International audienceIn this paper, we present a new runtime code generation technique for speculative loop optimization and parallelization, that allows to generate on-the-fly codes resulting from any polyhedral optimizing transformation of loop nests, such as tiling, skewing, fission, fusion or interchange, without introducing a penalizing time overhead. The proposed strategy is based on the generation of code bones at compile-time, which are parametrized code snippets either dedicated to speculation management or to computations of the original target program. These code bones are then instantiated and assembled at runtime to constitute the speculatively-optimized code, as soon as an optimizing polyhedral transformation has been determi...
International audienceRuntime loop optimization and speculative execution are becoming more and more...
The polyhedral model is known to be a powerful framework to reason about high level loop transformat...
In this thesis, we present our contributions to APOLLO (Automatic speculative POLyhedral Loop Optimi...
International audienceIn this paper, we present a new runtime code generation technique for speculat...
International audienceIn this paper, we present a new runtime code generation technique for speculat...
International audienceIn this paper, we present a new runtime code generation technique for speculat...
In this thesis, we present our contributions to APOLLO: an automatic parallelization compiler that c...
In this thesis, we present our contributions to APOLLO: an automatic parallelization compiler that c...
In this thesis, we present our contributions to APOLLO: an automatic parallelization compiler that c...
International audienceA few weeks ago, we were glad to announce the first release of Apollo, the Aut...
In this thesis, we present our contributions to APOLLO: an automatic parallelization compiler that c...
International audienceWe propose a framework based on an original generation and use of algorithmic ...
International audienceWe propose a framework based on an original generation and use of algorithmic ...
International audienceRuntime loop optimization and speculative execution are becoming more and more...
International audienceRuntime loop optimization and speculative execution are becoming more and more...
International audienceRuntime loop optimization and speculative execution are becoming more and more...
The polyhedral model is known to be a powerful framework to reason about high level loop transformat...
In this thesis, we present our contributions to APOLLO (Automatic speculative POLyhedral Loop Optimi...
International audienceIn this paper, we present a new runtime code generation technique for speculat...
International audienceIn this paper, we present a new runtime code generation technique for speculat...
International audienceIn this paper, we present a new runtime code generation technique for speculat...
In this thesis, we present our contributions to APOLLO: an automatic parallelization compiler that c...
In this thesis, we present our contributions to APOLLO: an automatic parallelization compiler that c...
In this thesis, we present our contributions to APOLLO: an automatic parallelization compiler that c...
International audienceA few weeks ago, we were glad to announce the first release of Apollo, the Aut...
In this thesis, we present our contributions to APOLLO: an automatic parallelization compiler that c...
International audienceWe propose a framework based on an original generation and use of algorithmic ...
International audienceWe propose a framework based on an original generation and use of algorithmic ...
International audienceRuntime loop optimization and speculative execution are becoming more and more...
International audienceRuntime loop optimization and speculative execution are becoming more and more...
International audienceRuntime loop optimization and speculative execution are becoming more and more...
The polyhedral model is known to be a powerful framework to reason about high level loop transformat...
In this thesis, we present our contributions to APOLLO (Automatic speculative POLyhedral Loop Optimi...