Fujitsu Corporation

Fujitsu Limtied

Tamon Suwa

Masaki Kazama

Kohei Hatanaka

Tomokazu Nakagawa

Keita Ogasawara

Technique includes acquiring first contact data of first time, associated with first particle in first region; calculating first position data on particles in the first region at second time, and receiving second position data on particles in second region at the second time; detecting second particle being in contact with the first particle and in the first region at the first time and being in the first region at the second time; copying, when the first and second particles are in contact at the second time, displacement of the second particle from the first contact data to second contact data of the second time; detecting third particle being in the first or second region at the second time and in contact with the first particle; and copying, when the third particle is listed in the first contact data, displacement of the third particle to the second contact data therefrom.

Information processing apparatus and method and system for particle simulation

A fluid simulating method includes extracting, based on positional information included in particle data of particles during a predetermined time period, a first particle with a predetermined value or less of distance from a fluid particle and a second particle with the predetermined value or less of distance from the first particle from among wall boundary particles related to a boundary with a wall. The method may also include setting a boundary condition of a pressure Poisson equation for calculating pressure to be applied to each of the particles, and calculating pressure to be applied to each of the particles, based on the extracted first particle and the extracted second particle. The method may also include calculating particle data of the particles during a next time period based on the calculated pressure.

Fluid simulation program, fluid simulation method, and fluid simulation device

When simulating behavior of particles in a space having regions and subject to analysis, by processes of a predetermined number fewer than the number of regions, a particle simulation apparatus assigns the regions of the predetermined number, which are selected in descending order of the number of particles included in each of the regions, to differing processes among the processes of the predetermined number. The particle simulation apparatus sequentially assigns unassigned regions in descending order of the number of particles included in each of the unassigned regions, to the process for which the number of particles included in the regions already assigned to each of the processes of the predetermined number is the smallest.

Computer-readable recording medium, computing machine resource allocation method, and particle simulation apparatus

A parallel computer that includes a plurality of nodes assigns to each of the nodes a partial region that is a division of a region in which a plurality of types of particles are distributed, and executes a plurality of programs for a particle simulation by each of the nodes. Then, according to a type of a processing-target particle of each of the plurality of programs and an execution time of each of the plurality of programs, the parallel computer determines a computation cost for each of a plurality of processing-target particles of each of the plurality of types. Subsequently, the parallel computer changes a position of a region boundary of the partial region according to the computation cost and the number of the processing-target particles of each of the plurality of types.

Particle simulation apparatus and computer resource allocating method

A processing unit determines, based on positions of a plurality of particles representing a continuum and positions of a plurality of boundary elements representing a boundary between a first region and a second region, whether each of the plurality of particles is located in the second region. Then, the processing unit calculates, for a particle located in the second region, a force toward the first region, based on a distance between the boundary represented by the plurality of boundary elements and the particle. Then, the processing unit analyzes motion of the plurality of particles while applying the force to the particle located in the second region.

Simulation method and simulation apparatus for continuum motion analysis using a particle method

A computer is caused to execute processes of: calculating a flow rate and a water level of a continuum at each point on a two-dimensional plane in a first region, on the basis of input data; expressing the continuum in a second region contained in the first region as an assembly of particles, and subjecting the state of the each particle to a three-dimensional analysis based on the calculated flow rate and water level.

Simulation method and simulation apparatus

A search apparatus includes a storage device storing for particle data, positional information and a deformation gradient tensor; and a processor configured to generate based on the positional information, circumscribing shape data that circumscribes an influence region of the particle data; set, as a deformation object, the circumscribing shape data or region data; deform the deformation object by the deformation gradient tensor; judge whether an overlap exists between the deformed deformation object and a deformation-exempt object that is among the circumscribing shape data and the region data, and not set as the deformation object; determine particle data in the region data, as a neighbor particle data candidate of the object particle data, upon judging that an overlap exists between the deformed deformation object and the deformation-exempt object; and store to the storage device, a determination result.

Computer product, search apparatus, and search method

To obtain velocity, density, pressure, and a position per unit time, acceleration of each particle and a repulsive force applied to each particle from a boundary surface is obtained by an equation of motion discretized by a predetermined kernel function; velocity after unit time is calculated by time integration; a density time differential is calculated by a discretized continuity equation representing a temporal change in the density based on a predetermined kernel function; density after unit time is calculated by time integration on the density time differential by using the velocity after the unit time; smoothing is performed on the density at predetermined intervals; pressure after unit time is calculated by an equation of state with the density after unit time; a position after unit time is calculated; the above calculations are repeated from the initial state to the end of a predetermined time.

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Kawasaki, Japan

Tamon Suwa