Execution of dataflow process networks on OpenCL platforms

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

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

17 Sitaatiot (Scopus)

Abstrakti

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.

AlkuperäiskieliEi tiedossa
OtsikkoParallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on
ToimittajatMasoud Daneshtalab, Marco Aldinucci, Ville Leppänen, Johan Lilius, Mats Brorsson
KustantajaIEEE
Sivut618–625
ISBN (painettu)978-1-4799-8492-3
DOI - pysyväislinkit
TilaJulkaistu - 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaEuromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP) - 23rd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2015)
Kesto: 4 maaliskuuta 20156 maaliskuuta 2015

Konferenssi

KonferenssiEuromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
Ajanjakso04/03/1506/03/15

Viittausmuodot