Our community of developers and enthusiasts have harnessed the power of HPX to create a diverse range of applications and tools to address high-performance computing (HPC) challenges and drive progress across computational domains.
Whether you’re seeking a fast machine learning platform, studying high-energy density flows, or exploring environmental modeling, you’ll find it all within this curated collection.
Explore the groundbreaking work achieved through HPX.
Developed by
Oak Ridge National Laboratory, CSCS Swiss National Supercomputing Centre, Louisiana State University
Purpose
A high-performance research software framework solving quantum many-body problems with cutting-edge quantum cluster algorithms.
Developed by
First Light Fusion Ltd
Purpose
A hydrodynamic front-tracking cose for the study of high energy density multi-material flows.
Developed by
Louisiana State University, University of Oregon, University of Arizona
Purpose
An asyncronous distributed C++ array processing toolkit.
Developed by
Sandia National Labs and CSCS
Purpose
Implements a programming model in C++ for writing performance portable applications targeting major HPC platforms.
Developed by
Klaus Igelberger
Purpose
A high-performance C++ math library.
Developed by
Klaus Igelberger
Purpose
A high-performance C++ math library.
Developed by
Los Alamos National Laboratory
Purpose
The Flexible Computational Science Infrastructure.
Developed by
Computational Geography, Utrecht University, The Netherlands
Purpose
Environmental modeling framework.
Developed by
STE||AR Group
Purpose
An auto-parallelizing library to accelerate stencil code-based computer simulations on various architectures.
Developed by
Archibald Maier
Purpose
A generic framework for exact combinatorial search.
Developed by
LSU and UT Austin
Purpose
A simulation code for various non-local models, e.g., peridynamics.
Developed by
Cybersecurity Lab, Louisiana State University
Purpose
Grey0box fuzzer.
