Abstract
With the approaching of the many-core era, it becomes more and more difficult for a single OpenMP application to efficiently utilize all the available processor cores. On the other hand, the available cores become more than necessary for some applications. We believe executing multiple OpenMP applications concurrently will be a common usage model in the future. In this model, how threads are scheduled on the cores are important as cores are asymmetric. We have designed and implemented a prototype scheduler, SWOMPS, to help schedule the threads of all the concurrent applications system-widely. The scheduler makes its decision based on underlying hardware configuration as well as the hints of scheduling preference of each application provided by users. Experiment evaluation shows SWOMPS is quite efficient in improving the performance.
With the help of SWOMPS, we compared exclusive running one application and concurrent running multiple applications in term of system throughput and individual application performance. In various experimental comparisons, concurrent execution outperforms in throughput, meanwhile the performance slowdown of individual applications in concurrent execution is reasonable.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chapman, B.M., Huang, L.: Enhancing OpenMP and its implementation for programming multicore systems. In: Bischof, C.H., Bücker, H.M., Gibbon, P., Joubert, G.R., Lippert, T., Mohr, B., Peters, F.J. (eds.) PARCO. Advances in Parallel Computing, vol. 15, pp. 3–18. IOS Press, Amsterdam (2007)
Noronha, R., Panda, D.K.: Improving scalability of OpenMP applications on multi-core systems using large page support. In: IPDPS, pp. 1–8. IEEE, Los Alamitos (2007)
Thibault, S., Broquedis, F., Goglin, B., Namyst, R., Wacrenier, P.A.: An efficient OpenMP runtime system for hierarchical architectures. In: Chapman, B., Zheng, W., Gao, G.R., Sato, M., Ayguadé, E., Wang, D. (eds.) IWOMP 2007. LNCS, vol. 4935, pp. 161–172. Springer, Heidelberg (2008)
Terboven, C., an Mey, D., Schmidl, D., Jin, H., Reichstein, T.: Data and thread affinity in OpenMP programs. In: MAW ’08: Proceedings of the 2008 workshop on Memory access on future processors, pp. 377–384. ACM, New York (2008)
Broquedis, F., Diakhaté, F., Thibault, S., Aumage, O., Namyst, R., Wacrenier, P.A.: Scheduling dynamic OpenMP applications over multicore architectures. In: Eigenmann, R., de Supinski, B.R. (eds.) IWOMP 2008. LNCS, vol. 5004, pp. 170–180. Springer, Heidelberg (2008)
Broquedis, F., Furmento, N., Goglin, B., Namyst, R., Wacrenier, P.A.: Dynamic task and data placement over numa architectures: An OpenMP runtime perspective. In: Müller, M.S., de Supinski, B.R., Chapman, B.M. (eds.) IWOMP 2009. LNCS, vol. 5568, pp. 79–92. Springer, Heidelberg (2009)
Hanawa, T., Sato, M., Lee, J., Imada, T., Kimura, H., Boku, T.: Evaluation of multicore processors for embedded systems by parallel benchmark program using OpenMP. In: Müller, M.S., de Supinski, B.R., Chapman, B.M. (eds.) IWOMP 2009. LNCS, vol. 5568, pp. 15–27. Springer, Heidelberg (2009)
Terboven, C., an Mey, D., Sarholz, S.: OpenMP on multicore architectures. In: Chapman, B., Zheng, W., Gao, G.R., Sato, M., Ayguadé, E., Wang, D. (eds.) IWOMP 2007. LNCS, vol. 4935, pp. 54–64. Springer, Heidelberg (2008)
Curtis-Maury, M., Ding, X., Antonopoulos, C.D., Nikolopoulos, D.S.: An evaluation of OpenMP on current and emerging multithreaded/multicore processors. In: Mueller, M.S., Chapman, B.M., de Supinski, B.R., Malony, A.D., Voss, M. (eds.) IWOMP 2005 and IWOMP 2006. LNCS, vol. 4315, pp. 133–144. Springer, Heidelberg (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yan, J., He, J., Han, W., Chen, W., Zheng, W. (2010). How OpenMP Applications Get More Benefit from Many-Core Era. In: Sato, M., Hanawa, T., Müller, M.S., Chapman, B.M., de Supinski, B.R. (eds) Beyond Loop Level Parallelism in OpenMP: Accelerators, Tasking and More. IWOMP 2010. Lecture Notes in Computer Science, vol 6132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13217-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-13217-9_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13216-2
Online ISBN: 978-3-642-13217-9
eBook Packages: Computer ScienceComputer Science (R0)