Abstract Data explosion is an increasingly prevalent problem in every field of science. Traditional out-of-core models that assume a single disk have been found inadequate to handle voluminous data. As a result, models that employ multiple disks have been proposed in the literature. For example, the Parallel Disk Systems (PDS) model assumes D disks and a single computer. It is also assumed that a block of data from each of the D disks can be fetched into the main memory in one parallel I/O operation. In this article, we survey sorting and selection algorithms that have been devised for out-of-core models assuming multiple disks. We also consider practical implementations of parallel disk models. 1
Abstract. The Parallel Disks Model (PDM) has been proposed to al-leviate the I/O bottleneck that ari...
The original publication is available at www.springerlink.comExternal sorting|the process of sorting...
High performance applications involving large data sets require the efficient and flexible use of mu...
With the widening gap between processor speeds and disk access speeds, the I/O bottleneck has become...
We live in an era of data explosion that necessitates the discovery of novel out-of-core techniques....
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
The Parallel Disks Model (PDM) has been proposed to alleviate the I/O bottleneck that arises in the ...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
The Parallel Disks Model (PDM) has been proposed to alleviate the I/O bottle-neck that arises in the...
In this paper we present a simple parallel sorting algorithm and illustrate two applications. The al...
We develop an algorithm for parallel disk sorting, whose I/O cost approaches the lower bound and tha...
We develop an algorithm for parallel disk sorting, whose I/O cost approaches the lower bound and tha...
Although several algorithms have been developed for the Parallel Disk Model (PDM), few have been imp...
In this paper we present a simple parallel sorting algorithm and illustrate its application in gener...
Several algorithms for parallel disk systems have appeared in the literature recently, and they are ...
Abstract. The Parallel Disks Model (PDM) has been proposed to al-leviate the I/O bottleneck that ari...
The original publication is available at www.springerlink.comExternal sorting|the process of sorting...
High performance applications involving large data sets require the efficient and flexible use of mu...
With the widening gap between processor speeds and disk access speeds, the I/O bottleneck has become...
We live in an era of data explosion that necessitates the discovery of novel out-of-core techniques....
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
The Parallel Disks Model (PDM) has been proposed to alleviate the I/O bottleneck that arises in the ...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
The Parallel Disks Model (PDM) has been proposed to alleviate the I/O bottle-neck that arises in the...
In this paper we present a simple parallel sorting algorithm and illustrate two applications. The al...
We develop an algorithm for parallel disk sorting, whose I/O cost approaches the lower bound and tha...
We develop an algorithm for parallel disk sorting, whose I/O cost approaches the lower bound and tha...
Although several algorithms have been developed for the Parallel Disk Model (PDM), few have been imp...
In this paper we present a simple parallel sorting algorithm and illustrate its application in gener...
Several algorithms for parallel disk systems have appeared in the literature recently, and they are ...
Abstract. The Parallel Disks Model (PDM) has been proposed to al-leviate the I/O bottleneck that ari...
The original publication is available at www.springerlink.comExternal sorting|the process of sorting...
High performance applications involving large data sets require the efficient and flexible use of mu...