Performance analysis of Machine Learning frameworks

Description

Performance analysis tools for parallel applications have been studied for decades. The current convergence between HPC and IA changes the software stack and require a redesign of the performance analysis tools.

The goal of this project is to develop new performance analysis techniques that target machine learning frameworks such as tensorflow.

Keywords

Performance analysis, Machine learning.

Contacts