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- W927187860 abstract "Aerial image simulation is a fundamental problem in advanced lithography for chip fabrication. Since it requires a huge number of mathematical computations, an efficient yet accurate implementation becomes a necessity. In the literature, graphic processing unit (GPU) or multi-core single instruction multiple data (SIMD) CPU has demonstrated its potential for accelerating simulation. However, the combination of GPU and multi-core SIMD CPU was not exploited thoroughly. In this paper, we present and discuss collaborative computing algorithms for the aerial image simulation on multi-core SIMD CPU and GPU. Our improved method achieves up to 160× speedup over the baseline serial approach and outperforms the state-of-the-art GPU-based approach by up to 4× speedup with a hex-core SIMD CPU and Tesla K10 GPU. We show that the performance on the collaborative computing is promising, and the medium-grained task scheduling is suitable for improving the collaborative efficiency." @default.
- W927187860 created "2016-06-24" @default.
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- W927187860 date "2015-08-01" @default.
- W927187860 modified "2023-09-22" @default.
- W927187860 title "Accelerating aerial image simulation using improved CPU/GPU collaborative computing" @default.
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- W927187860 doi "https://doi.org/10.1016/j.compeleceng.2015.05.018" @default.
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