Media Summary: About the Session: In this installment of the ALCF Many-Core Developer Sessions, AG Ramesh of XLA compilation on GPU can greatly boost the performance of your models (~1.2x-35x performance improvements recorded). It is important to make optimal use of your hardware resources (CPU and GPU) while training a deep learning model. You can use ...
Tensorflow Optimizations On Modern Intel Architectures - Detailed Analysis & Overview
About the Session: In this installment of the ALCF Many-Core Developer Sessions, AG Ramesh of XLA compilation on GPU can greatly boost the performance of your models (~1.2x-35x performance improvements recorded). It is important to make optimal use of your hardware resources (CPU and GPU) while training a deep learning model. You can use ... Bio: Ellick Chan is the Head of University Relations and Research at What is CUDA? And how does parallel computing on the GPU enable developers to unlock the full potential of AI? Learn the ...
