Parallel particle-in-cell performance optimization: A case study of electrospray simulation

Ramachandran Kodanganallur Narayanan; Kamesh Madduri

doi:10.1109/IPDPSW.2017.160

Parallel particle-in-cell performance optimization: A case study of electrospray simulation

Ramachandran Kodanganallur Narayanan, Kamesh Madduri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The particle-in-cell (PIC) numerical technique is frequently used in physics and engineering simulations. In this work, we describe ES-PIC, a new shared-memory parallel implementation of the PIC technique for electrospray simulations. Electrospray simulations are used in aerospace applications, and the goal of an electrospray simulation is to understand behavior of an electrospray thruster or a colloid thruster. We discuss performance optimizations for various steps of a PICbased electrospray simulation. One of the main steps in this simulation is solving the Poisson partial differential equation, and this step can be in turn converted to solving a system of linear equations. We develop a parallel implementation of the Multigrid method for this step. We demonstrate that ESPIC is significantly faster than other parallel PIC electrospray simulation implementations on Intel Xeon multicore platforms. Further, ES-PIC can serve as a real-world scientific computing benchmark for analyzing parallel system performance.

Original language	English (US)
Title of host publication	Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1158-1167
Number of pages	10
ISBN (Electronic)	9781538634080
DOIs	https://doi.org/10.1109/IPDPSW.2017.160
State	Published - Jun 30 2017
Event	31st IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017 - Orlando, United States Duration: May 29 2017 → Jun 2 2017

Other

Other	31st IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017
Country/Territory	United States
City	Orlando
Period	5/29/17 → 6/2/17

All Science Journal Classification (ASJC) codes

Hardware and Architecture
Computer Networks and Communications
Information Systems

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10.1109/IPDPSW.2017.160

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Narayanan, R. K., & Madduri, K. (2017). Parallel particle-in-cell performance optimization: A case study of electrospray simulation. In Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017 (pp. 1158-1167). [7965169] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPDPSW.2017.160

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title = "Parallel particle-in-cell performance optimization: A case study of electrospray simulation",

abstract = "The particle-in-cell (PIC) numerical technique is frequently used in physics and engineering simulations. In this work, we describe ES-PIC, a new shared-memory parallel implementation of the PIC technique for electrospray simulations. Electrospray simulations are used in aerospace applications, and the goal of an electrospray simulation is to understand behavior of an electrospray thruster or a colloid thruster. We discuss performance optimizations for various steps of a PICbased electrospray simulation. One of the main steps in this simulation is solving the Poisson partial differential equation, and this step can be in turn converted to solving a system of linear equations. We develop a parallel implementation of the Multigrid method for this step. We demonstrate that ESPIC is significantly faster than other parallel PIC electrospray simulation implementations on Intel Xeon multicore platforms. Further, ES-PIC can serve as a real-world scientific computing benchmark for analyzing parallel system performance.",

author = "Narayanan, {Ramachandran Kodanganallur} and Kamesh Madduri",

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Narayanan, RK & Madduri, K 2017, Parallel particle-in-cell performance optimization: A case study of electrospray simulation. in Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017., 7965169, Institute of Electrical and Electronics Engineers Inc., pp. 1158-1167, 31st IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017, Orlando, United States, 5/29/17. https://doi.org/10.1109/IPDPSW.2017.160

Parallel particle-in-cell performance optimization : A case study of electrospray simulation. / Narayanan, Ramachandran Kodanganallur; Madduri, Kamesh.

Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1158-1167 7965169.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Parallel particle-in-cell performance optimization: A case study of electrospray simulation

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