, Rami J. Haddad
    IEEE SoutheastCon 2025, 1103-1110 , 2025
    2025
  • Zero-shot Learning for Subdiscrimination in Pre-trained Models.
    Dominguez-Mateos F, O Brien V, G J, F R, Palacios-Alonso D
    Journal of Universal Computer Science 31 (1), 93-110 , 2025
    2025
  • Deep-learning-based defect detection for light aircraft with unmanned aircraft systems
    L Connolly, J Garland, D O’Gorman, EF Tobin
    IEEE Access 12, 83876-83886 , 2024
    2024
    Citations: 17
  • Image Classification for Defect Detection of Light Aircraft
    L Connolly, J Garland, D O'Gorman, E Tobin
    2024
    Citations: 1
  • Spatial Mapping of light aircraft with stereo-vision camera for use on Unmanned Aircraft System for defect localisation
    L Connolly, D O’Gorman, J Garland, EF Tobin
    2023 International Conference on Unmanned Aircraft Systems (ICUAS), 413-418 , 2023
    2023
  • Feature Representation in Pretrained Deep Metric Embeddings
    R Furlong, V O'Brien, J Garland, DP Alonso, FD Mateos
    2023
  • Laser beam propagation features via atmospheric turbulence-induced beam wander: Testbed conceptual design
    HM Al Juboori, J Garland
    COAT-2023-workshop (Communications and Observations through Atmospheric … , 2023
    2023
    Citations: 4
  • Laser Beam Propagation Features via Atmospheric Turbulence-Induced Beam Wander: Testbed Conceptual Design
    JG Haider M Al Juboori
    COAT-2023-workshop (Communications and Observations through Atmospheric … , 2023
    2023
  • HOBFLOPS for CNNs: Hardware Optimized Bitslice Parallel Floating-Point Operations for Convolutional Neural Networks
    J Garland, D Gregg
    Research Square , 2021
    2021
    Citations: 3
  • Low-precision Logarithmic Number Systems: Beyond Base-2
    DG Syed Asad Alam, James Garland
    ACM Transactions on Architecture and Code Optimization 18 (4), 1-25 , 2021
    2021
    Citations: 21
  • Feature Representation in Deep Metric Embeddings
    R Furlong, V O'Brien, J Garland, D Palacios-Alonso, F Dominguez-Mateos
    arXiv preprint arXiv:2102.03176 , 2021
    2021
    Citations: 1
  • Metric Embedding Sub-discrimination Study.
    R Furlong, V O'Brien, J Garland, F Domínguez-Mateos
    arXiv preprint arXiv:2102.03176 , 2021
    2021
  • Arbitrary Precision and Low Complexity Micro-Architectural Arithmetic Optimisations of Machine Learning Algorithms for Compute Bound and High-Performance Systems
    JP Garland
    Trinity College Dublin , 2021
    2021
  • 6 Hardware and software performance in deep learning
    A Anderson, J Garland, Y Wen, B Barabasz, K Persand, A Vasudevan, ...
    Many-Core Computing: Hardware and Software, 141-165 , 2019
    2019
    Citations: 3
  • Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing
    J Garland, D Gregg
    ACM Transactions on Architecture and Code Optimization (TACO) 15 (3), 31:1-31:24 , 2018
    2018
    Citations: 54
  • Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks
    J Garland, D Gregg
    ACACES 2017 Poster Abstracts, 53-56 , 2017
    2017
  • Low complexity multiply accumulate unit for weight-sharing convolutional neural networks
    J Garland, D Gregg
    IEEE Computer Architecture Letters 16 (2), 132-135 , 2017
    2017
    Citations: 52
  • A delay and disruption tolerant transport layer protocol
    S Farrell
    Trinity College Dublin, Ireland , 2008
    2008
    Citations: 4
  • Are you looking at me?
    E Meehan
    2006

