找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Supercomputing; 6th Russian Supercom Vladimir Voevodin,Sergey Sobolev Conference proceedings 2020 Springer Nature Switzerland AG 2020 cloud

[复制链接]
查看: 8619|回复: 60
发表于 2025-3-21 16:37:51 | 显示全部楼层 |阅读模式
书目名称Supercomputing
副标题6th Russian Supercom
编辑Vladimir Voevodin,Sergey Sobolev
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Supercomputing; 6th Russian Supercom Vladimir Voevodin,Sergey Sobolev Conference proceedings 2020 Springer Nature Switzerland AG 2020 cloud
描述.This book constitutes the refereed post-conference proceedings of the 6th Russian Supercomputing Days, RuSCDays 2020, held in Moscow, Russia, in September 2020.*..The 51 revised full and 4 revised short papers presented were carefully reviewed and selected from 106 submissions. The papers are organized in the following topical sections: parallel algorithms; supercomputer simulation; HPC, BigData, AI: architectures, technologies, tools; and distributed and cloud computing...*. The conference was held virtually due to the COVID-19 pandemic..
出版日期Conference proceedings 2020
关键词cloud computing; computer hardware; computer networks; computer programming; computer systems; distribute
版次1
doihttps://doi.org/10.1007/978-3-030-64616-5
isbn_softcover978-3-030-64615-8
isbn_ebook978-3-030-64616-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

书目名称Supercomputing影响因子(影响力)




书目名称Supercomputing影响因子(影响力)学科排名




书目名称Supercomputing网络公开度




书目名称Supercomputing网络公开度学科排名




书目名称Supercomputing被引频次




书目名称Supercomputing被引频次学科排名




书目名称Supercomputing年度引用




书目名称Supercomputing年度引用学科排名




书目名称Supercomputing读者反馈




书目名称Supercomputing读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:54:12 | 显示全部楼层
发表于 2025-3-22 02:37:26 | 显示全部楼层
发表于 2025-3-22 06:01:58 | 显示全部楼层
发表于 2025-3-22 11:07:37 | 显示全部楼层
发表于 2025-3-22 15:54:49 | 显示全部楼层
Parallel Box-Counting Method for Evaluating the Fractal Dimension of Analytically Defined Curvesgments with a billion boxes (box size is .). The graphs depicting an increase in acceleration of parallel code performance with decreasing the box size and increasing the number of curve segments are shown. It is concluded that the efficiency of using the GPU begins with three million boxes and grow
发表于 2025-3-22 17:05:35 | 显示全部楼层
发表于 2025-3-22 22:30:53 | 显示全部楼层
发表于 2025-3-23 03:27:45 | 显示全部楼层
alyze the evaluation performance using various metrics such as accuracy, loss, and f1 score. The proposed work recorded 100, 90, and 88.23% accuracy for training, validation, and test sets, respectively. The f1 score for the test set is estimated at 87.78% with a 0.50 logloss score.
发表于 2025-3-23 08:44:42 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-5 21:06
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表