Università di Pisa
Sistema bibliotecario di ateneo

Targeting multi cores by structured programming and data flow

Aldinucci, Marco and Anardu, L and Danelutto, Marco and Kilpatrick, Peter and Torquati, Massimo (2011) Targeting multi cores by structured programming and data flow. Technical Report del Dipartimento di Informatica . Università di Pisa, Pisa, IT.

[img] Other (GZip)
Available under License Creative Commons Attribution No Derivatives.

Download (389Kb)


    Data flow techniques have been around since the early ’70s when they were used in compilers for sequential languages. Shortly after their intro- duction they were also considered as a possible model for parallel comput- ing, although the impact here was limited. Recently, however, data flow has been identified as a candidate for efficient implementation of various programming models on multi-core architectures. In most cases, however, the burden of determining data flow “macro” instructions is left to the programmer, while the compiler/run time system manages only the ef- ficient scheduling of these instructions. We discuss a structured parallel programming approach supporting automatic compilation of programs to macro data flow and we show experimental results demonstrating the fea- sibility of the approach and the efficiency of the resulting “object” code on different classes of state-of-the-art multi-core architectures. The ex- perimental results use different base mechanisms to implement the macro data flow run time support, from plain pthreads with condition variables to more modern and effective lock- and fence-free parallel frameworks. Experimental results comparing efficiency of the proposed approach with those achieved using other, more classical parallel frameworks are also presented.

    Item Type: Book
    Uncontrolled Keywords: macro data flow, structured programming, multi-core, shared mem- ory, lock-free queues
    Subjects: Area01 - Scienze matematiche e informatiche > INF/01 - Informatica
    Divisions: Dipartimenti (until 2012) > DIPARTIMENTO DI INFORMATICA
    Depositing User: dott.ssa Sandra Faita
    Date Deposited: 03 Dec 2014 18:13
    Last Modified: 03 Dec 2014 18:13
    URI: http://eprints.adm.unipi.it/id/eprint/2279

    Repository staff only actions

    View Item