This preprint has been published.
DOI: https://doi.org/10.12792/iciae2020.004
Preprint / Version 1

Proposal of Automatic Offloading for Function Blocks of Applications

##article.authors##

  • Yoji Yamato NTT Corporation

DOI:

https://doi.org/10.51094/jxiv.1191

Keywords:

Environment Adaptive Software, Automatic Offloading, Performance, Evolutionary Computation, Function Block

Abstract

When using heterogeneous hardware other than CPUs, barriers of technical skills such as OpenCL are high. Based on that, I have proposed environment adaptive software that enables automatic conversion, configuration, and high-performance operation of once written code, according to the hardware to be placed. Partly of the offloading to the GPU was automated previously. In this paper, I propose a method for offloading a function block, which is a larger unit, instead of individual loop statements in an application, to achieve higher speed by automatic offloading to GPU and FPGA. I implement the proposed method and evaluate with existing applications offloading to GPU.

Y. Yamato, “Proposal of Automatic Offloading for Function Blocks of Applications,” The 8th IIAE International Conference on Industrial Application Engineering 2020 (ICIAE 2020), Mar. 2020.

Conflicts of Interest Disclosure

Power Saving Evaluation with Automatic Offloading

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Submitted: 2025-04-07 04:51:06 UTC

Published: 2025-04-09 09:16:22 UTC
Section
Information Sciences