Forschungszentrum Jülich

Heat is a Python library for high-performance data analytics. It gives users access to multi-node processing and GPU support by seamlessly replacing...

This project explores the use of image analysis in a two-dimensional spectrum to detect RFI (Radio Frequency Interference) in large amounts of...

HeAT, an array-based numerical programming framework for large-scale parallel processing with an easy-to-use NumPy-like API. HeAT utilizes PyTorch as...

The major goal of the project is to develop a distributed SVD algorithm that is both efficient and numerically stable in Heat. This will be a major...