Simulation of bevel gear cutting with GPGPUs - Performance and productivity

Computer Science - Research and Development

Volumn 26, Issue 3-4, 2011, Pages 165-174

  Wienke, Sandra ^a   Plotnikov, Dmytro ^a   An Mey, Dieter ^a   Bischof, Christian ^a   Hardjosuwito, Ario ^a   Gorgels, Christof ^a   Brecher, Christian ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

CUDA; OpenCL; OpenMP; Parallelization; PGI accelerator; Productivity

Indexed keywords

EID: 80051665317     PISSN: 18652034     EISSN: 18652042     Source Type: Journal    
DOI: 10.1007/s00450-011-0158-0     Document Type: Conference Paper

References (22)

1. BMW AG, Klingelnberg GmbH, ZF Friedrichshafen AG: Application and manufacturing
2. Bordawekar R, Bondhugula U, Rao R (2010) Can CPUs match GPUs on performance with productivity?: Experiences with optimizing a FLOP-intensive application on CPUs and GPU. Tech rep, IBM Res Division
3. Brecher C, Klocke F, Schröder T, Rütjes U (2008) Analysis and simulation of different manufacturing processes for bevel gear cutting. J Adv Mech Des Syst Manuf 2(1):165-172
4. Brecher C, Gorgels C, Hardjosuwito A (2010) Simulation based tool wear analysis in bevel gear cutting. In: International conference on gears, VDI-Berichte, vol 2108.2. VDI Verlag, Düsseldorf, pp 1381-1384
5. Che S, Boyer M, Meng J, Tarjan D, Sheaffer J, Skadron K (2008) A performance study of general-purpose applications on graphics processors using CUDA. J Parallel Distrib Comput 68(10):1370-1380
6. Gharaibeh A, Ripeanu M (2010) Size matters: Space/time tradeoffs to improve GPGPU applications performance. In: Proceedings of the SC'10. IEEE Computer Society, Washington, pp 1-12
7. Griebel M, Zaspel P (2010) A multi-GPU accelerated solver for the three-dimensional two-phase incompressible Navier-Stokes equations. Comput Sci-R & D 25(1):65-73
8. Hacker H, Trinitis C, Weidendorfer J, Brehm M (2011) Considering GPGPU for HPC centers: Is it worth the effort? In: Keller R, Kramer D, Weiss JP (eds) Facing the multicore-challenge. LNCS, vol 6310. Springer, Berlin, pp 118-130
9. Kapinos P, an Mey D (2009) Parallel simulation of bevel gear cutting processes with OpenMP tasks. In: Müller M, de Supinski B, Chapman B (eds) Evolving OpenMP in an age of extreme parallelism. LNCS, vol 5568. Springer, Berlin, pp 1-14
10. Karimi K, Dickson NG, Hamze F (2010) A performance comparison of CUDA and OpenCL. CoRR 1005.2581
11. Khronos OpenCL Working Group (2009) The OpenCL specification, version 1.0.48
12. Kirk DB, Hwu WW (2010) Programming massively parallel processors: A hands-on approach, 1st edn. Morgan Kaufmann, San Mateo
13. Klocke F, Gorgels C, Herzhoff S, Hardjosuwito A (2010) Simulation of bevel gear cutting. In: 3rd WZL gear conference. KAPP NILES, Boulder
14. Komatsu K, Sato K, Arai Y, Koyama K, Takizawa H, Kobayashi H (2010) Evaluating performance and portability of OpenCL programs. In: The fifth international workshop on automatic performance tuning
15. Loh E (2010) The ideal HPC programming language. Commun ACM 53:42-47
16. NVIDIA (2010) CUDA C programming guide, v3.2
17. NVIDIA (2010) OpenCL best practices guide
18. OpenMP Architecture Review Board (2008) OpenMP application program interface, version 3.0
19. Pennycook SJ, Hammond SD, Jarvis SA, Mudalige GR (2010) Performance analysis of a hybrid MPI/CUDA implementation of the NAS-LU benchmark. PMBS 10, in conjunction with SC'10, New Orleans, LA, USA
20. Sanders J, Kandrot E (2010) CUDA by example: An introduction to general-purpose GPU programming, 1st edn. Addison-Wesley, Reading
21. The Portland Group (2010) PGI Fortran & C accelerator programming model, version 1.2
22. Weber T (2009) Optimierung der Rechenzeit bei der Spanungsdickenberechnung für das Kegelradfräsen mittels Grafikkarten. Master's thesis, Aachen University of Applied Sciences