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In this review, we highlight recent developments in the application of machine learning for molecular modeling and simulation. After giving a brief overview of the foundations, components, and workflow of a typical supervised learning…

Data Analysis, Statistics and Probability · Physics 2019-02-21 Mojtaba Haghighatlari , Johannes Hachmann

Molecular Dynamics simulations are becoming a powerful tool for examining and predicting atomic and molecular processes in various environment. The present review shows how, in the fields of plasma physics, chemistry and interactions with…

Plasma Physics · Physics 2023-12-14 Pascal Brault

This paper presents a comprehensive comparison of three dominant parallel programming models in High Performance Computing (HPC): Message Passing Interface (MPI), Open Multi-Processing (OpenMP), and Compute Unified Device Architecture…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-19 Nizar ALHafez , Ahmad Kurdi

A numerical model and parallel software for 3D simulations of granular flows have been developed based on the Lagrangian particle (LP) method [R.Samulyak, X. Wang, H.-C. Chen, Lagrangian particle method for compressible fluid dynamics, J.…

Computational Physics · Physics 2022-06-29 Mario Zepeda , Roman Samulyak

Microfluidic multipoles (MFMs) have been realized experimentally and hold promise for "open-space" biological and chemical surface processing. Whereas convective flow can readily be predicted using hydraulic-electrical analogies, the design…

We present a new solver for massively parallel simulations of fully three-dimensional multiphase flows. The solver runs on a variety of computer architectures from laptops to supercomputers and on 65536 threads or more (limited only by the…

Fluid Dynamics · Physics 2014-11-03 S. Shin , J. Chergui , D. Juric

In the exascale computing era, optimizing MPI collective performance in high-performance computing (HPC) applications is critical. Current algorithms face performance degradation due to system call overhead, page faults, or data-copy…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-19 Jiajun Huang , Kaiming Ouyang , Yujia Zhai , Jinyang Liu , Min Si , Ken Raffenetti , Hui Zhou , Atsushi Hori , Zizhong Chen , Yanfei Guo , Rajeev Thakur

The hybrid MPI+X programming paradigm, where X refers to threads or GPUs, has gained prominence in the high-performance computing arena. This corresponds to a trend of system architectures growing more heterogeneous. The current MPI…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-31 Hui Zhou , Ken Raffenetti , Yanfei Guo , Rajeev Thakur

The article reviews fluid flow models implemented in the leading CFD software tools and designed for simulation of multi-component and multi-phase flows, compressible flows, flows with heat transfer, cavitation and other phenomena. The…

Fluid Dynamics · Physics 2007-05-23 Alexey N. Kochevsky

The Message Passing Interface (MPI) is the prevalent programming model used on today's supercomputers. Therefore, MPI library developers are looking for the best possible performance (shortest run-time) of individual MPI functions across…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-05-30 Sascha Hunold , Alexandra Carpen-Amarie

The objective of this article is to report the parallel implementation of the 3D molecular dynamic simulation code for laser-cluster interactions. The benchmarking of the code has been done by comparing the simulation results with some of…

Computational Physics · Physics 2015-06-16 Amol R. Holkundkar

In this paper, we propose an efficient and accurate message-passing interface (MPI)-based parallel simulator for streamer discharges in three dimensions using the fluid model. First, we propose a new second-order semi-implicit scheme for…

Computational Physics · Physics 2021-12-13 Bo Lin , Chijie Zhuang , Zhenning Cai , Rong Zeng , Weizhu Bao

