Ben van Werkhoven
Kernel Tuner
Kernel Tuner greatly simplifies the development of highly-optimized and auto-tuned CUDA, OpenCL, and C code, supporting many advanced use-cases and optimization strategies that speed up the auto-tuning process.
- Big data
- GPU
- High performance computing
- + 3
- Python
Netherlands eScience Center Python Template
Generic template for Python packages, so you can spend less time setting up and configuring, and comply with the Netherlands eScience Center Software Development Guide from the start.
- software development tools
- software sustainability
- template
- Jinja
- Python
- Shell
Via Appia Visualization
A web application which visualizes the point clouds and additional data gathered in the Via Appia project with WebGL.
- Visualization
- JavaScript
- HTML
- CSS
OMUSE
A Python environment to interface and couple oceanographic and other earth system model codes.
- High performance computing
- Multi-scale & multi model simulations
- Fortran
- Python
- HTML
- + 10
LitStudy
Explore scientific literature using Python from the comfort of a Jupyter notebook
- Inter-operability & linked data
- Text analysis & natural language processing
- Visualization
- Python
- HTML
Xenon
If you are using remote machines to do your computations, and don’t feel like learning and implementing many different APIs, Xenon is the tool for you.
- batch-job
- distributed computing
- FTP
- + 11
- Java
- Shell
- Batchfile
Noodles
Task-based parallel programming model in Python that offers the same intuitive interface when running complex workflows on your laptop or on large computer clusters.
- High performance computing
- Workflow technologies
- Jupyter Notebook
- Python
- Shell
- + 2
ewatercycle
The eWaterCycle package makes it easier to use hydrological models without having intimate knowledge about how to install and run the models.
- Inter-operability & linked data
- Multi-scale & multi model simulations
- Optimized data handling
- + 1
- Python
- Dockerfile
cudawrappers
The cudawrappers library is a C++ wrapper for the Nvidia C libraries such as the CUDA driver, NVRTC, and cuFFT.
- accelerators
- CUDA
- GPU
- C++
- CMake
- Python
- + 1
PowerSensor3
PowerSensor is a low-cost, custom-built device that measures the instantaneous power consumption of GPUs and other devices at a high time resolution.
- GPU
- High performance computing
- C
- C++
- Python
- + 3
Kernel Launcher
Dynamically compile GPU kernels and launch them easily and safely using C++ magic. Tight integration with Kernel Tuner results in blazing fast CUDA code that is maintainable and performance portable.
- auto-tuning
- CUDA
- GPU
- + 2
- C++
- Python
- CMake
- + 3