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Abstract: . Research on the high-performance implementation of nested data parallelism has, over time, covered a wide range of architectures. Scalar and vector processors as well as shared-memory and distributed memory machines were targeted. We are currently investigating methods to integrate this technology into a single portable compiler back-end. Essential to our approach are two program transformations, attening and calculational fusion, which even out irregular parallelism and increase... (Update)
Context of citations to this paper: More
.... by Blelloch and Sabot [5] It leads to ecient implementations on a range of high performance architectures in both the purely functional [7] and the imperative case [9] Nevertheless, imperative languages face a serious problem here: Flattening is hard to automate in the...
.... library internally maps all collective communication to a small set of one sided communication operations, which makes it highly portable [11]. The combination of attening with array fusion and the communication library that contains only a small core of machine dependent...
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Functional Array Fusion - Chakravarty, Keller (2001) (Correct)
Nepal - Nested Data-Parallelism in Haskell - Chakravarty, Keller, al. (2001) (Correct)
More Types for Nested Data Parallel Programming - Chakravarty, Keller (2000) (Correct)
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3: Programming Parallel Algorithms - Blelloch - 1996
3: On dening application-specic high-level array operations by means of shape-invar.. (context) - Scholz - 1998
3: Flattening trees - Keller, Chakravarty - 1998
BibTeX entry: (Update)
M. M. T. Chakravarty and G. Keller. How portable is nested data parallelism? In Proc. of 6th Annual Australasian Conf. on Parallel And Real-Time Systems, pages 284-299. Springer-Verlag, 1999. http://citeseer.ist.psu.edu/chakravarty99how.html More
@misc{ chakravarty99how,
author = "M. Chakravarty and G. Keller",
title = "How portable is nested data parallelism",
text = "M. M. T. Chakravarty and G. Keller. How portable is nested data parallelism?
In Proc. of 6th Annual Australasian Conf. on Parallel And Real-Time Systems,
pages 284-299. Springer-Verlag, 1999.",
year = "1999",
url = "citeseer.ist.psu.edu/chakravarty99how.html" }
Citations (may not include all citations):324 Deforestation: transforming programs to eliminate trees - Wadler - 1990
257 force calculation algorithm (context) - Barnes, Hut et al. - 1986
206 Vector Models for Data-Parallel Computing (context) - Blelloch - 1990
166 NESL: A nested data-parallel language - Blelloch - 1993
161 A short cut to deforestation - Gill, Launchbury et al. - 1993
130 Implementation of a portable nested data-parallel language - Blelloch, Chatterjee et al. - 1993
90 Programming parallel algorithms - Blelloch - 1996
79 Shortcut deforestation in calculational form - Takano, Meijer - 1995
69 Compiling collection-oriented languages onto massively paral.. - Blelloch, Sabot - 1990
64 Science of Computer Programming (context) - Jay, for - 1995
51 A calculational fusion system HYLO - Onue, Hu et al. - 1997
14 Compiling nested data-parallel programs for shared-memory mu.. (context) - Chatterjee - 1993
11 Scan primitives for vector computers - Chatterjee, Blelloch et al. - 1990
9 Transformation-based Implementation of Nested Data Paralleli.. (context) - Keller - 1999
9 nested parallelism in C (context) - Chakravarty, Schrer et al. - 1995
7 Flattening trees - Keller, Chakravarty - 1998
5 Expressing irregular computations in modern Fortran dialects - Chatterjee, Prins et al. - 1998
1 Nepal compiler & SCL library (context) - Project - 1999
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Lazy Lexing is Fast - Chakravarty (1999) (Correct)
Flattening Trees - Keller, Chakravarty (1998) (Correct)
Enlarging the Scope of Vector-Based Computations.. - Au, Chakravarty.. (1997) (Correct)
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