Abstract
We present a C++ template run-time library, Promoter, and discuss run-time support for data-parallel applications. The Promoter run-time library provides a uniform framework for data-parallel applications, covering a broad spectrum of granularity, regularity and dynamicity. It supports user-defined data structures ranging from dense to sparse arrays, regular to irregular index structures and data distributions. The object-oriented design and implementation of the Promoter run-time library not only provides an easy data-parallel programming environment, but also leads to an efficient implementation of data-parallel applications through object reuse and object specialization.
This work is supported by the Real World Computing Partnership, Japan.
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References
C. Chang, J. Saltz, and A. Sussman. CHAOS++: A runtime library for supporting distributed dynamic data structure. Technical Report CRPC-TR95624, Center for Res. on Parallel Computation, Rice University, nov 1995.
W. K. Giloi, M. Kessler, and A. Schramm. PROMOTER: A high level object-parallel programming language. In Proc. Int. Conf. on High Performance Computing, New Delhi, India, dec 1995.
A. A. Chien and J. Dolby. The Illinois Concert system: A problem-solving environment for irregular applications. In Proc. DAGS’94, Symp. on Parallel Computation and Problem Solving Environments, 1994.
L. R. Larus. A large-grain, object-oriented data-parallel programming language. In U. Banerjee, A. Nicolau D. Gelernter, and D. Padua, editors, Languages and Compilers for Parallel Computing (5th International Workshop), pages 326–341. Springer-Verlag, aug 1993.
A. Malony, B. Mohr, D. Beckman, D. Gannon, S. Yang, F. Bodin, and S. Kesavan. A parallel C++ runtime system for scalable parallel systems. In Proc. Supercomputing’ 93, pages 140–152. IEEE CS Press, nov 1993.
S. Matsuoka, A. Nikami, H. Ogawa, and Y. Ishikawa. Towards a parallel C++ programming language based on commodity object-oriented technologies. In Proc. ISCOPE’97, pages 81–88. Springer-Verlag, dec 1997.
G. HPC. HPC++ white paper. Technical Report CRPC-TR95633, Ctr. for Res. on Parallel Computation, Rice University, 1995.
J.V.W. Reynders et al. POOMA: A framework for scientific simulation on parallel architectures. In Gregory V. Wilson and Paul Lu, editors, Parallel Programming using C++, pages 553–594. MIT Press, 1996.
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© 1998 Springer-Verlag Berlin Heidelberg
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Bi, H., Kessler, M., Wilhelmi, M. (1998). Object-Oriented Run-Time Support for Data-Parallel Applications. In: Caromel, D., Oldehoeft, R.R., Tholburn, M. (eds) Computing in Object-Oriented Parallel Environments. ISCOPE 1998. Lecture Notes in Computer Science, vol 1505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49372-7_18
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DOI: https://doi.org/10.1007/3-540-49372-7_18
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