Programming Abstractions and Toolchain for Dataflow Multithreading Architectures

The need to exploit multi-core systems for parallel processing has revived the concept of dataflow. In particular, the dataflow multithreading architectures have proven to be good candidates for these systems. In this work we propose an abstraction layer that enables compiling and running a program...

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Bibliographic Details
Published in2009 Eighth International Symposium on Parallel and Distributed Computing pp. 107 - 114
Main Authors Stavrou, K., Pavlou, D., Nikolaides, M., Petrides, P., Evripidou, P., Trancoso, P., Popovic, Z., Giorgi, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
compiler directives
Computer architecture
Computer science
Data engineering
dataflow
Distributed computing
Multithreading
Parallel processing
Parallel programming
preprocessing
Program processors
Programming profession
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Summary:The need to exploit multi-core systems for parallel processing has revived the concept of dataflow. In particular, the dataflow multithreading architectures have proven to be good candidates for these systems. In this work we propose an abstraction layer that enables compiling and running a program written for an abstract dataflow multithreading architecture on different implementations. More specifically, we present a set of compiler directives that provide the programmer with the means to express most types of dependencies between code segments. In addition, we present the corresponding toolchain that transforms this code into a form that can be compiled for different implementations of the model. As a case study for this work, we present the usage of the toolchain for the TFlux and DTA architectures.
ISBN:0769536808
9780769536804
ISSN:2379-5352
DOI:10.1109/ISPDC.2009.35