Abstract
Aeroacoustics simulations leverage the tremendous computational power of today’s supercomputers, e.g., to predict the noise emissions of airplanes. The emergence of GPUs that are usable through directive-based programming models like OpenACC promises a cost-efficient solution for flow-induced noise simulations with respect to hardware expenditure and development time. However, OpenACC’s capabilities for real-world C++ codes have been scarcely investigated so far and software costs are rarely evaluated and modeled for this kind of high-performance projects. In this paper, we present our OpenACC parallelization of ZFS, an aeroacoustics simulation framework written in C++, and its early performance results. From our implementation work, we derive common pitfalls and lessons-learned for real-world C++ codes using OpenACC. Furthermore, we borrow software cost estimation techniques from software engineering to evaluate the development efforts needed in a directive-based HPC environment. We discuss applicability and challenges of the popular COCOMO II model applied to the parallelization of ZFS.
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Notes
- 1.
The High-Q Club, http://www.fz-juelich.de/ias/jsc/EN/Expertise/High-Q-Club/ZFS/_node.html.
References
Blair, S., Albing, C., Grund, A., Jocksch, A.: Accelerating an MPI lattice Boltzmann code using OpenACC. In: Proceedings of the Second Workshop on Accelerator Programming Using Directives, WACCPD 2015, pp. 3:1–3:9. ACM, New York (2015)
Boehm, B.: Anchoring the software process. IEEE Softw. 13(4), 73–82 (1996)
Boehm, B., Abts, C., Brown, A.W., Chulani, S., Clark, B., Horowitz, E., Madachy, R., Reifer, D., Steece, B.: COCOMO II model definition manual, version 2.1. Technical report, University of Southern California (2000)
Boehm, B., Abts, C., Chulani, S.: Software development cost estimation approaches – a survey. Ann. Softw. Eng. 10(1), 177–205 (2000)
Boehm, B., Clark, B., Horowitz, E., Westland, C., Madachy, R., Selby, R.: Cost models for future software life cycle processes: COCOMO 2.0. Ann. Softw. Eng. 1(1), 57–94 (1995)
Boehm, B.W., Madachy, R., Steece, B., et al.: Software Cost Estimation with Cocomo II with CDROM. Prentice Hall PTR, Englewood Cliffs (2000)
Carpenter, M., Kennedy, C.: Fourth-order 2n-storage Runge-Kutta schemes. NASA Technical Memorandum 109112, pp. 871–885 (1994)
Dongarra, J., Graybill, R., Harrod, W., Lucas, R., Lusk, E., Luszczek, P., Mcmahon, J., Snavely, A., Vetter, J., Yelick, K., Alam, S., Campbell, R., Carrington, L., Chen, T.Y., Khalili, O., Meredith, J., Tikir, M.: DARPA’s HPCS program: history, models, tools, languages. In: Advances in COMPUTERS High Performance Computing, Advances in Computers, vol. 72, pp. 1–100. Elsevier, Amsterdam (2008)
Ebcioglu, K., Sarkar, V., El-Ghazawi, T., Urbanic, J., Center, P.: An experiment in measuring the productivity of three parallel programming languages. In: Workshop on Productivity and Performance in High-End Computing (P-PHEC), pp. 30–36 (2006)
Ewert, R., Schröder, W.: Acoustic perturbation equations based on flow decomposition via source filtering. J. Comput. Phys. 188(2), 365–398 (2003)
Funk, A., Basili, V., Hochstein, L., Kepner, J.: Application of a development time productivity metric to parallel software development. In: Proceedings of the Second International Workshop on Software Engineering for High Performance Computing System Applications, pp. 8–12. ACM (2005)
German Science Foundation (DFG): COCOMO II Cost Estimation Questionnaire (2000)
Hindenlang, F., Gassner, G., Altmann, C., Beck, A., Staudenmaier, M., Munz, C.D.: Explicit discontinuous Galerkin methods for unsteady problems. Comput. Fluids 61, 86–93 (2012)
Hochstein, L., Carver, J., Shull, F., Asgari, S., Basili, V., Hollingsworth, J.K., Zelkowitz, M.V.: Parallel programmer productivity: a case study of novice parallel programmers. In: Proceedings of the ACM/IEEE SC 2005 Conference on Supercomputing, pp. 35–35 (2005)
Hochstein, L., Basili, V.R., Zelkowitz, M.V., Hollingsworth, J.K., Carver, J.: Combining self-reported and automatic data to improve programming effort measurement. In: Proceedings of the 10th European Software Engineering Conference Held Jointly with 13th ACM SIGSOFT International Symposium on Foundations of Software Engineering, ESEC/FSE-13, pp. 356–365. ACM, New York (2005)
Hwu, W.M., Chang, L.W., Kim, H.S., Dakkak, A., Hajj, I.E.: Transitioning HPC software to exascale heterogeneous computing. In: Computational Electromagnetics International Workshop (CEM), 2015, pp. 1–2 (2015)
Jorgensen, M., Shepperd, M.: A systematic review of software development cost estimation studies. IEEE Trans. Softw. Eng. 33(1), 33–53 (2007)
