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For Open IoT, we have proposed Tacit Computing technology to discover thedevices that have data users need on demand and use them dynamically and anautomatic GPU offloading technology as an elementary technology of TacitComputing. However, it can improve limited applications because it onlyoptimizes parallelizable loop statements extraction. Thus, in this paper, toimprove performances of more applications automatically, we propose an improvedmethod with reduction of data transfer between CPU and GPU. We evaluate ourproposed offloading method by applying it to Darknet and find that it canprocess it 3 times as quickly as only using CPU.

Parallel processing area extraction and data transfer number reduction for automatic GPU offloading of IoT applications