Tasklettes - A Fine Grained Parallelism for Ada on Multicores

The widespread use of multi-CPU computers is challenging programming languages, which need to adapt to be able to express potential parallelism at the language level. In this paper we propose a new model for fine grained parallelism in Ada, putting forward a syntax based on aspects, and the corresponding semantics to integrate this model with the existing Ada tasking capabilities. We also propose a standard interface and show how it can be extended by the user or library writers to implement their own parallelization strategies. © CISTER Research Center www.cister.isep.ipp.pt 1 Tasklettes – a Fine Grained Parallelism for Ada on Multicores Stephen Michell Brad Moore Luís Miguel Pinho 1 Maurya Software Inc, Canada, [email protected] 2 General Dynamics, Canada, [email protected] 3 CISTER/INESC-TEC, ISEP, Polytechnic Institute of Porto, Portugal, [email protected] Abstract. The widespread use of multi-CPU computers is challenging programming languages, which need to adapt to be able to express potential parallelism at the language level. In this paper we propose a new model for fine grained parallelism in Ada, putting forward a syntax based on aspects, and the corresponding semantics to integrate this model with the existing Ada tasking capabilities. We also propose a standard interface and show how it can be extended by the user or library writers to implement their own parallelization strategies. The widespread use of multi-CPU computers is challenging programming languages, which need to adapt to be able to express potential parallelism at the language level. In this paper we propose a new model for fine grained parallelism in Ada, putting forward a syntax based on aspects, and the corresponding semantics to integrate this model with the existing Ada tasking capabilities. We also propose a standard interface and show how it can be extended by the user or library writers to implement their own parallelization strategies.