AbstractA lot of work has been done in parallelizing nested loops with uniform dependences, from dependence analysis to loop transformation. Loops with non-uniform dependences are not so uncommon in the real world. This paper proposes an efficientmethodofsplittingandtransformingnestedloopswithirregularandflowdependencesformaximizingparallelism. Ourapproach isbasedontheConvexHull theorythathasadequate informationtohandle irregular dependences,and alsobasedonminimumdependencedistancetilingmethods.Wewillfirstshowhowtofindtheincrementingminimum dependencedistance.Next,wewillproposehowtotiletheiterationspaceefficientlyaccordingtotheincrementingminimum dependence distance. Finally, we will show how to achieve more parallelism by loop interc...
[[abstract]]A dependence relation between two data references is linear if it generates dependence v...
[[abstract]]A dependence relation between two data references is linear if it generates dependence v...
A dependence relation between two data references is linear if it generates dependence vectors that ...
In general, any nested loop can be parallelized as long as all dependence constraints among iteratio...
In this paper we address the problem of partitioning nested loops with non-uniform (irregular) depen...
The extent of parallelization of a loop is largely determined by the dependences between its stateme...
Loops are the main source of parallelism in scientific programs. Hence, several techniques were dev...
Non-uniform distance loop dependences are a known obstacle to find parallel iterations. To find the ...
Abstract In this paper, an approach to the problem of exploiting parallelism within nested loops is ...
Executing a program in parallel machines needs not only to find sufficient parallelism in a program,...
Special issue on "Optimizing Compilers for Parallel Languages"International audienceWe explore the l...
In this paper, we compare three nested loops parallelization algorithms (Allen and Kennedy's algorit...
We explore the link between dependence abstractions and maximal parallelism extraction in nested loo...
This work leverages an original dependency analysis to parallelize loops regardless of their form i...
A new technique to parallelize loops with variable distance vectors is presented. The method extends...
[[abstract]]A dependence relation between two data references is linear if it generates dependence v...
[[abstract]]A dependence relation between two data references is linear if it generates dependence v...
A dependence relation between two data references is linear if it generates dependence vectors that ...
In general, any nested loop can be parallelized as long as all dependence constraints among iteratio...
In this paper we address the problem of partitioning nested loops with non-uniform (irregular) depen...
The extent of parallelization of a loop is largely determined by the dependences between its stateme...
Loops are the main source of parallelism in scientific programs. Hence, several techniques were dev...
Non-uniform distance loop dependences are a known obstacle to find parallel iterations. To find the ...
Abstract In this paper, an approach to the problem of exploiting parallelism within nested loops is ...
Executing a program in parallel machines needs not only to find sufficient parallelism in a program,...
Special issue on "Optimizing Compilers for Parallel Languages"International audienceWe explore the l...
In this paper, we compare three nested loops parallelization algorithms (Allen and Kennedy's algorit...
We explore the link between dependence abstractions and maximal parallelism extraction in nested loo...
This work leverages an original dependency analysis to parallelize loops regardless of their form i...
A new technique to parallelize loops with variable distance vectors is presented. The method extends...
[[abstract]]A dependence relation between two data references is linear if it generates dependence v...
[[abstract]]A dependence relation between two data references is linear if it generates dependence v...
A dependence relation between two data references is linear if it generates dependence vectors that ...