효율적인 유체 시뮬레이션을 위한 투영 단계에서의 멀티 코어 프로세서와 그래픽 프로세서의 병렬처리
In these days, the state-of-art technologies employ the heterogeneous parallelization of CPU and GPU for fluid simulations in the field of computer graphics. In this paper, we present a novel CPU-GPU parallel algorithm that solves projection step of fluid simulation more efficiently than existing se...
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Published in | 한국콘텐츠학회 논문지, 13(6) Vol. 13; no. 6; pp. 48 - 54 |
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Main Authors | , , |
Format | Journal Article |
Language | Korean |
Published |
한국콘텐츠학회
2013
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Subjects | |
Online Access | Get full text |
ISSN | 1598-4877 2508-6723 |
DOI | 10.5392/JKCA.2013.13.06.048 |
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Abstract | In these days, the state-of-art technologies employ the heterogeneous parallelization of CPU and GPU for fluid simulations in the field of computer graphics. In this paper, we present a novel CPU-GPU parallel algorithm that solves projection step of fluid simulation more efficiently than existing sequential CPU-GPU processing. Fluid simulation that requires high computational resources can be carried out efficiently by the proposed method. 최근 영화나 CF등에 사용되는 컴퓨터 그래픽스(Computer Graphics, 이하 CG)분야의 유체 시뮬레이션에서는 CPU와 GPU를 혼합하여 사용하는 기술들이 소개되고 있다. 본 논문에서는 유체 시뮬레이션 수행을 위한 투영 단계에서 멀티쓰레드를 이용하여 기존의 CPU와 GPU 간의 작업을 순차적으로 수행하던 방식을 개선하여 CPU와 GPU 간의 작업을 병렬처리 방법을 제시하였다. 제시된 방법을 통해 많은 계산량을 필요로 하는 유체시뮬레이션의 효율성을 높일 수 있었다. |
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AbstractList | In these days, the state-of-art technologies employ the heterogeneous parallelization of CPU and GPU for fluid simulations in the field of computer graphics. In this paper, we present a novel CPU-GPU parallel algorithm that solves projection step of fluid simulation more efficiently than existing sequential CPU-GPU processing. Fluid simulation that requires high computational resources can be carried out efficiently by the proposed method. 최근 영화나 CF등에 사용되는 컴퓨터 그래픽스(Computer Graphics, 이하 CG)분야의 유체 시뮬레이션에서는 CPU와 GPU를 혼합하여 사용하는 기술들이 소개되고 있다. 본 논문에서는 유체 시뮬레이션 수행을 위한 투영 단계에서 멀티쓰레드를 이용하여 기존의 CPU와 GPU 간의 작업을 순차적으로 수행하던 방식을 개선하여 CPU와 GPU 간의 작업을 병렬처리 방법을 제시하였다. 제시된 방법을 통해 많은 계산량을 필요로 하는 유체시뮬레이션의 효율성을 높일 수 있었다. 최근 영화나 CF등에 사용되는 컴퓨터 그래픽스(Computer Graphics, 이하 CG)분야의 유체 시뮬레이션 에서는 CPU와 GPU를 혼합하여 사용하는 기술들이 소개되고 있다. 본 논문에서는 유체 시뮬레이션 수행을 위한 투영 단계에서 멀티쓰레드를 이용하여 기존의 CPU와 GPU 간의 작업을 순차적으로 수행하던 방식을 개선하여 CPU와 GPU 간의 작업을 병렬처리 방법을 제시하였다. 제시된 방법을 통해 많은 계산량을 필요로 하는 유체시뮬레이션의 효율성을 높일 수 있었다. In these days, the state-of-art technologies employ the heterogeneous parallelization of CPU and GPU for fluid simulations in the field of computer graphics. In this paper, we present a novel CPU-GPU parallel algorithm that solves projection step of fluid simulation more efficiently than existing sequential CPU-GPU processing. Fluid simulation that requires high computational resources can be carried out efficiently by the proposed method. KCI Citation Count: 2 |
Author | 정휘룡(Hwi-ryong Jung) 홍정모(Jeong-Mo Hong) 김선태(Sun-Tae Kim) |
Author_xml | – sequence: 1 fullname: 김선태(Sun-Tae Kim) – sequence: 2 fullname: 정휘룡(Hwi-ryong Jung) – sequence: 3 fullname: 홍정모(Jeong-Mo Hong) |
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DocumentTitleAlternate | Parallel Processing of Multi-Core Processor and GPUs in Projection Step for Efficient Fluid Simulation |
DocumentTitle_FL | Parallel Processing of Multi-Core Processor and GPUs in Projection Step for Efficient Fluid Simulation |
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Keywords | Fluid Simulation 유체 시뮬레이션 Parallel Processing Multithreading 멀티쓰레딩 병렬 처리 |
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Snippet | In these days, the state-of-art technologies employ the heterogeneous parallelization of CPU and GPU for fluid simulations in the field of computer graphics.... 최근 영화나 CF등에 사용되는 컴퓨터 그래픽스(Computer Graphics, 이하 CG)분야의 유체 시뮬레이션 에서는 CPU와 GPU를 혼합하여 사용하는 기술들이 소개되고 있다. 본 논문에서는 유체 시뮬레이션 수행을 위한 투영 단계에서 멀티쓰레드를 이용하여 기존의 CPU와 GPU... |
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Title | 효율적인 유체 시뮬레이션을 위한 투영 단계에서의 멀티 코어 프로세서와 그래픽 프로세서의 병렬처리 |
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