First experience of vectorizing electromagnetic physics models for detector simulation

21st International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Amadio, G.^1 ; Apostolakis, J.^2 ; Bandieramonte, M.^3 ; Bianchini, C.^1,8 ; Bitzes, G.^2 ; Brun, R.^2 ; Canal, P.^4 ; Carminati, F.^2 ; De Fine Licht, J.^5 ; Duhem, L.^6 ; Elvira, D.^4 ; Gheata, A.^2 ; Jun, S.Y.^4 ; Lima, G.^4 ; Novak, M.^2 ; Presbyterian, M.^7 ; Shadura, O.^2 ; Seghal, R.^7 ; Wenzel, S.^2

Parallel Computing Center, Sao Paulo State University (UNESP), Sao Paulo, Brazil^1

CERN, PH Department, Geneva

CH-1211, Switzerland^2

Instituto Nazionale di Astrofisica, Osservatorio Astrofisico di Catania, Catania, Italy^3

Fermilab, MS234, P.O. Box 500, Batavia

IL

60510, United States^4

University of Copenhagen, Copenhagen, Denmark^5

Intel Corporation, Santa Clara

CA, United States^6

Bhabha Atomic Research Centre (BARC), Mumbai, India^7

Mackenzie Presbyterian University, Sao Paulo, Brazil^8

关键词: Concurrent programming;    Detector simulations;    Electromagnetic physics;    Hardware architecture;    Heterogeneous platforms;    Memory access latency;    Multi-threading capabilities;    Optimal performance;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/664/9/092013/pdf
DOI  :  10.1088/1742-6596/664/9/092013

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The recent emergence of hardware architectures characterized by many-core or accelerated processors has opened new opportunities for concurrent programming models taking advantage of both SIMD and SIMT architectures. The GeantV vector prototype for detector simulations has been designed to exploit both the vector capability of mainstream CPUs and multi-threading capabilities of coprocessors including NVidia GPUs and Intel Xeon Phi. The characteristics of these architectures are very different in terms of the vectorization depth, parallelization needed to achieve optimal performance or memory access latency and speed. An additional challenge is to avoid the code duplication often inherent to supporting heterogeneous platforms. In this paper we present the first experience of vectorizing electromagnetic physics models developed for the GeantV project.