In modern GPU-based non-unified heterogeneous systems, CPU-GPU communication happens via the PCI bus. Data transfers are affected by startup overhead, which underutilizes the PCI channel bandwidth for small transfers. Modern programming models, such as CUDA and OpenMP, treat each input argument to a compute kernel inde...
Dionisis-Odysseas Sotiropoulos, Sara Royuela Alcázar, Eduardo Quiñones et al.· Proceedings of the Internati...· 0 citations
In modern GPU-based non-unified heterogeneous systems, CPU-GPU communication happens via the PCI bus. Data transfers are affected by startup overhead, which underutilizes the PCI channel bandwidth for small transfers. Modern programming models, such as CUDA and OpenMP, treat each input argument to a compute kernel inde...
Dionisis-Odysseas Sotiropoulos, Sara Royuela Alcázar, Eduardo Quiñones et al.· Proceedings of the Internati...· 0 citations
On-device model adaptation is essential to enable lifelong personalization on resource-constrained hardware, but compute, power, and memory limitations of such devices make end-to-end backpropagation impractical for modern deep neural networks. This work proposes a heterogeneous adaptation pipeline that repurposes a co...
M. Piechocki, Alessandro Capotondi, Marek Kraft· arXiv.org· 0 citations
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