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Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product
The International Journal of High Performance Computing Applications ( IF 3.5 ) Pub Date : 2020-08-26 , DOI: 10.1177/1094342020953196 Maria Barreda 1 , Manuel F Dolz 1 , M Asunción Castaño 1
The International Journal of High Performance Computing Applications ( IF 3.5 ) Pub Date : 2020-08-26 , DOI: 10.1177/1094342020953196 Maria Barreda 1 , Manuel F Dolz 1 , M Asunción Castaño 1
Affiliation
Modeling the performance and energy consumption of the sparse matrix-vector product (SpMV) is essential to perform off-line analysis and, for example, choose a target computer architecture that del...
中文翻译：
用于估计稀疏矩阵向量乘积的运行时间和能耗的卷积神经网络
对稀疏矩阵向量乘积 (SpMV) 的性能和能耗进行建模对于执行离线分析至关重要，例如，选择可删除...
更新日期：2020-08-26
中文翻译：
用于估计稀疏矩阵向量乘积的运行时间和能耗的卷积神经网络
对稀疏矩阵向量乘积 (SpMV) 的性能和能耗进行建模对于执行离线分析至关重要，例如，选择可删除...
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