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Accelerating electrostatic particle-in-cell simulation: A novel FPGA-based approach for efficient plasma investigations.
Almomany, Abedalmuhdi; Sutcu, Muhammed; Ibrahim, Babul Salam K S M Kader.
Affiliation
  • Almomany A; Department of Electrical & Computer Engineering, Gulf University for Science & Technology, Hawally, Kuwait.
  • Sutcu M; Department of Engineering Management, Gulf University for Science & Technology, Hawally, Kuwait.
  • Ibrahim BSKSMK; Department of Computer Engineering, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid, Jordan.
PLoS One ; 19(6): e0302578, 2024.
Article in En | MEDLINE | ID: mdl-38829861
ABSTRACT
Particle-in-cell (PIC) simulation serves as a widely employed method for investigating plasma, a prevalent state of matter in the universe. This simulation approach is instrumental in exploring characteristics such as particle acceleration by turbulence and fluid, as well as delving into the properties of plasma at both the kinetic scale and macroscopic processes. However, the simulation itself imposes a significant computational burden. This research proposes a novel implementation approach to address the computationally intensive phase of the electrostatic PIC simulation, specifically the Particle-to-Interpolation phase. This is achieved by utilizing a high-speed Field Programmable Gate Array (FPGA) computation platform. The suggested approach incorporates various optimization techniques and diminishes memory access latency by leveraging the flexibility and performance attributes of the Intel FPGA device. The results obtained from our study highlight the effectiveness of the proposed design, showcasing the capability to execute hundreds of functional operations in each clock cycle. This stands in contrast to the limited operations performed in a general-purpose single-core computation platform (CPU). The suggested hardware approach is also scalable and can be deployed on more advanced FPGAs with higher capabilities, resulting in a significant improvement in performance.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Static Electricity Language: En Journal: PLoS One Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Static Electricity Language: En Journal: PLoS One Year: 2024 Document type: Article