MOST CITED SCHOLAR PUBLICATIONS

  • Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing
    J Garland, D Gregg
    ACM Transactions on Architecture and Code Optimization (TACO) 15 (3), 31:1-31:24 , 2018
    2018
    Citations: 54
  • Low complexity multiply accumulate unit for weight-sharing convolutional neural networks
    J Garland, D Gregg
    IEEE Computer Architecture Letters 16 (2), 132-135 , 2017
    2017
    Citations: 52
  • Ltp-t: A generic delay tolerant transport protocol
    S Farrell, V Cahill
    Trinity College, Dublin, Ireland, Tech. Rep , 2005
    2005
    Citations: 25
  • Low-precision Logarithmic Number Systems: Beyond Base-2
    DG Syed Asad Alam, James Garland
    ACM Transactions on Architecture and Code Optimization 18 (4), 1-25 , 2021
    2021
    Citations: 21
  • Deep-learning-based defect detection for light aircraft with unmanned aircraft systems
    L Connolly, J Garland, D O’Gorman, EF Tobin
    IEEE Access 12, 83876-83886 , 2024
    2024
    Citations: 17
  • Laser beam propagation features via atmospheric turbulence-induced beam wander: Testbed conceptual design
    HM Al Juboori, J Garland
    COAT-2023-workshop (Communications and Observations through Atmospheric … , 2023
    2023
    Citations: 4
  • A delay and disruption tolerant transport layer protocol
    S Farrell
    Trinity College Dublin, Ireland , 2008
    2008
    Citations: 4
  • HOBFLOPS for CNNs: Hardware Optimized Bitslice Parallel Floating-Point Operations for Convolutional Neural Networks
    J Garland, D Gregg
    Research Square , 2021
    2021
    Citations: 3
  • 6 Hardware and software performance in deep learning
    A Anderson, J Garland, Y Wen, B Barabasz, K Persand, A Vasudevan, ...
    Many-Core Computing: Hardware and Software, 141-165 , 2019
    2019
    Citations: 3
  • Image Classification for Defect Detection of Light Aircraft
    L Connolly, J Garland, D O'Gorman, E Tobin
    2024
    Citations: 1
  • Feature Representation in Deep Metric Embeddings
    R Furlong, V O'Brien, J Garland, D Palacios-Alonso, F Dominguez-Mateos
    arXiv preprint arXiv:2102.03176 , 2021
    2021
    Citations: 1
  • Implementation of knowledge distillation for onboard defect detection on an unmanned aircraft system for light aircraft general visual inspections
    L Connolly, J Garland, D O’Gorman, EF Tobin
    Machine Learning with Applications, 100782 , 2025
    2025
  • Super-Resolution GANs for Enhancing License Plate Detection from Distorted Inputs
    JG Yuzheng Mei, Rami J. Haddad
    IEEE SoutheastCon 2025, 1103-1110 , 2025
    2025
  • Zero-shot Learning for Subdiscrimination in Pre-trained Models.
    Dominguez-Mateos F, O Brien V, G J, F R, Palacios-Alonso D
    Journal of Universal Computer Science 31 (1), 93-110 , 2025
    2025
  • Spatial Mapping of light aircraft with stereo-vision camera for use on Unmanned Aircraft System for defect localisation
    L Connolly, D O’Gorman, J Garland, EF Tobin
    2023 International Conference on Unmanned Aircraft Systems (ICUAS), 413-418 , 2023
    2023
  • Feature Representation in Pretrained Deep Metric Embeddings
    R Furlong, V O'Brien, J Garland, DP Alonso, FD Mateos
    2023
  • Laser Beam Propagation Features via Atmospheric Turbulence-Induced Beam Wander: Testbed Conceptual Design
    JG Haider M Al Juboori
    COAT-2023-workshop (Communications and Observations through Atmospheric … , 2023
    2023
  • Metric Embedding Sub-discrimination Study.
    R Furlong, V O'Brien, J Garland, F Domínguez-Mateos
    arXiv preprint arXiv:2102.03176 , 2021
    2021
  • Arbitrary Precision and Low Complexity Micro-Architectural Arithmetic Optimisations of Machine Learning Algorithms for Compute Bound and High-Performance Systems
    JP Garland
    Trinity College Dublin , 2021
    2021
  • Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks
    J Garland, D Gregg
    ACACES 2017 Poster Abstracts, 53-56 , 2017
    2017

GRANT DETAILS

Data-centric ultra-low power embedded computing
Science Foundation Ireland (Dublin)2013-04-01 to 2017-03-31
GRANT_NUMBER: 12/IA/1381