JOSS Papers: High-performance

Published Papers

published Published over 1 year ago

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

Julia

10.21105/joss.05003

published Published over 1 year ago

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

Python

10.21105/joss.04683

published Published almost 2 years ago

rustworkx: A High-Performance Graph Library for Python

Python Rust

10.21105/joss.03968

published Published about 2 years ago

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

Python Mako

@yannikschaelte

10.21105/joss.04304

published Published about 2 years ago

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

Fortran

10.21105/joss.04040

published Published over 2 years ago

GridapDistributed: a massively parallel finite element toolbox in Julia

Julia

@amartinhuertas

10.21105/joss.04157

published Published over 2 years 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 over 2 years ago

epyc: Computational experiment management in Python

Python

@simoninirelland

10.21105/joss.03764

published Published over 2 years ago

CHAMP is a HPC Access and Metadata Portal

Python Ruby DIGITAL Command Language

10.21105/joss.03824

published Published almost 3 years ago

The jagstargets R package: a reproducible workflow framework for Bayesian data analysis with JAGS

R

10.21105/joss.03877

Displaying papers 11 - 20 of 44 in total

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