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We present in this paper our work regarding simulating a type of P system known as a spiking neural P system (SNP system) using graphics processing units (GPUs). GPUs, because of their architectural optimization for parallel computations,…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-04-13 Francis Cabarle , Henry Adorna , Miguel A. Martinez-del-Amor

We announce the forthcoming public release of Version 1.1 of MGGPOD, a user-friendly suite of Monte Carlo codes built around the widely used GEANT (Version 3.21) package. MGGPOD is capable of simulating ab initio the physical processes…

Numerical simulations of models and theories that describe complex systems such as spin glasses are becoming increasingly important. Beyond fundamental research, these computational methods also find practical applications in fields like…

SkyPy is an open-source Python package for simulating the astrophysical sky. It comprises a library of physical and empirical models across a range of observables and a command-line script to run end-to-end simulations. The library provides…

Forthcoming cosmic microwave background (CMB) polarized anisotropy experiments have the potential to revolutionize our understanding of the Universe and fundamental physics. The sought-after, tale-telling signatures will be however…

Cosmology and Nongalactic Astrophysics · Physics 2022-05-12 Hamza El Bouhargani , Aygul Jamal , Dominic Beck , Josquin Errard , Laura Grigori , Radek Stompor

Galaxy formation and evolution simulations are essential tools to probe poorly known astrophysics processes, but particular care is needed to compare simulations with galaxy observations, as observed data need to be modelled as well. We…

We present a novel framework, InfinityGAN, for arbitrary-sized image generation. The task is associated with several key challenges. First, scaling existing models to an arbitrarily large image size is resource-constrained, in terms of both…

Computer Vision and Pattern Recognition · Computer Science 2022-03-14 Chieh Hubert Lin , Hsin-Ying Lee , Yen-Chi Cheng , Sergey Tulyakov , Ming-Hsuan Yang

Mixed integer nonlinear programming (MINLP) problems are encountered in modeling a physical/industrial process consisting both nonlinearity and discrete selective parameters. There are variety of algorithms for solving MINLP problems most…

Optimization and Control · Mathematics 2024-05-17 Negin Bagherpour , Mahdi Sharifzadeh

We present a data-parallel software package for fitting Gaussian Approximation Potentials (GAPs) on multiple nodes using the ScaLAPACK library with MPI and OpenMP. Until now the maximum training set size for GAP models has been limited by…

Materials Science · Physics 2022-11-14 Sascha Klawohn , James R. Kermode , Albert P. Bartók

This paper describes and illustrates functionality of the spNNGP R package. The package provides a suite of spatial regression models for Gaussian and non-Gaussian point-referenced outcomes that are spatially indexed. The package implements…

Computation · Statistics 2021-04-16 Andrew O. Finley , Abhirup Datta , Sudipto Banerjee

In this work we present the porting to Graphics Processing Units (GPUs, using OpenMP target directives) and optimization of a key module within the cosmological {\pinocchio} code, a Lagrangian Perturbation Theory (LPT)-based framework…

Instrumentation and Methods for Astrophysics · Physics 2025-10-06 M. D. Lepinzan , G. Lacopo , D. Goz , G. Taffoni , P. Monaco , P. J. Elahi , U. Varetto , M. Cytowski

Simulated quantum annealing is a generic classical protocol to simulate some aspects of quantum annealing and is sometimes regarded as a classical alternative to quantum annealing in finding the ground state of a classical Ising model. We…

Quantum Physics · Physics 2022-12-21 Yusuke Kimura , Hidetoshi Nishimori

Strengthening the synergy between simulations and observations is essential to test galaxy formation and evolution theories. To achieve this goal, in the first paper of this series, we presented a method to generate mock SDSS-IV/MaNGA…

The article presents and evaluates a scalable FRaGenLP algorithm for generating random linear programming problems of large dimension $n$ on cluster computing systems. To ensure the consistency of the problem and the boundedness of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-29 Leonid B. Sokolinsky , Irina M. Sokolinskaya

Developing an efficient code for large, multiscale astrophysical simulations is crucial in preparing the upcoming era of exascale computing. RAMSES is an astrophysical simulation code that employs parallel processing based on the Message…

Instrumentation and Methods for Astrophysics · Physics 2024-11-25 San Han , Yohan Dubois , Jaehyun Lee , Juhan Kim , Corentin Cadiou , Sukyoung K. Yi

We introduce GINKAKU, a new cosmological $N$-body code developed for the Dark Quest II (DQ2) simulation campaign and designed for controlled ensemble production across the cosmological model space required by next-generation galaxy surveys,…

Cosmology and Nongalactic Astrophysics · Physics 2026-05-28 Takahiro Nishimichi , Satoshi Tanaka , Kohji Yoshikawa

Conventional cosmological initial condition generators are designed exclusively for fully periodic cubic domains and cannot produce the non-periodic, observer-centric configurations required by stereographically projected N-body codes such…

Cosmology and Nongalactic Astrophysics · Physics 2026-05-12 Balázs Pál , Gábor Rácz , István Csabai , István Szapudi

We present MG-GLAM, a code developed for the very fast production of full $N$-body cosmological simulations in modified gravity (MG) models. We describe the implementation, numerical tests and first results of a large suite of cosmological…

Cosmology and Nongalactic Astrophysics · Physics 2022-05-13 César Hernández-Aguayo , Cheng-Zong Ruan , Baojiu Li , Christian Arnold , Carlton M. Baugh , Anatoly Klypin , Francisco Prada

OpenMP is a cross-platform API that extends C, C++ and Fortran and provides shared-memory parallelism platform for those languages. The use of many cores and HPC technologies for scientific computing has been spread since the 1990s, and now…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-07-25 Gal Oren , Yehuda Ganan , Guy Malamud

Continuous variables multipartite entanglement is a key resource for quantum technologies. This works considers the multipartite entanglement generated in separated spatial modes of the same light beam by three different parametric sources:…

Quantum Physics · Physics 2021-12-08 Alessandra Gatti