JOSS Papers: High-performance

Published Papers

published Published 2 months ago

High-performance neural population dynamics modeling enabled by scalable computational infrastructure

Dockerfile Python Smarty

10.21105/joss.05023

published Published 3 months ago

Pyccel: a Python-to-X transpiler for scientific high-performance computing

Python C Fortran

10.21105/joss.04991

published Published 3 months ago

DistributedSparseGrids.jl: A Julia library implementing an Adaptive Sparse Grid collocation method

Julia

10.21105/joss.05003

published Published 4 months ago

PoUnce: A framework for automatized uncertainty quantification simulations on high-performance clusters

Python

10.21105/joss.04683

published Published 7 months ago

rustworkx: A High-Performance Graph Library for Python

Python Rust

10.21105/joss.03968

published Published 11 months ago

pyABC: Efficient and robust easy-to-use approximate Bayesian computation

Python Mako

@yannikschaelte

10.21105/joss.04304

published Published 11 months ago

Interface to high-performance periodic coupled-cluster theory calculations with atom-centered, localized basis functions

Fortran

10.21105/joss.04040

published Published 12 months ago

GridapDistributed: a massively parallel finite element toolbox in Julia

Julia

@amartinhuertas

10.21105/joss.04157

published Published about 1 year ago

GiNaCDE: the high-performance F-expansion and First Integral Methods with C++ library for solving Nonlinear Differential Equations

C++

10.21105/joss.03885

published Published about 1 year ago

epyc: Computational experiment management in Python

Python

@simoninirelland

10.21105/joss.03764

Displaying papers 1 - 10 of 36 in total

Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066