Introduction Notebook regression testing ensures that interactive examples and analyses remain correct and reproducible, catching regressions introduced by changes in code, dependencies, or execution environments. For QMCPy [1], this process is both massively parallel and resource-intensive due to the number and complexity of its notebooks. This blog post summarizes our work on accelerating notebook regressionContinue reading “Parsl Accelerated QMCPy Notebook Tests”