Automatic Task-based Code Generation for High Performance Domain Specific Embedded Language

Abstract 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 investi-gated the design of such a DSEL – NT2 – providing a Matlab-like syntax for parallel numerical computations inside a C++ library. In this paper, we show how NT2 has been redesigned for shared memory systems in an extensible and portable way. The new NT2design relies on a tiered Parallel Skeleton system built using asynchronous task management and automatic compile-time task-ification 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