Optimizing Offload Performance in Heterogeneous MPSoCs
<|reference_start|>Optimizing Offload Performance in Heterogeneous MPSoCs: Heterogeneous multi-core architectures combine a few "host" cores, optimized for single-thread performance, with many small energy-efficient "accelerator" cores for data-parallel processing, on a single chip. Offloading a computation to the many-core acceleration fabric introduces a communication and synchronization cost which reduces the speedup attainable on the accelerator, particularly for small and fine-grained parallel tasks. We demonstrate that by co-designing the hardware and offload routines, we can increase the speedup of an offloaded DAXPY kernel by as much as 47.9%. Furthermore, we show that it is possible to accurately model the runtime of an offloaded application, accounting for the offload overheads, with as low as 1% MAPE error, enabling optimal offload decisions under offload execution time constraints.<|reference_end|>
@article{colagrande2024optimizing,
    title={Optimizing Offload Performance in Heterogeneous MPSoCs},
    author={Luca Colagrande and Luca Benini},
    journal={2024 Design, Automation & Test in Europe Conference & Exhibition
  (DATE) Proceedings},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.01908},
    primaryClass={cs.AR cs.DC}
}