Tagged with: ML


Reproducibility is a cornerstone of the scientific method. There are systems available today to build reproducible and sharable data and analysis pipelines including workflow engines (e.g., GWL, …
Supervisors: Philippe Bonnet
Semester: Fall 2020
Tags: ML, reproducibility, workflow, HPC


Intel’s oneAPI vs CPP
Students: Danny Delic
Supervisor: Pınar Tözün
Level: BSc, Semester: Spring 2020
Tags: oneAPI, ML, heterogeneous hardware, multi-threading, data-parallel execution