In this paper, we develop a series of extensions to schedule-independent storage mapping using Quasi-Universal Occu-pancy Vectors (QUOVs) targeting tiled execution of poly-hedral programs. By quasi-universality, we mean that we restrict the “universe” of the schedule to those that correspond to tiling. This provides the following benefits: (i) the shortest QUOVs may be shorter than the fully univer-sal ones, (ii) the shortest QUOVs can be found without any search, and (iii) multi-statement programs can be handled. The resulting storage mapping is valid for tiled execution by any tile size
Three related problems, among others, are faced when trying to execute an algorithm on a parallel ma...
In this report we address the issue of loop tiling to minimize the completion time of the loop when ...
This paper describes a framework by which an out-of-core stencil program written in a data-parallel ...
This paper studies the relationship between storage requirements and performance. Storage-related de...
International audienceThis work extends lattice-based memory allocation, an earlier work on memory r...
International audienceIn the framework of perfect loop nests with uniform dependences, tiling has be...
We present a unified mathematical framework for analyzing the tradeoffs between parallelism and stor...
Abstract. We present a unified mathematical framework for analyzing the tradeoffs between parallelis...
Iteration space tiling is a common strategy used by parallelizing compilers to reduce communication ...
Efficient memory allocation is crucial for data-intensive applications, as a smaller memory footprin...
In the framework of perfect loop nests with uniform dependences, tiling has been extensively studied...
This work extends lattice-based memory allocation, an earlier work on memory (array)reuse analysis. ...
Iteration space tiling is a common strategy used by parallelizing compilers and in performance tunin...
Abstract. This paper proposes tiling techniques based on data depen-dencies and not in code structur...
The importance of tiles or blocks in mathematics and thus computer science cannot be overstated. Fro...
Three related problems, among others, are faced when trying to execute an algorithm on a parallel ma...
In this report we address the issue of loop tiling to minimize the completion time of the loop when ...
This paper describes a framework by which an out-of-core stencil program written in a data-parallel ...
This paper studies the relationship between storage requirements and performance. Storage-related de...
International audienceThis work extends lattice-based memory allocation, an earlier work on memory r...
International audienceIn the framework of perfect loop nests with uniform dependences, tiling has be...
We present a unified mathematical framework for analyzing the tradeoffs between parallelism and stor...
Abstract. We present a unified mathematical framework for analyzing the tradeoffs between parallelis...
Iteration space tiling is a common strategy used by parallelizing compilers to reduce communication ...
Efficient memory allocation is crucial for data-intensive applications, as a smaller memory footprin...
In the framework of perfect loop nests with uniform dependences, tiling has been extensively studied...
This work extends lattice-based memory allocation, an earlier work on memory (array)reuse analysis. ...
Iteration space tiling is a common strategy used by parallelizing compilers and in performance tunin...
Abstract. This paper proposes tiling techniques based on data depen-dencies and not in code structur...
The importance of tiles or blocks in mathematics and thus computer science cannot be overstated. Fro...
Three related problems, among others, are faced when trying to execute an algorithm on a parallel ma...
In this report we address the issue of loop tiling to minimize the completion time of the loop when ...
This paper describes a framework by which an out-of-core stencil program written in a data-parallel ...