Last took part in 2022

Forschungszentrum Jülich

Shaping change: open source for Big Science

Contributors in 2026

–

Not taking part

Projects since 2016

4 a cycle on average

Cycles

1 of 11

First in 2022

Rank in 2026

–

By contributors

Mentors

for 4 projects in 2022

Contributors per cycle

Accepted projects each year, against the median organization that year

View as table

Each one has its own page of organizations and trends

Is Forschungszentrum Jülich in GSoC 2026?: No. It last took part in 2022.
How long has it taken part?: 1 of 11 cycles since 2016, first in 2022.
How many contributors does it usually take?: 4 a cycle on average, 4 in total. Its largest cycle was 2022, with 4.
What does it build with?: Python, MPI, High Performance Computing, PyTorch, GPU.

Python array API standard compatibility
Neo Sun HanMentored by Michael Tarnawa
Heat is a Python library for high-performance data analytics. It gives users access to multi-node processing and GPU support by seamlessly replacing...
Project Summary
RFI Mitigation
Pratham ShahMentored by Claudia Comito, Hans
This project explores the use of image analysis in a two-dimensional spectrum to detect RFI (Radio Frequency Interference) in large amounts of...
Project Summary
Interactive benchmarking analysis via Ginko Performance Explorer
Tewodros MesfinMentored by Björn Hagemeier, Juan Pedro Ghm
HeAT, an array-based numerical programming framework for large-scale parallel processing with an easy-to-use NumPy-like API. HeAT utilizes PyTorch as...
Project Summary
Memory-Distributed Singular value decomposition.
V. Sai SurajMentored by Daniel Coquelin
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...
Project Report

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Data: Google Summer of Code public archive. Contributor counts are accepted projects.