This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Abstract: Graphics Processing Units (GPUs) have emerged as the predominant hardware platforms for massively parallel computing. However, their inherent von-Neumann architecture still suffers ...

A very minimal implementation of neural network on Matlab to fit mechanical properties of a multi-principal element alloy (or HEA for high entropy alloys). The example given fits the Vickers hardness ...

Abstract: Emerging high-performance computing (HPC) applications with diverse workload characteristics impose greater demands on parallel file systems (PFSs). PFSs also require more efficient software ...