本文關(guān)鍵詞： 生態(tài)環(huán)境評(píng)價(jià) 遙感 并行化處理 GPU CUDA　出處：《農(nóng)業(yè)機(jī)械學(xué)報(bào)》2017年05期 　論文類型：期刊論文

【摘要】：通過基于GPU的生態(tài)環(huán)境遙感評(píng)價(jià)模型并行化研究,在深入分析CPU+GPU異構(gòu)通用計(jì)算平臺(tái)數(shù)據(jù)傳輸瓶頸的基礎(chǔ)上,設(shè)計(jì)了數(shù)據(jù)分片、異步傳輸?shù)腉PU圖像處理框架。在此基礎(chǔ)上,將碳固定量、草地退化指數(shù)和生態(tài)環(huán)境指數(shù)3個(gè)計(jì)算模型基于CUDA進(jìn)行并行化實(shí)現(xiàn),并通過實(shí)驗(yàn)驗(yàn)證了該技術(shù)方法的有效性,隨著數(shù)據(jù)規(guī)模的變大,碳固定量計(jì)算模型的加速比達(dá)到了8.04倍,草地退化指數(shù)計(jì)算模型的加速比達(dá)到了12.21倍,生態(tài)環(huán)境指數(shù)計(jì)算模型的加速比達(dá)到了7.45倍。
[Abstract]:Based on the research of parallelism of remote sensing evaluation model of ecological environment based on GPU, and on the basis of deeply analyzing the bottleneck of data transmission in CPU GPU heterogeneous and general computing platform, the data slicing is designed. Asynchronous transmission of GPU image processing framework. On this basis, the carbon fixation, grassland degradation index and ecological environment index are implemented in parallel based on CUDA. The effectiveness of the method is verified by experiments. With the increase of the data scale, the speedup of the carbon fixation calculation model reaches 8.04 times. The speedup ratio of grassland degradation index model was 12.21 times, and that of ecological environment index model was 7.45 times.
【作者單位】： 中國農(nóng)業(yè)大學(xué)信息與電氣工程學(xué)院;謝菲爾德大學(xué)計(jì)算機(jī)學(xué)院;
【基金】：國家自然科學(xué)基金項(xiàng)目(31471762)
【分類號(hào)】：TP751
【正文快照】： 引言當(dāng)前生態(tài)環(huán)境問題愈加嚴(yán)峻,為了使相關(guān)部門及時(shí)發(fā)現(xiàn)問題并采取相應(yīng)措施,實(shí)時(shí)、準(zhǔn)確且綜合地進(jìn)行生態(tài)環(huán)境遙感評(píng)價(jià)具有重要意義[1-4]。隨著遙感衛(wèi)星傳感器技術(shù)的飛速發(fā)展,遙感數(shù)據(jù)體量的急劇增長,模型處理速度成為生態(tài)遙感評(píng)價(jià)的瓶頸[5-7]。近年來,隨著GPU設(shè)備的可編程[8]

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1 慕德俊,戴冠中,佟明安;動(dòng)態(tài)規(guī)劃的并行化方法[J];西北工業(yè)大學(xué)學(xué)報(bào);2000年03期

2 ;[J];;年期

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