Perry Gibson
Research title: Modular development of across-stack deep learning inference accelerators on heterogeneous devices
Research title: Modular development of across-stack deep learning inference accelerators on heterogeneous devices
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)
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)
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. 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)
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)