affidavit 发表于 2025-3-21 16:17:08
书目名称High Performance Computing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0426308<br><br> <br><br>书目名称High Performance Computing影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0426308<br><br> <br><br>书目名称High Performance Computing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0426308<br><br> <br><br>书目名称High Performance Computing网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0426308<br><br> <br><br>书目名称High Performance Computing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0426308<br><br> <br><br>书目名称High Performance Computing被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0426308<br><br> <br><br>书目名称High Performance Computing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0426308<br><br> <br><br>书目名称High Performance Computing年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0426308<br><br> <br><br>书目名称High Performance Computing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0426308<br><br> <br><br>书目名称High Performance Computing读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0426308<br><br> <br><br>Simulate 发表于 2025-3-21 21:46:04
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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.旧病复发 发表于 2025-3-22 19:34:32
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.Instrumental 发表于 2025-3-23 01:07:42
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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.