Execution of dataflow process networks on OpenCL platforms

Wictor Lund; Sudeep Kanur Chandra Shekar; Johan Ersfolk; Leonidas Tsiopoulos; Johan Lilius; Joakim Haldin; Ulf Falk

doi:10.1109/PDP.2015.29

Execution of dataflow process networks on OpenCL platforms

Wictor Lund, Sudeep Kanur Chandra Shekar, Johan Ersfolk, Leonidas Tsiopoulos, Johan Lilius, Joakim Haldin, Ulf Falk

Informationsteknologi

Forskningsoutput: Kapitel i bok/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

24 Citeringar (Scopus)

Sammanfattning

The trend in computing systems is to combine various kinds of processing elements (PEs) to build more parallel architectures. This trend leads to more heterogeneous computing systems, for which abstractions are needed to efficiently program the systems without increasing the programming cost. This has lead to new programming languages and application program- ming interfaces (APIs). Parallel programming has always been a holy grail in computer science and dataflow programming promises a way to automatically provide parallel constructs for the programmer. This paper provides an approach to translate dataflow process networks (DPNs) into programs running some of the computations on the Open Computing Language (OpenCL) platform, supporting running programs on massively parallel hardware such as graphics processing units (GPUs). We show that certain DPN programs could run very efficiently on data- parallel architectures but also that there are certain patterns in DPN programs that prove problematic.

The trend in computing systems is to combine various kinds of processing elements (PEs) to build more parallel architectures. This trend leads to more heterogeneous computing systems, for which abstractions are needed to efficiently program the systems without increasing the programming cost. This has lead to new programming languages and application programming interfaces (APIs). Parallel programming has always been a holy grail in computer science and dataflow programming promises a way to automatically provide parallel constructs for the programmer. This paper provides an approach to translate dataflow process networks (DPNs) into programs running some of the computations on the Open Computing Language (OpenCL) platform, supporting running programs on massively parallel hardware such as graphics processing units (GPUs). We show that certain DPN programs could run very efficiently on dataparallel architectures but also that there are certain patterns in DPN programs that prove problematic.

Originalspråk	Odefinierat/okänt
Titel på värdpublikation	Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on
Redaktörer	Masoud Daneshtalab, Marco Aldinucci, Ville Leppänen, Johan Lilius, Mats Brorsson
Förlag	IEEE
Sidor	618–625
ISBN (tryckt)	978-1-4799-8492-3
DOI	https://doi.org/10.1109/PDP.2015.29
Status	Publicerad - 2015
MoE-publikationstyp	A4 Artikel i en konferenspublikation
Evenemang	Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP) - 23rd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2015) Varaktighet: 4 mars 2015 → 6 mars 2015

Konferens

Konferens	Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
Period	04/03/15 → 06/03/15

Åtkomst av dokument

10.1109/PDP.2015.29

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7092784

Citera det här

Lund, W., Kanur Chandra Shekar, S., Ersfolk, J., Tsiopoulos, L., Lilius, J., Haldin, J., & Falk, U. (2015). Execution of dataflow process networks on OpenCL platforms. I M. Daneshtalab, M. Aldinucci, V. Leppänen, J. Lilius, & M. Brorsson (Red.), Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on (s. 618–625). IEEE. https://doi.org/10.1109/PDP.2015.29

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abstract = "The trend in computing systems is to combine various kinds of processing elements (PEs) to build more parallel architectures. This trend leads to more heterogeneous computing systems, for which abstractions are needed to efficiently program the systems without increasing the programming cost. This has lead to new programming languages and application program- ming interfaces (APIs). Parallel programming has always been a holy grail in computer science and dataflow programming promises a way to automatically provide parallel constructs for the programmer. This paper provides an approach to translate dataflow process networks (DPNs) into programs running some of the computations on the Open Computing Language (OpenCL) platform, supporting running programs on massively parallel hardware such as graphics processing units (GPUs). We show that certain DPN programs could run very efficiently on data- parallel architectures but also that there are certain patterns in DPN programs that prove problematic. The trend in computing systems is to combine various kinds of processing elements (PEs) to build more parallel architectures. This trend leads to more heterogeneous computing systems, for which abstractions are needed to efficiently program the systems without increasing the programming cost. This has lead to new programming languages and application programming interfaces (APIs). Parallel programming has always been a holy grail in computer science and dataflow programming promises a way to automatically provide parallel constructs for the programmer. This paper provides an approach to translate dataflow process networks (DPNs) into programs running some of the computations on the Open Computing Language (OpenCL) platform, supporting running programs on massively parallel hardware such as graphics processing units (GPUs). We show that certain DPN programs could run very efficiently on dataparallel architectures but also that there are certain patterns in DPN programs that prove problematic.",

author = "Wictor Lund and {Kanur Chandra Shekar}, Sudeep and Johan Ersfolk and Leonidas Tsiopoulos and Johan Lilius and Joakim Haldin and Ulf Falk",

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Lund, W, Kanur Chandra Shekar, S, Ersfolk, J, Tsiopoulos, L, Lilius, J, Haldin, J & Falk, U 2015, Execution of dataflow process networks on OpenCL platforms. i M Daneshtalab, M Aldinucci, V Leppänen, J Lilius & M Brorsson (red), Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on. IEEE, s. 618–625, Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 04/03/15. https://doi.org/10.1109/PDP.2015.29

Execution of dataflow process networks on OpenCL platforms. / Lund, Wictor; Kanur Chandra Shekar, Sudeep; Ersfolk, Johan et al.
Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on. red. / Masoud Daneshtalab; Marco Aldinucci; Ville Leppänen; Johan Lilius; Mats Brorsson. IEEE, 2015. s. 618–625.

Forskningsoutput: Kapitel i bok/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review

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Lund W, Kanur Chandra Shekar S, Ersfolk J, Tsiopoulos L, Lilius J, Haldin J et al. Execution of dataflow process networks on OpenCL platforms. I Daneshtalab M, Aldinucci M, Leppänen V, Lilius J, Brorsson M, redaktörer, Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on. IEEE. 2015. s. 618–625 doi: 10.1109/PDP.2015.29