Abstract
This paper introduces the Tasking Control API—an API which allows tools, e.g. debuggers, to control the execution of task-based programming models as for instance OpenMP or OmpSs. However, the design of Tasking Control API is sufficiently generic to be applied to any other programming model for asynchronous task parallelization. We call this debugging approach model-centric debugging as opposed to language-centric debugging. The specification of Tasking Control API follows the spirit of the OpenMP Tools Interface to allow simple interoperability or even a future integration of Tasking Control API into the OpenMP Tools Interface.
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Notes
- 1.
The rest of this chapter will use task and dependency instead of task instance and dependency instance, respectively. Similarly, we refer to task-dependency graph as task-graph or graph.
References
Allinea: Allinea ddt: The debugger for c, c++ and f90 threaded and parallel code, http://www.allinea.com/
Augonnet, C., Thibault, S., Namyst, R., Wacrenier, P.A.: Starpu: a unified platform for task scheduling on heterogeneous multicore architectures. In: Proceedings of the 15th International Euro-Par Conference on Parallel Processing, Euro-Par ’09, pp. 863–874. Springer, Berlin (2009)
Augonnet C, Thibault S, Namyst R, Wacrenier PA (2011) Starpu: a unified platform for task scheduling on heterogeneous multicore architectures. Concurr. Comput.: Pract. Exp. 23(2):187–198
Board, T.O.A.R.: The openmp api specification for parallel programming, http://openmp.org/
Brinkmann, S., Gracia, J., Niethammer, C.: Task debugging with temanejo. In: Cheptsov, A., Brinkmann, S., Gracia, J., Resch, M.M., Nagel, W.E. (eds.) Tools for High Performance Computing 2012, pp. 13–21. Springer, Berlin (2013)
Dagum L, Menon R (1998) Openmp: an industry standard api for shared-memory programming. IEEE Comput. Sci. Eng. 5(1):46–55
Duran A, Ayguadé E, Badia RM, Labarta J, Martinell L, Martorell X, Planas J (2011) Ompss: a proposal for programming heterogeneous multi-core architectures. Parallel Process. Lett. 21(02):173–193
Eichenberger, A., Mellor-Crummey, J., Schulz, M., Copty, N., Cownie, J., Dietrich, R., Liu, X., Loh, E., Lorenz, D.: Openmp technical report 2 on the ompt interface, http://openmp.org/mp-documents/ompt-tr2.pdf
Ferrer, R., Planas, J., Bellens, P., Duran, A., Gonzalez, M., Martorell, X., Badia, R.M., Ayguade, E., Labarta, J.: Optimizing the exploitation of multicore processors and gpus with openmp and opencl. In: Proceedings of the 23rd International Conference on Languages and Compilers for Parallel Computing, LCPC’10, pp. 215–229. Springer, Berlin (2011)
Keller, R., Brinkmann, S., Gracia, J., Niethammer, C.: Temanejo: Debugging of thread-based task-parallel programs in starss. In: Brunst, H., Mller, M.S., Nagel, W.E., Resch, M.M. (eds.) Tools for High Performance Computing 2011, pp. 131–137. Springer, Berlin (2012)
Perez, J., Badia, R., Labarta, J.: A dependency-aware task-based programming environment for multi-core architectures. In: Proceedings of the 2008 IEEE International Conference on Cluster Computing, pp. 142–151, September (2008)
Pouget, K., López Cueva, P., Santana, M., Méhaut, J.F.: Interactive debugging of dynamic dataflow embedded applications. In: Proceedings of the 18th International Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS). Boston, Massachusetts, USA, May (2013), held in conjunction of IPDPS
RogueWave: Faster fault isolation, improved memory optimization, and dynamic visualization for your high performance computing apps, http://www.roguewave.com/
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Nachtmann, M., Gracia, J. (2016). Enabling Model-Centric Debugging for Task-Based Programming Models—A Tasking Control Interface. In: Knüpfer, A., Hilbrich, T., Niethammer, C., Gracia, J., Nagel, W., Resch, M. (eds) Tools for High Performance Computing 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-39589-0_12
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