Although, computer system architecture and the throughput enhances continuously, the need for high computational speed and power in many scientific applications grows every day. As a result, implementation of parallel applications has gained more attention. Since nested loops are the most time-consuming parts of most programs, we propose a method for scheduling uniform nested loops to processors based on the equation of a straight line which includes the maximum possible number of dependence vectors. Experimental results show that the proposed method imposes a lower communication between processors compared with similar methods
We explore the link between dependence abstractions and maximal parallelism extraction in nested loo...
We want to perform compile-time analysis of an SPMD program and place barriers in it to synchronize ...
We deal with compiler support for parallelizing perfectly nested loops for coarse-grain distributed ...
Although, computer system architecture and the throughput enhances continuously, the need for high c...
[[abstract]]Intensive scientific algorithms can usually be formulated as nested loops which are the ...
Cache-coherent, bus-based shared-memory multiprocessors are a cost-effective platform for parallel p...
We present two algorithms to minimize the amount of synchronization added when parallelizing a loop ...
(eng) In this paper, we compare three nested loops parallelization algorithms (Allen and Kennedy's a...
Les algorithmes des systèmes temps réels incluent de plus en plus de nids de boucles, qui sont carac...
Abstract — The parallelization of computa-tional intensive programs can lead to dramatic performance...
Link to published version: http://ieeexplore.ieee.org/iel2/390/6075/00236705.pdf?tp=&arnumber=236705...
Three related problems, among others, are faced when trying to execute an algorithm on a parallel ma...
Application specific MPSoCs are often used to implement high-performance data-intensive applications...
This paper presents an approach to software pipelining of nested loops. While several papers have ad...
Loops in scientific and engineering applications provide a rich source of parallelism. In order to o...
We explore the link between dependence abstractions and maximal parallelism extraction in nested loo...
We want to perform compile-time analysis of an SPMD program and place barriers in it to synchronize ...
We deal with compiler support for parallelizing perfectly nested loops for coarse-grain distributed ...
Although, computer system architecture and the throughput enhances continuously, the need for high c...
[[abstract]]Intensive scientific algorithms can usually be formulated as nested loops which are the ...
Cache-coherent, bus-based shared-memory multiprocessors are a cost-effective platform for parallel p...
We present two algorithms to minimize the amount of synchronization added when parallelizing a loop ...
(eng) In this paper, we compare three nested loops parallelization algorithms (Allen and Kennedy's a...
Les algorithmes des systèmes temps réels incluent de plus en plus de nids de boucles, qui sont carac...
Abstract — The parallelization of computa-tional intensive programs can lead to dramatic performance...
Link to published version: http://ieeexplore.ieee.org/iel2/390/6075/00236705.pdf?tp=&arnumber=236705...
Three related problems, among others, are faced when trying to execute an algorithm on a parallel ma...
Application specific MPSoCs are often used to implement high-performance data-intensive applications...
This paper presents an approach to software pipelining of nested loops. While several papers have ad...
Loops in scientific and engineering applications provide a rich source of parallelism. In order to o...
We explore the link between dependence abstractions and maximal parallelism extraction in nested loo...
We want to perform compile-time analysis of an SPMD program and place barriers in it to synchronize ...
We deal with compiler support for parallelizing perfectly nested loops for coarse-grain distributed ...