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Motion planning is a fundamental problem in robotics that involves generating feasible trajectories for a robot to follow. Recent advances in parallel computing, particularly through CPU and GPU architectures, have significantly reduced…

Robotics · Computer Science 2025-05-13 Jiaming Hu , Jiawei Wang , Henrik Christensen

Due to its flexible architecture, FPGAs support unique, deep hardware pipeline implementations for accelerating HPC applications. However, these devices are quite new in the HPC space, and thus, have been scarcely explored outside some…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-28 Nicolas Lee Guidotti

The performance of discrete general purpose graphics processing units (GPGPUs) has been improving at a rapid pace. The PCIe interconnect that controls the communication of data between the system host memory and the GPU has not improved as…

Computational Physics · Physics 2019-05-15 Connor Kenyon , Glenn Volkema , Gaurav Khanna

To understand the cosmic accretion history of supermassive black holes, separating the radiation from active galactic nuclei (AGNs) and star-forming galaxies (SFGs) is critical. However, a reliable solution on photometrically recognising…

At the Large Hadron Collider (LHC), the trigger systems for the detectors must be able to process a very large amount of data in a very limited amount of time, so that the nominal collision rate of 40 MHz can be reduced to a data rate that…

Instrumentation and Detectors · Physics 2015-06-17 P. Lujan , V. Halyo , A. Hunt , P. Jindal , P. LeGresley

In this study, an $N$-body simulation code was developed for self-gravitating systems with a limited first-order post-Newtonian approximation. The code was applied to a special case in which the system consists of one massive object and…

Cosmology and Nongalactic Astrophysics · Physics 2019-08-27 Takayuki Tatekawa

Active galactic nuclei (AGN) are massive black holes (BHs) caught in the act of accreting gas at the centre of their host galaxies. Part of the accreting mass is converted to energy and released into the surrounding medium, in a process…

Astrophysics of Galaxies · Physics 2022-04-14 Luca Sala , Elia Cenci , Pedro R. Capelo , Alessandro Lupi , Massimo Dotti

To assess how future progress in gravitational microlensing computation at high optical depth will rely on both hardware and software solutions, we compare a direct inverse ray-shooting code implemented on a graphics processing unit (GPU)…

Instrumentation and Methods for Astrophysics · Physics 2015-05-19 N. F. Bate , C. J. Fluke , B. R. Barsdell , H. Garsden , G. F. Lewis

In the analysis of complex physical systems, the objective often extends beyond merely computing a numerical solution to capturing the precise crossover between different regimes and extracting parameters containing meaningful information.…

Machine Learning · Computer Science 2026-01-26 Doyoung Kim , Donghee Lee , Hye-Sung Lee , Jiheon Lee , Jaeok Yi

A new molecular simulation toolkit composed of some lately developed force fields and specified models is presented to study the self-assembly, phase transition, and other properties of polymeric systems at mesoscopic scale by utilizing the…

Computational Physics · Physics 2013-10-10 You-Liang Zhu , Hong Liu , Zhan-Wei Li , Hu-Jun Qian , Giuseppe Milano , Zhong-Yuan Lu

Evolution can be broadly described in terms of mutations of the genotype and the subsequent selection of the phenotype. The full enumeration of a given genotype-phenotype (GP) map is therefore a powerful technique in examining evolutionary…

Biomolecules · Quantitative Biology 2020-11-30 S. Owen

[Abridged] We present the results of a highly parallel Kepler equation solver using the Graphics Processing Unit (GPU) on a commercial nVidia GeForce 280GTX and the "Compute Unified Device Architecture" programming environment. We apply…

Astrophysics · Physics 2008-12-17 Eric B. Ford

This paper presents the RBG-Maxwell framework, a relativistic collisional plasma simulator on GPUs. We provide detailed discussions on the fundamental equations, numerical algorithms, implementation specifics, and key testing outcomes. The…

Plasma Physics · Physics 2023-08-10 Ming-Yan Sun , Peng Xu , Jun-Jie Zhang , Qun Wang , Tai-Jiao Du , Jian-Guo Wang

In order to satisfy timing constraints, modern real-time applications require massively parallel accelerators such as General Purpose Graphic Processing Units (GPGPUs). Generation after generation, the number of computing clusters made…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-24 Houssam-Eddine Zahaf , Ignacio Sanudo Olmedo , Jayati Singh , Nicola Capodieci , Sebastien Faucou

As high energy physics experiments reach higher luminosities and intensities, the computing burden for real time data processing and reduction grows. Following the developments in the computing landscape, multi-core processors such as…

Instrumentation and Detectors · Physics 2020-08-26 Dorothea vom Bruch

Grids allow users flexible on-demand usage of computing resources through remote communication networks. A remarkable example of a Grid in High Energy Physics (HEP) research is used in the ALICE experiment at European Organization for…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-04-21 Andres Gomez , Camilo Lara , Udo Kebschull

The centers of elliptical galaxies host supermassive black holes that significantly affect the surrounding interstellar medium through feedback resulting from the accretion process. The evolution of this gas and of the nuclear emission…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-13 S. Pellegrini , L. Ciotti , J. P. Ostriker

Active galactic nuclei (AGN) are generally accepted to be powered by the release of gravitational energy in a compact accretion disk surrounding a massive black hole. Such disks are also necessary to collimate powerful radio jets seen in…

Astrophysics · Physics 2009-10-30 Jack F. Gallimore , Stefi A. Baum , Christopher P. O'Dea

This paper presents the first study of Graphcore's Intelligence Processing Unit (IPU) in the context of particle physics applications. The IPU is a new type of processor optimised for machine learning. Comparisons are made for…

Mesoscopic simulations of hydrocarbon flow in source shales are challenging, in part due to the heterogeneous shale pores with sizes ranging from a few nanometers to a few micrometers. Additionally, the sub-continuum fluid-fluid and…

Computational Physics · Physics 2019-09-13 Yidong Xia , Ansel Blumers , Zhen Li , Lixiang Luo , Yu-Hang Tang , Joshua Kane , Hai Huang , Matthew Andrew , Milind Deo , Jan Goral