AMUSE
Combine existing numerical codes in an easy to use Python framework. With AMUSE you can simulate objects such as star clusters, proto-planetary disks and galaxies.
Combine existing numerical codes in an easy to use Python framework. With AMUSE you can simulate objects such as star clusters, proto-planetary disks and galaxies.
A framework and predictor based on support vector machine and random walk graph kernel for scoring protein-protein interfaces.
This tool can convert and visualize radio astronomy measurement sets, as well as most LOFAR intermediate data products. It also performs RFI mitigation.
Fast, memory efficient and GPU accelerated radio interferometric calibration program
The cudawrappers library is a C++ wrapper for the Nvidia C libraries such as the CUDA driver, NVRTC, and cuFFT.
Dynamically compile CUDA kernels and launch them type-safely using C++ magic. Tight integration with Kernel Tuner results in blazing fast GPU code.
Rocket is a framework for efficient execution of all-pair applications on heterogeneous platforms.