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Titlebook: High Performance Computing; 8th Latin American C Isidoro Gitler,Carlos Jaime Barrios Hernández,Este Conference proceedings 2022 Springer Na

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書目名稱High Performance Computing
副標(biāo)題8th Latin American C
編輯Isidoro Gitler,Carlos Jaime Barrios Hernández,Este
視頻videohttp://file.papertrans.cn/427/426308/426308.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: High Performance Computing; 8th Latin American C Isidoro Gitler,Carlos Jaime Barrios Hernández,Este Conference proceedings 2022 Springer Na
描述This book constitutes revised selected papers of the 8th?Latin American High Performance Computing Conference,?CARLA 2021, held in Guadalajara, Mexico, in October 2021. Due to the COVID-19 pandemic the conference was held in a virtual mode.?.The 16 revised full papers and 2 short papers presented were carefully reviewed and selected out of 45 submissions. The papers included in this book are organized according to the topics on ?high performance computing; high performance computing and artificial intelligence; high performance computing applications..
出版日期Conference proceedings 2022
關(guān)鍵詞artificial intelligence; computer hardware; computer networks; computer programming; computer systems; di
版次1
doihttps://doi.org/10.1007/978-3-031-04209-6
isbn_softcover978-3-031-04208-9
isbn_ebook978-3-031-04209-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

書目名稱High Performance Computing影響因子(影響力)




書目名稱High Performance Computing影響因子(影響力)學(xué)科排名




書目名稱High Performance Computing網(wǎng)絡(luò)公開度




書目名稱High Performance Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱High Performance Computing被引頻次




書目名稱High Performance Computing被引頻次學(xué)科排名




書目名稱High Performance Computing年度引用




書目名稱High Performance Computing年度引用學(xué)科排名




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DICE: Generic Data Abstraction for?Enhancing the?Convergence of?HPC and?Big Datain both HPC and HPDA environments. Our approach, DICE, hides the complexity of dealing with data from multiple sources, reducing the effort to access items transparently to end users and developers. The abstraction is based on a series of plugins that facilitate extension to other existing file systems.
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An Analysis of Neural Architecture Search and Hyper Parameter Optimization Methodsary objectives to accuracy in classification, conceiving the performance as the sum of precision and computational consumption. This study seeks to pinpoint possible future directions to reduce human intervention in constructing machine learning models and understanding Artificial Neural Networks.
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An Efficient Vectorized Auction Algorithm for?Many-Core and?Multicore Architecturessing the full potential of many-core and multicore machines. Moreover, the best scalability of a many-core processor, allowed over 750-fold speedup when comparing the proposed parallel vectorized version against the original sequential one.
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