Title :
Extending Vienna Fortran with task parallelism
Author :
Chapman, Barbara ; Mehrotra, Piyush ; van Rosendale, John ; Zima, Hans
Author_Institution :
Inst. for Software Technol. & Parallel Syst., Wien Univ., Austria
Abstract :
Vienna Fortran supports a wide range of data-parallel numerical problems. However, a significant number of scientific and engineering applications are of a multi-disciplinary and heterogeneous nature and thus do not fit well into the data parallel paradigm. In this paper we present new language extensions to fill this gap. Tasks can be spawned as asynchronous activities in a homogeneous or heterogeneous computing environment; they interact by sharing access to Shared Data Abstractions (SDAs). SDAs are an extension of Fortran 90 modules, representing a pool of common data, together with a set of methods for controlled access to these data and a mechanism for providing persistent storage. These extensions support the integration of data and task parallelism and can be used to express task parallel applications in a natural and efficient way
Keywords :
FORTRAN; data structures; parallel architectures; Fortran 90 modules; Shared Data Abstractions; Vienna Fortran; asynchronous activities; data-parallel numerical problems; persistent storage; task parallel applications; task parallelism; Application software; Contracts; Data engineering; NASA; Parallel architectures; Parallel languages; Parallel processing; Radio access networks; Software performance; Space technology;
Conference_Titel :
Parallel and Distributed Systems, 1994. International Conference on
Conference_Location :
Hsinchu
Print_ISBN :
0-8186-6555-6
DOI :
10.1109/ICPADS.1994.590306