Providing high level tools for parallel programming while sustaining a high level of performance has been a challenge that techniques like Domain Specific Embedded Languages try to solve. In previous works, we investigated the design of such a DSEL -NT 2 -providing a Matlab -like syntax for parallel numerical computations inside a C++ library. In this paper, we show how NT 2 has been redesigned for shared memory systems in an extensible and portable way. The new NT 2 design relies on a tiered Parallel Skeleton system built using asynchronous task management and automatic compile-time taskification of user level code. We describe how this system can operate various shared memory runtimes and evaluate the design by using several benchmarks implementing linear algebra algorithms.

No abstract