high-performance computing

Python API and CLI for remote submission and monitoring of Python applications on HPC.

XStore is a high-performance key-value store for time-series

NeuroML-based neural simulator

The NAStJA framework provides an easy way to enable massively parallel simulations for a wide range of multi-physics applications based on stencil algorithms.

An application that requires significant computation to be resilient is an essential feature, and dealing with faults is critical to running an application in some high-performance computing environments. The Dependability Library for Iterative Applications (DeLIA) proposed was designed to be applications that use high-performance techniques and have synchronization moments.

Standard Template Adaptive Parallel Library: https://parasollab.web.illinois.edu/research/stapl/

SuperConga: Superconductivity simulation framework on GPU.

A NAStJA Application