Abstract
OpenMP has evolved recently towards expressing unstructured parallelism, targeting the parallelization of a broader range of applications in the current multicore era. Homogeneous multicore architectures from major vendors have become mainstream, but with clear indications that a better performance/power ratio can be achieved using more specialized hardware (accelerators), such as SSE-based units or GPUs, clearly deviating from the easy-to-understand shared-memory homogeneous architectures. This paper investigates if OpenMP could still survive in this new scenario and proposes a possible way to extend the current specification to reasonably integrate heterogeneity while preserving simplicity and portability. The paper leverages on a previous proposal that extended tasking with dependencies. The runtime is in charge of data movement, tasks scheduling based on these data dependencies and the appropriate selection of the target accelerator depending on system configuration and resource availability.
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Seiler, L., Carmean, D., Sprangle, E., Forsyth, T., Abrash, M., Dubey, P., Junkins, S., Lake, A., Sugerman, J., Cavin, R., Espasa, R., Grochowski, E., Juan, T., Hanrahan, P.: Larrabee: a many-core x86 architecture for visual computing. ACM Trans. Graph. 27(3), 1–15 (2008)
AMD Corporation. AMD Fussion
Pham, D., Asano, S., Bolliger, M., Day, M.N., Hofstee, H.P., Johns, C., Kahle, J., et al.: The Design and Implementation of a First-Generation Cell Processor. In: IEEE International Solid-State Circuits Conference, ISSCC 2005 (2005)
NVIDIA corporation. NVIDIA CUDA Compute Unified Device Architecture Version 2.0 (2008)
RapidMind. RapidMind Multi-core Development Platform, http://www.rapidmind.com/pdfs/RapidmindDatasheet.pdf
Knight, T.J., Park, J.Y., Ren, M., Houston, M., Erez, M., Fatahalian, K., Aiken, A., Dally, W.J., Hanrahan, P.: Compilation for explicitly managed memory hierarchies. In: Proceedings of the 2007 ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (2007)
Linderman, M.D., Collins, J.D., Wang, H., Meng, T.H.: Merge: a programming model for heterogeneous multi-core systems. In: ASPLOS XIII: Proceedings of the 13th international conference on Architectural support for programming languages and operating systems, pp. 287–296 (2008)
Bellens, P., Perez, J.M., Badia, R.M., Labarta, J.: CellSs: a programming model for the Cell BE architecture. In: SC 2006: Proceedings of the 2006 ACM/IEEE conference on Supercomputing (2006)
Dolbeau, R., Bihan, S., Bodin, F.: HMPP: A hybrid multi-core parallel programming environment. In: First Workshop on General Purpose Processing on Graphics Processing Units (October 2007)
O’brien, K., O’brien, K., Sura, Z., Chen, T., Zhang, T.: Supporting OpenMP on Cell. International Workshop on OpenMP 2007, International Journal of Parallel Programming 36(3), 289–311 (2008)
The Portland Group. PGI Fortran and C Accelerator Compilers and Programming Model Technology Preview
Lee, S., Min, S.-J., Eigenmann, R.: OpenMP to GPGPU: A compiler framework for automatic translation and optimization. In: Symposium on Principles and Practice of Parallel Programming (PPoPP 2009) (February 2009)
Duran, A., Pérez, J.M., Ayguadé, E., Badia, R.M., Labarta, J.: Extending the OpenMP tasking model to allow dependent tasks. In: Eigenmann, R., de Supinski, B.R. (eds.) IWOMP 2008. LNCS, vol. 5004, pp. 111–122. Springer, Heidelberg (2008)
Martorell, X., Ramirez, A., Carpenter, P., Rodenas, D., Ayguade, E.: Streaming machine description and programming model. In: Proceedings of the 7th International Symposium on Systems, Architectures, Modeling and Simulation (SAMOS), pp. 107–116 (2007)
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Ayguade, E. et al. (2009). A Proposal to Extend the OpenMP Tasking Model for Heterogeneous Architectures. In: Müller, M.S., de Supinski, B.R., Chapman, B.M. (eds) Evolving OpenMP in an Age of Extreme Parallelism. IWOMP 2009. Lecture Notes in Computer Science, vol 5568. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02303-3_13
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DOI: https://doi.org/10.1007/978-3-642-02303-3_13
Publisher Name: Springer, Berlin, Heidelberg
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