Kepner, J.: High performance computing productivity model synthesis. Int. J. High Perform. Comput. Appl. 18(4), 505–516 (2004)
Kepner, J.: HPC productivity: an overarching view. Int. J. High Perform. Comput. Appl. 18(4), 393–397 (2004)
Kraus, J., Schlottke, M., Adinetz, A., Pleiter, D.: Accelerating a C++ CFD code with OpenACC. In: Proceedings of the First Workshop on Accelerator Programming Using Directives, pp. 47–54. IEEE Press (2014)
Lee, S., Vetter, J.S.: Early evaluation of directive-based GPU programming models for productive exascale computing. In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, SC 2012, pp. 23:1–23:11. IEEE Computer Society Press, Los Alamitos (2012)
Levesque, J.M., Sankaran, R., Grout, R.: Hybridizing s3d into an exascale application using OpenACC: an approach for moving to multi-petaflops and beyond. In: 2012 International Conference for High Performance Computing, Networking, Storage and Analysis (SC), pp. 1–11 (2012)
Lintermann, A., Meinke, M., Schröder, W.: Fluid mechanics based classification of the respiratory efficiency of several nasal cavities. Comput. Biol. Med. 43(11), 1833–1852 (2013)
NVIDIA: Parallel Forall - OpenACC: Directives for GPUs (2012). https://devblogs.nvidia.com/parallelforall/openacc-directives-gpus/
Peng, I.B., Markidis, S., Vaivads, A., Vencels, J., Deca, J., Lapenta, G., Hart, A., Laure, E.: Acceleration of a particle-in-cell code for space plasma simulations with OpenACC. In: EGU General Assembly Conference Abstracts, vol. 17, p. 1276 (2015)
Perry, D.E., Staudenmayer, N.A., Votta, L.G.: Understanding and improving time usage in software development. In: Trends in Software: Software Process, vol. 5, pp. 111–135. Wiley, New York (1996)
Pogorelov, A., Meinke, M., Schröder, W.: Cut-cell method based large-eddy simulation of tip-leakage flow. Phys. Fluids 27(7), 075106 (2015)
Schlottke, M., Cheng, H.J., Lintermann, A., Meinke, M., Schröder, W.: A direct-hybrid method for computational aeroacoustics. AIAA Paper 2015-3133 (2015)
Schneiders, L., Günther, C., Meinke, M., Schröder, W.: An efficient conservative cut-cell method for rigid bodies interacting with viscous compressible flows. J. Comput. Phys. 311, 62–86 (2016)
Sharma, N., Bajpai, A., Litoriya, R.: A comparison of software cost estimation methods: a survey. Int. J. Comput. Sci. Appl. 1(3), 121–127 (2012)
The Green 500: The Green500 List - November 2015 (2015). http://www.green500.org/lists/green201511
Wienke, S., Iliev, H., an Mey, D., Müller, M.S.: Modeling the productivity of HPC systems on a computing center scale. In: Kunkel, J.M., Ludwig, T. (eds.) ISC High Performance 2015. LNCS, vol. 9137, pp. 358–375. Springer, Heidelberg (2015)
Wienke, S., an Mey, D., Müller, M.S.: Accelerators for technical computing: is it worth the pain? A TCO perspective. In: Kunkel, J.M., Ludwig, T., Meuer, H.W. (eds.) ISC 2013. LNCS, vol. 7905, pp. 330–342. Springer, Heidelberg (2013)
Wienke, S., Miller, J., Schulz, M., Müller, M.S.: Development effort estimation in HPC. In: SC 2016: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Computer Society (2016)
Wienke, S., Springer, P., Terboven, C., an Mey, D.: OpenACC — first experiences with real-world applications. In: Kaklamanis, C., Papatheodorou, T., Spirakis, P.G. (eds.) Euro-Par 2012. LNCS, vol. 7484, pp. 859–870. Springer, Heidelberg (2012)
Williams, S., Waterman, A., Patterson, D.: Roofline: an insightful visual performance model for multicore architectures. Commun. ACM 52(4), 65–76 (2009)
Wolfe, M.: OpenACC for Multicore CPUs (2015). http://www.pgroup.com/lit/articles/insider/v6n3a1.htm
Xia, Y., Lou, J., Luo, H., Edwards, J., Mueller, F.: OpenACC acceleration of an unstructured CFD solver based on a reconstructed discontinuous Galerkin method for compressible flows. Int. J. Numer. Meth. Fluids 78(3), 123–139 (2015)
Xu, R., Chandrasekaran, S., Chapman, B.: Exploring programming multi-GPUs using OpenMP and OpenACC-based hybrid model. In: 2013 IEEE 27th International Parallel and Distributed Processing Symposium Workshops PhD Forum (IPDPSW), pp. 1169–1176 (2013)
Zelkowitz, M., Basili, V., Asgari, S., Hochstein, L., Hollingsworth, J., Nakamura, T.: Measuring productivity on high performance computers. In: IEEE International Symposium on Software Metrics 2005, p. 6 (2005)
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Nicolini, M., Miller, J., Wienke, S., Schlottke-Lakemper, M., Meinke, M., Müller, M.S. (2016). Software Cost Analysis of GPU-Accelerated Aeroacoustics Simulations in C++ with OpenACC. In: Taufer, M., Mohr, B., Kunkel, J. (eds) High Performance Computing. ISC High Performance 2016. Lecture Notes in Computer Science(), vol 9945. Springer, Cham. https://doi.org/10.1007/978-3-319-46079-6_36
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