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- W1489348372 abstract "Zhang’s Parton Cascade (ZPC) is an essential module in A Multi-Phase Transport (AMPT) model, which applies Monte-Carlo methods for simulating ultra-relativistic heavy-ion collisions. Our ultimate goal is to accelerate ZPC, and we start with the acceleration of the detection of two-parton collisions in the cascade. In this work, using CUDA C, we parallelized and then tested the code for the detection of the first two-parton collision in the ZPC-based simulation of parton cascade. We compared results from the parallelized code and the serial code programmed in C. The comparison has shown for the first time that a significant speedup can be achieved by utilizing GPU as a co-processor for the detection of the first two-parton collision in the ZPC-based simulation of parton cascade in heavy-ion collisions of Pb - Pb at sqrt(sNN)=2.76 TeV, which is the top colliding energy for heavyion collisions at the Large Hadron Collider (LHC). The parallelized code is readily available per request, and will be integrated into GPU-based simulation of parton cascade in the near future. This study clearly indicates that ZPC may be accelerated and so is the event generation of Monte-Carlo events for heavy-ion collisions at the LHC." @default.
- W1489348372 created "2016-06-24" @default.
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- W1489348372 date "2014-01-01" @default.
- W1489348372 modified "2023-09-27" @default.
- W1489348372 title "GPU-based First Collision Detection in Parton Cascade in Heavy-ion Collisions" @default.
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