Enlarging the Scope of Vector-Based Computations: Extending Fortran 90 by Nested Data Parallelism

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http://doi.ieeecomputersociety.org/10.1109/APDC.1997.574015

1997 Advances in Parallel and Distrib ...

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	Similar Articles Articles by K. T. P. Au Articles by M. M. T. Chakravartyt Articles by J. Darlington Articles by Y. Guo Articles by S. Jähnichen Articles by M. Köhler Articles by G. Kellert Articles by W. Pfannenstielt Articles by M. Simons

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	K. T. P. Au, M. M. T. Chakravartyt, J. Darlington, Y. Guo, S. Jähnichen, M. Köhler, G. Kellert, W. Pfannenstielt, M. Simons, "Enlarging the Scope of Vector-Based Computations: Extending Fortran 90 by Nested Data Parallelism," Advances in Parallel and Distributed Computing Conference, pp. 66, 1997 Advances in Parallel and Distributed Computing Conference (APDC '97), 1997.

	BibTex	x
	@article{ 10.1109/APDC.1997.574015, author = {K. T. P. Au and M. M. T. Chakravartyt and J. Darlington and Y. Guo and S. Jähnichen and M. Köhler and G. Kellert and W. Pfannenstielt and M. Simons}, title = {Enlarging the Scope of Vector-Based Computations: Extending Fortran 90 by Nested Data Parallelism}, journal ={Advances in Parallel and Distributed Computing Conference}, volume = {0}, year = {1997}, isbn = {0-8186-7876-3}, pages = {66}, doi = {http://doi.ieeecomputersociety.org/10.1109/APDC.1997.574015}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

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	TY - CONF JO - Advances in Parallel and Distributed Computing Conference TI - Enlarging the Scope of Vector-Based Computations: Extending Fortran 90 by Nested Data Parallelism SN - 0-8186-7876-3 SP EP A1 - K. T. P. Au, A1 - M. M. T. Chakravartyt, A1 - J. Darlington, A1 - Y. Guo, A1 - S. Jähnichen, A1 - M. Köhler, A1 - G. Kellert, A1 - W. Pfannenstielt, A1 - M. Simons, PY - 1997 KW - data structures KW - nested data parallelism KW - Fortran 90 KW - irregular data structures KW - control parallelism KW - divide-and-conquer algorithms VL - 0 JA - Advances in Parallel and Distributed Computing Conference ER -

K. T. P. Au, Dept. of Comput., Imperial Coll. of Sci., Technol. & Med., London, UK

M. M. T. Chakravartyt, Dept. of Comput., Imperial Coll. of Sci., Technol. & Med., London, UK

J. Darlington, Dept. of Comput., Imperial Coll. of Sci., Technol. & Med., London, UK

Y. Guo, Dept. of Comput., Imperial Coll. of Sci., Technol. & Med., London, UK

S. Jähnichen, Dept. of Comput., Imperial Coll. of Sci., Technol. & Med., London, UK

M. Köhler, Dept. of Comput., Imperial Coll. of Sci., Technol. & Med., London, UK

G. Kellert, Dept. of Comput., Imperial Coll. of Sci., Technol. & Med., London, UK

W. Pfannenstielt, Dept. of Comput., Imperial Coll. of Sci., Technol. & Med., London, UK

M. Simons, Dept. of Comput., Imperial Coll. of Sci., Technol. & Med., London, UK

This paper describes the integration of nested data parallelism into Fortran 90. Unlike flat data parallelism, nested data parallelism directly provides means for handling irregular data structures and certain forms of control parallelism, such as divide-and-conquer algorithms thus enabling the programmer to express such algorithms far more naturally. Existing work deals with nested data parallelism in a functional environment, which does help avoid a set of problems, but makes efficient implementations more complicated. Moreover functional languages are not readily accepted by programmers used to languages such as Fortran and C, which are currently predominant in programming parallel machines. In this paper, we introduce the imperative data-parallel language Fortran 90V and give an overview of its implementation.

Index Terms:

data structures, nested data parallelism, Fortran 90, irregular data structures, control parallelism, divide-and-conquer algorithms

Citation:

K. T. P. Au, M. M. T. Chakravartyt, J. Darlington, Y. Guo, S. Jähnichen, M. Köhler, G. Kellert, W. Pfannenstielt, M. Simons, "Enlarging the Scope of Vector-Based Computations: Extending Fortran 90 by Nested Data Parallelism," apdc, pp.66, 1997 Advances in Parallel and Distributed Computing Conference (APDC '97), 1997

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