A machine learning boosted parallel-in-time differential equation solver framework.

Python Parareal code to study its dispersion relation

A Testing Framework for Parallel-in-Time methods

A Parareal Implementation in Matlab/Octave for Problems with Discontinuous Sources

A distributed and GPU-based implementation of the Parareal algorithm for parallel-in-time integration of equations of motion.

A high performance data-driven and differentiable SPH fluid solver

Data assimilation and parareal method

CMSE 822 - Parallel Computing - Final Project

A physics-agnostic orchestration layer for the Parareal algorithm, with a PINN + Crank–Nicolson reference workflow, designed to accept any coarse or fine propagator (numerical or ML surrogate) and run in serial, multiprocessing, or MPI execution modes.

Parareal with a Physics Informed neural Operator as Coarse Propagator

Space–time Parareal workflow for the multi-asset Black–Scholes equation by combining dask-based spatial parallelism with a learned Physics-Informed Neural Operator (PINO) coarse propagator.