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Apr, 2023
使用多模态建模和异构GNN进行性能优化
Performance Optimization using Multimodal Modeling and Heterogeneous GNN
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Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Anna Sikora, Eduardo Cesar...
TL;DR
本文提出了一种用于调整并行代码区域的技术,该技术通过使用多模态深度学习方法,将异构图神经网络和去噪自编码器用于建模基于中间表示的代码表示,从而在优化线程数量、调度策略、块大小等方面表现出良好的效果。
Abstract
Growing heterogeneity and configurability in
hpc architectures
has made
auto-tuning
applications and runtime parameters on these systems very complex. Users are presented with a multitude of options to configure
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