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    gicLAB presents Transfer-Tuning in AccML@HiPEAC

    Posted on January 21, 2023

    Our student Perry Gibson gave a short invited talk on Transfer-Tuning at the Accelerated Machine Learning (AccML) workshop, in HiPEAC 2023, Tolousse, France.
    Tags: tvm auto-scheduling compilers computer-vision dnn

    Paper published in NeurIPS ML Safety Workshop

    Posted on December 10, 2022

    Nick Louloudakis (based at the University of Edinburgh) published a paper at the NeurIPS ML Safety Workshop 2022, called “Assessing Robustness of Image Recognition Models to Changes in the Computational Environment”. [Read More]
    Tags: tvm testing compilers computer-vision dnn saftey

    SECDA-TFLite Published in JPDC

    Posted on November 11, 2022

    Our paper “SECDA-TFLite: A Toolkit for Efficient Development of FPGA-based DNN Accelerators for Edge Inference” has been accepted at Elsevier Journal of Parallel and Distributed Computing (JPDC). In addition, our code is available as an open-source toolkit for the community.
    Tags: fpga secda tflite hardware open-source computer-vision dnn

    Transfer-Tuning Published at PACT 2022

    Posted on October 12, 2022

    Our paper Transfer-Tuning was published at PACT 2022, along with an artifact review. The preprint is available on arXiv. See paper details in our publication list.
    Tags: tvm auto-scheduling compilers computer-vision dnn

    Bifrost Published at IEEE ISPASS 2022

    Congratulations to first author Axel Stjerngren

    Posted on May 22, 2022

    See paper details in our publication list.
    Tags: stonne simulators tvm computer-vision dnn

    gicLAB receives funding for BonsAPPs AIMDDE project

    Posted on January 25, 2022

    gicLAB is undertaking a 2 month project for an AI in industry challenge [Read More]
    Tags: aimdde computer-vision jetson dnn

    SECDA Published at IEEE SBAC-PAD 2021

    Congratulations to first author Jude Haris

    Posted on October 28, 2021

    Publication: SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference @ SBAC-PAD 2021. [IEEE paper] [arXiv] [Blogpost]
    Tags: secda fpga computer-vision dnn
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    Glasgow Intelligent Computing Lab @ University of Glasgow CS  •  2023