Proceedings of ISMD08

High Energy Physics - Phenomenology · Physics 2019-08-17 J. Bartels , K. Borras , G. Gustafson , H. Jung , K. Kutak , S. Levonian , J. Mnich , A. Achilli , J. L. Albacete , M. G. Albrow , L. Alvarez-Gaumé , F. Ambroglini , E. Avsar , R. Baier , P. Bartalini , J. Bartels , F. W. Bopp , W. Broniowski , R. Brower , A. Bunyatyan , W. Busza , H. Caines , M. Chojnacki , C. Ciocca , A. Cooper-Sarkar , T. Csörgő , A. De Roeck , M. Diehl , M. Djuric , I. M. Dremin , W. Ehrenfeld , R. Engel , L. Fanò , R. Field , Ch. Flensburg , W. Florkowski , C. Gómez , L. Garbini , R. Godbole , K. Golec-Biernat , A. Grau , K. Hatakeyama , F. Hautmann , S. Heinemeyer , K. Homma , T. Hurth , E. Iancu , K. Itakura , L. L. Jenkovszky , H. Jung , A. B. Kaidalov , D. Kar , J. Katzy , V. A. Khoze , A. Kisiel , J. -L. Kneur , T. Kodama , T. Koide , E. Kokoulina , K. Kolar , A. V. Koshelkin , Y V. Kovchegov , A. Kropivnitskaya , K. Kutak , A. Kutov , M. Lancaster , G. Li , L. Liu , L. N. Lipatov , M. V. T. Machado , G. Marchesini , C. Marquet , L. McLerran , Y. Mehtar-Tani , M. Yu , W. J. Metzger , A. Meyer , XU Mingmei , S. Moch , Z. Nagy , M. Nagy , J. Nemchik , S. Ostapchenko , S. S. Padula , G. Pancheri , K. Papageorgiou , T. Pierog , O. I. Piskounova , J. Ranft , S. Roesler , J. Rojo , V. Ryadovikov , M. G. Ryskin , A. Sabio Vera , A. Savin , T. Shears , R. Shehzadi , Y. N. Srivastava , J. Stirling , M. Strassler , M. Sumbera , M. Taševský A. Taliotis , C-I Tan , A. Tavanfar , P. Thompson , M. Tokarev , P. Travnicek , D. Treleani , G. Tsiledakis , I. Tsukerman , M. A. Vázquez-Mozo , P. van Mechelen , D. Wegener , G. Weiglein , Ch. White , D. Wicke M. Wing , G. Wolschin , R. Yoshida , I. Zborovsk

One of the current challenges in physically-based simulations, and, more specifically, fluid simulations, is to produce visually appealing results at interactive rates, capable of being used in multiple forms of media. In recent times, a…

Graphics · Computer Science 2024-04-17 Pedro Centeno , João Madeiras Pereira

Message Passing Interface (MPI) plays a crucial role in distributed memory parallelization across multiple nodes. However, parallelizing MPI code manually, and specifically, performing domain decomposition, is a challenging, error-prone…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-31 Nadav Schneider , Tal Kadosh , Niranjan Hasabnis , Timothy Mattson , Yuval Pinter , Gal Oren

Atomic-scale simulations have progressed tremendously over the past decade, largely due to the availability of machine-learning interatomic potentials. These potentials combine the accuracy of electronic structure calculations with the…

The connection between fundamental interactions acting in molecules in a fluid and macroscopically measured properties, such as the viscosity between colloidal particles coated with polymers, is studied here. The role that hydrodynamic and…

Soft Condensed Matter · Physics 2015-09-02 A. Gama Goicochea , M. A. Balderas Altamirano , R. Lopez-Esparza , M. A. Waldo , E. Perez

A hybrid scheme that utilizes MPI for distributed memory parallelism and OpenMP for shared memory parallelism is presented. The work is motivated by the desire to achieve exceptionally high Reynolds numbers in pseudospectral computations of…

Computational Physics · Physics 2010-03-24 Pablo D. Mininni , Duane L. Rosenberg , Raghu Reddy , Annick Pouquet

We present our recent code modernizations of the of the ab initio molecular dynamics program CPMD (www.cpmd.org) with a special focus on the ultra-soft pseudopotential (USPP) code path. Following the internal instrumentation of CPMD, all…

Computational Physics · Physics 2020-03-20 Tobias Klöffel , Gerald Mathias , Bernd Meyer

Asynchronous programming models (APM) are gaining more and more traction, allowing applications to expose the available concurrency to a runtime system tasked with coordinating the execution. While MPI has long provided support for…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-23 Joseph Schuchart , Christoph Niethammer , José Gracia