Add to ORKGThe paper deals with the problem of parallel external integer sorting in the context of a class of heterogeneous clusters. We explore some techniques inherited from the ho-mogeneous and in-core cases to show how they can be de-ployed for clusters with processor performances related by a multiplicative factor
Abstract: Parallel algorithms and specifically parallelism in sorting algorithms as a symbolic appli...
Many sorting algorithms that perform well on uniformly distributed data suffer significant performan...
The use of encryption methods such as secure multiparty computation is an important issue in applica...
http://www.inderscience.com/browse/index.php?journalID=61&year=2005&vol=3&issue=2/3The paper address...
International audienceThe aim of the paper is to introduce general techniques in order to optimize t...
The aim of the paper is to introduce techniques in order to tune sequential in-core sorting algorith...
We present the design and implementation of a parallel out-of-core sorting algorithm, which is based...
Implementations of map-reduce are being used to perform many operations on very large data. We explo...
Integer sorting is a subclass of the sorting problem where the elements have integer values and the ...
This paper discusses our implementation of Rajasekaran’s ( l,m)-mergesort algo-rithm (LMM) for sorti...
Classical algorithms for sorting in internal memory were designed with an assumption, that the memor...
Sorting very large datasets is a key subroutine in almost any application that is built on top of a ...
Sorting is one of the most fundamental algorithmic kernels, used by a large fraction of computer app...
Clusters of symmetric multiprocessors (SMPs) have emerged as the primary candidates for large scale ...
A large number of parallel applications contain a compu-tationally intensive phase in which a large ...
Abstract: Parallel algorithms and specifically parallelism in sorting algorithms as a symbolic appli...
Many sorting algorithms that perform well on uniformly distributed data suffer significant performan...
The use of encryption methods such as secure multiparty computation is an important issue in applica...
http://www.inderscience.com/browse/index.php?journalID=61&year=2005&vol=3&issue=2/3The paper address...
International audienceThe aim of the paper is to introduce general techniques in order to optimize t...
The aim of the paper is to introduce techniques in order to tune sequential in-core sorting algorith...
We present the design and implementation of a parallel out-of-core sorting algorithm, which is based...
Implementations of map-reduce are being used to perform many operations on very large data. We explo...
Integer sorting is a subclass of the sorting problem where the elements have integer values and the ...
This paper discusses our implementation of Rajasekaran’s ( l,m)-mergesort algo-rithm (LMM) for sorti...
Classical algorithms for sorting in internal memory were designed with an assumption, that the memor...
Sorting very large datasets is a key subroutine in almost any application that is built on top of a ...
Sorting is one of the most fundamental algorithmic kernels, used by a large fraction of computer app...
Clusters of symmetric multiprocessors (SMPs) have emerged as the primary candidates for large scale ...
A large number of parallel applications contain a compu-tationally intensive phase in which a large ...
Abstract: Parallel algorithms and specifically parallelism in sorting algorithms as a symbolic appli...
Many sorting algorithms that perform well on uniformly distributed data suffer significant performan...
The use of encryption methods such as secure multiparty computation is an important issue in applica...