This paper describes a framework by which an out-of-core stencil program written in a data-parallel language can be translated into node programs in a distributed-memory message-passing machine with explicit I/O and communication. We focus on a technique called Data Space Tiling to group data elements into slabs that can fit into memories of processors. Methods to choose legal tile shapes under several constraints and deadlock-free scheduling of tiles are investigated. Our approach is unified in the sense that it can be applied to both FORALL loops and the loops that involve flow-dependences
Many computationally-intensive programs, such as those for differential equations, spatial interpola...
Abstract — There exist several scheduling schemes for parallelizing loops without dependences for sh...
The key common bottleneck in most stencil codes is data movement, and prior research has shown that ...
Abstract. This paper proposes tiling techniques based on data depen-dencies and not in code structur...
We deal with compiler support for parallelizing perfectly nested loops for coarse-grain distributed ...
International audienceIn the framework of fully permutable loops, tiling is a compiler technique (al...
In the framework of perfect loop nests with uniform dependences, tiling has been extensively studied...
In the framework of perfect loop nests with uniform dependences, tiling has been extensively studied...
This paper fully develops Diamond Tiling, a technique to partition the computations of stencil appli...
This paper addresses the problem of compiling nested loops for distributed memory machines. The rela...
The importance of tiles or blocks in mathematics and thus computer science cannot be overstated. Fro...
This paper addresses the problem of compiling perfectly nested loops for multicomputers (distributed...
Most stencil computations allow tile-wise concurrent start, i.e., there always exists a face of the ...
This paper describes techniques for translating out-of-core programs written in a data parallel lang...
In the framework of fully permutable loops, tiling has been extensively studied as a source-to-sour...
Many computationally-intensive programs, such as those for differential equations, spatial interpola...
Abstract — There exist several scheduling schemes for parallelizing loops without dependences for sh...
The key common bottleneck in most stencil codes is data movement, and prior research has shown that ...
Abstract. This paper proposes tiling techniques based on data depen-dencies and not in code structur...
We deal with compiler support for parallelizing perfectly nested loops for coarse-grain distributed ...
International audienceIn the framework of fully permutable loops, tiling is a compiler technique (al...
In the framework of perfect loop nests with uniform dependences, tiling has been extensively studied...
In the framework of perfect loop nests with uniform dependences, tiling has been extensively studied...
This paper fully develops Diamond Tiling, a technique to partition the computations of stencil appli...
This paper addresses the problem of compiling nested loops for distributed memory machines. The rela...
The importance of tiles or blocks in mathematics and thus computer science cannot be overstated. Fro...
This paper addresses the problem of compiling perfectly nested loops for multicomputers (distributed...
Most stencil computations allow tile-wise concurrent start, i.e., there always exists a face of the ...
This paper describes techniques for translating out-of-core programs written in a data parallel lang...
In the framework of fully permutable loops, tiling has been extensively studied as a source-to-sour...
Many computationally-intensive programs, such as those for differential equations, spatial interpola...
Abstract — There exist several scheduling schemes for parallelizing loops without dependences for sh...
The key common bottleneck in most stencil codes is data movement, and prior research has shown that ...