GPU Acceleration of Monte Carlo Simulation at the Cellular and DNA Levels

被引：1

作者：

Okada, Shogo ^{[1
]}

Murakami, Koichi ^{[1
]}

Amako, Katsuya ^{[1
]}

Sasaki, Takashi ^{[1
]}

Incerti, Sebastien ^{[2
]}

Karamitros, Mathieu ^{[2
]}

Henderson, Nick ^{[3
]}

Gerritsen, Margot ^{[3
]}

Asai, Makoto ^{[4
]}

Dotti, Andrea ^{[4
]}

机构：

[1] High Energy Accelerator Res Org, KEK, 1-1 Oho, Tsukuba, Ibaraki 3050801, Japan

[2] Univ Bordeaux, Ctr Etud Nucl Bordeaux Gradignan, CNRS IN2P3, F-33175 Gradignan, France

[3] Stanford Univ, Inst Computat & Math Engn, 475 Via Ortega, Stanford, CA 94306 USA

[4] SLAC Natl Accelerator Lab, 2575 Sand Hill Rd, Menlo Pk, CA 94025 USA

来源：

INNOVATION IN MEDICINE AND HEALTHCARE 2015 | 2016年 / 45卷

关键词：

GEANT4-DNA;

D O I：

10.1007/978-3-319-23024-5_29

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Geant4-DNA is an extension of the general purpose Geant4 Monte Carlo simulation toolkit. It can simulate particle-matter physical interactions down to very low energies in liquid water. The simulation in that energy scale needs enormous computing time since it simulates all physical interactions following a discrete approach. This work presents the implementation of the physics processes/models of the Geant4-DNA extension in GPU architecture. We observed impressive performance gain with the same physics accuracy as existing methods.

引用

页码：323 / 332

页数：10

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