Mainstream parallel array programming on cell

Paul Keir; Paul Cockshott; Andrew Richards

doi:10.1007/978-3-642-29737-3_30

Mainstream parallel array programming on cell

Paul Keir, Paul Cockshott, Andrew Richards

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

14 Downloads (Pure)

Abstract

We present the E# compiler and runtime library for the `F' subset of the Fortran 95 programming language. `F' provides first-class support for arrays, allowing E#
to implicitly evaluate array expressions in parallel using the SPU co-processors of the Cell Broadband Engine. We present performance results from four benchmarks that all demonstrate absolute speedups over equivalent `C' or Fortran
versions running on the PPU host processor. A significant benefit of this straightforward approach is that a serial implementation of any code is always available, providing code longevity, and a familiar development paradigm.

Original language	English
Title of host publication	Euro-Par 2011: Parallel Processing Workshops
Subtitle of host publication	CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29 – September 2, 2011, Revised Selected Papers, Part I
Editors	Michael Alexander, Pasqua D’Ambra, Adam Belloum, George Bosilca, Mario Cannataro, Marco Danelutto, Beniamino Di Martino, Michael Gerndt, Emmanuel Jeannot, Raymond Namyst, Jean Roman, Stephen L. Scott, Jesper Larsson Traff, Geoffroy Vallée, Josef Weidendorfe
Publisher	Springer-Verlag
Pages	260-269
Number of pages	10
Volume	7155
ISBN (Electronic)	978-3-642-29737-3
ISBN (Print)	978-3-642-29736-6
DOIs	https://doi.org/10.1007/978-3-642-29737-3_30
Publication status	Published - 2012
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer-Verlag
ISSN (Print)	0302-9743

Keywords

multicore
parallelism
heterogeneous
array
collection
cell
fortran

Access to Document

10.1007/978-3-642-29737-3_30

HPPC_2011_submission_8Accepted author manuscript, 150 KBLicence: CC BY-ND

Cite this

Keir, P., Cockshott, P., & Richards, A. (2012). Mainstream parallel array programming on cell. In M. Alexander, P. D’Ambra, A. Belloum, G. Bosilca, M. Cannataro, M. Danelutto, B. Di Martino, M. Gerndt, E. Jeannot, R. Namyst, J. Roman, S. L. Scott, J. L. Traff, G. Vallée, & J. Weidendorfe (Eds.), Euro-Par 2011: Parallel Processing Workshops: CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29 – September 2, 2011, Revised Selected Papers, Part I (Vol. 7155, pp. 260-269). (Lecture Notes in Computer Science). Springer-Verlag. https://doi.org/10.1007/978-3-642-29737-3_30

Keir, Paul ; Cockshott, Paul ; Richards, Andrew. / Mainstream parallel array programming on cell. Euro-Par 2011: Parallel Processing Workshops: CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29 – September 2, 2011, Revised Selected Papers, Part I. editor / Michael Alexander ; Pasqua D’Ambra ; Adam Belloum ; George Bosilca ; Mario Cannataro ; Marco Danelutto ; Beniamino Di Martino ; Michael Gerndt ; Emmanuel Jeannot ; Raymond Namyst ; Jean Roman ; Stephen L. Scott ; Jesper Larsson Traff ; Geoffroy Vallée ; Josef Weidendorfe. Vol. 7155 Springer-Verlag, 2012. pp. 260-269 (Lecture Notes in Computer Science).

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abstract = "We present the E# compiler and runtime library for the `F' subset of the Fortran 95 programming language. `F' provides first-class support for arrays, allowing E#to implicitly evaluate array expressions in parallel using the SPU co-processors of the Cell Broadband Engine. We present performance results from four benchmarks that all demonstrate absolute speedups over equivalent `C' or Fortranversions running on the PPU host processor. A significant benefit of this straightforward approach is that a serial implementation of any code is always available, providing code longevity, and a familiar development paradigm.",

keywords = "multicore, parallelism, heterogeneous, array, collection, cell, fortran",

author = "Paul Keir and Paul Cockshott and Andrew Richards",

year = "2012",

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Keir, P, Cockshott, P & Richards, A 2012, Mainstream parallel array programming on cell. in M Alexander, P D’Ambra, A Belloum, G Bosilca, M Cannataro, M Danelutto, B Di Martino, M Gerndt, E Jeannot, R Namyst, J Roman, SL Scott, JL Traff, G Vallée & J Weidendorfe (eds), Euro-Par 2011: Parallel Processing Workshops: CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29 – September 2, 2011, Revised Selected Papers, Part I. vol. 7155, Lecture Notes in Computer Science, Springer-Verlag, pp. 260-269. https://doi.org/10.1007/978-3-642-29737-3_30

Mainstream parallel array programming on cell. / Keir, Paul; Cockshott, Paul; Richards, Andrew.

Euro-Par 2011: Parallel Processing Workshops: CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29 – September 2, 2011, Revised Selected Papers, Part I. ed. / Michael Alexander; Pasqua D’Ambra; Adam Belloum; George Bosilca; Mario Cannataro; Marco Danelutto; Beniamino Di Martino; Michael Gerndt; Emmanuel Jeannot; Raymond Namyst; Jean Roman; Stephen L. Scott; Jesper Larsson Traff; Geoffroy Vallée; Josef Weidendorfe. Vol. 7155 Springer-Verlag, 2012. p. 260-269 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Mainstream parallel array programming on cell

AU - Keir, Paul

AU - Cockshott, Paul

AU - Richards, Andrew

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N2 - We present the E# compiler and runtime library for the `F' subset of the Fortran 95 programming language. `F' provides first-class support for arrays, allowing E#to implicitly evaluate array expressions in parallel using the SPU co-processors of the Cell Broadband Engine. We present performance results from four benchmarks that all demonstrate absolute speedups over equivalent `C' or Fortranversions running on the PPU host processor. A significant benefit of this straightforward approach is that a serial implementation of any code is always available, providing code longevity, and a familiar development paradigm.

AB - We present the E# compiler and runtime library for the `F' subset of the Fortran 95 programming language. `F' provides first-class support for arrays, allowing E#to implicitly evaluate array expressions in parallel using the SPU co-processors of the Cell Broadband Engine. We present performance results from four benchmarks that all demonstrate absolute speedups over equivalent `C' or Fortranversions running on the PPU host processor. A significant benefit of this straightforward approach is that a serial implementation of any code is always available, providing code longevity, and a familiar development paradigm.

KW - multicore

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KW - collection

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KW - fortran

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A2 - Di Martino, Beniamino

A2 - Gerndt, Michael

A2 - Jeannot, Emmanuel

A2 - Namyst, Raymond

A2 - Roman, Jean

A2 - Scott, Stephen L.

A2 - Traff, Jesper Larsson

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PB - Springer-Verlag

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Keir P, Cockshott P, Richards A. Mainstream parallel array programming on cell. In Alexander M, D’Ambra P, Belloum A, Bosilca G, Cannataro M, Danelutto M, Di Martino B, Gerndt M, Jeannot E, Namyst R, Roman J, Scott SL, Traff JL, Vallée G, Weidendorfe J, editors, Euro-Par 2011: Parallel Processing Workshops: CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29 – September 2, 2011, Revised Selected Papers, Part I. Vol. 7155. Springer-Verlag. 2012. p. 260-269. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-29737-3_30

Mainstream parallel array programming on cell

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