1. Evolving Architecture for Beyond the Standard Model Kihyeon CHO, Jangho KIM and Junghyun KIM (KISTI) CHEP 2015 (Computing in High Energy Physics) Okinawa, Japan April 13~17, 2015

2. Contents Beyond Standard Model Simulation Computing Results Summary 2 Beyond Standard Model Simulation Tool Kit (MadGraph, Geant4) Evolving Computing Architecture

3. The SM is now complete? 3 Higgs Discovery (July 4, 2012) Beyond Standard Model

4. 4 Energy Frontier Intensity Frontier Cosmic Frontier P5 Report (2014.5.22) HiggsNeutrino Mass Dark Matter Dark Energ y The Unknown SMBeyond the Standard Model After P5 Report ⇒ Before P5 Report Beyond Standard Model

5. Beyond the Standard Model 5 Beyond Standard Model

6. HEP Simulation 4 6 (physics) Simulation We focus on MadGraph & Geant4.

7. 7 Simulation Geant4 is the most successful model in HEP. HEP user community – BaBar(2001), LHC(2003), Belle II Other community: Medical, Space, DNA physics, Solid

8. Vision for HEP Simulation To have a massively parallelized particle transportation engine To comply with different architecture (GPU, MIC and etc.) To draw community interests for collateral effort 8 Simulation

9. ⇒ Evolving Computing Architecture 9 Computing P5 report

10. S. Y. Jun 10 Computing

11. 1. HTC module into MadGraph We embed HTC module into MadGraph. ⇒ Korean Economic News (2014.10.31) Then, using it we study BSM. ⇒ arXiv: 1412.1541 [hep-ph] 11 Results Beyond Standard Model (Z.’, Z’’) Simulation Tool Kit (MadGraph) Evolving Computing Architecture (HTC)

12. 2. Finite Volume Effects on B K 12 Beyond Standard Model (BK) Simulation (Finite Volume Effects) Evolving Computing Architecture (GPU) ⇒ To reduce the error of B K, we have to calculate the finite volume effect on the lattice. CP violation in Kaon System Calculated using Lattice QCD Results Error Budget of B K Reference: Kim, Jangho et al. Phys.Rev. D83 (2011) 117501 arXiv:1101.2685 [hep-lat]Kim, Jangho

13. GPU programming using CUDA m_low m_high Results Parallel processing in GPU

14. 14 Beyond Standard Model(BK) Simulation (NPR) Evolving Computing Architecture (GPU) 3. NPR to calculate the matching factor of B K One-Loop NPR (Non- perturbative Renormalization) Results Error Budget of B K

15. 15 NPR to calculate the matching factor of B K (cont’d) Results Reference: Hwancheol Jeong, Jangho Kim et al. PoS(LATTICE2014)286 (2014) arXiv:1410.6607[hep- lat] Hwancheol

16. GPU Performance NPR measurement code is optimized for GTX 480. Program CPUGPU GPU vs. CPU CPU Spec. GFLOPS VGA (Peak Performance in double precision) GFLOP S Optimi- zation Xeon E5-2620 0.5 GTX 480 (168 GFLOPS) 64.338%128.6 Non- perturbative Renormalizati on(NPR) measurement Core i7- 4820K 1.13 GTX 480 (168 GFLOPS) 66.640%58.9 GTX 580 (198 GFLOPS) 76.1967.2 GTX Titan Black (1707 GFLOPS) 113.36100.3 Results

17. Summary Physics goes beyond discovery. Computing needs solutions for the evolving architecture. ⇒ To fulfill the gap between physics and computing, we need to focus on simulation R&D. 17 Summary

18. Acknowledgement Dr. Soo-hyeon Nam Dr. Soon Yung Jun Prof. Weonjong Lee 18