Given m ordered segments that form a partition of some universe (e.g., a 2D strip), the multisearch problem consists of determining, for a set of n query points in the universe, the segments they belong to. We present the first parallel deterministic scheme that efficiently solves the problem in the case m ge n. The scheme is designed on the BSP model, a variant of Valiant's BSP that rewards blockwise communication, and uses a suitable redundant representation of the data. Both computation and communication complexities are studied as functions of the redundancy. In particular, it is shown that optimal speed-up can be achieved using logarithmic redundancy. We also prove a lower bound on the communication requirements of any multisearch sche...
We introduce an innovative decomposition technique which reduces a multi-dimensional searching probl...
We introduce an innovative decomposition technique which reduces a multi-dimensional searching probl...
We introduce an innovative decomposition technique which reduces a multi-dimensional searching probl...
Given m ordered segments that form a partition of some universe (e.g., a 2D strip), the multisearch ...
AbstractIn this paper we design and analyse parallel algorithms with the goal to get exact bounds on...
AbstractIn this paper we design and analyse parallel algorithms with the goal to get exact bounds on...
External memory (EM) algorithms are designed for computational problems in which the size of the int...
External memory (EM) algorithms are designed for computational problems in which the size of the int...
AbstractIn this paper we give improved bounds for the multisearch problem on a hypercube. This is a ...
The multisearch problem is defined as follows. Given a data structure D modeled as a graph with n co...
The range tree is a fundamental data structure for multidimensional point sets, and as such, is cent...
. In this paper, we explore parallel implementations of the abstract data type priority queue. We us...
AbstractIn this paper we give improved bounds for the multisearch problem on a hypercube. This is a ...
We study randomized techniques for designing efficient algorithms on a p-processor bulk-synchronous ...
We introduce an innovative decomposition technique which reduces a multi-dimensional searching probl...
We introduce an innovative decomposition technique which reduces a multi-dimensional searching probl...
We introduce an innovative decomposition technique which reduces a multi-dimensional searching probl...
We introduce an innovative decomposition technique which reduces a multi-dimensional searching probl...
Given m ordered segments that form a partition of some universe (e.g., a 2D strip), the multisearch ...
AbstractIn this paper we design and analyse parallel algorithms with the goal to get exact bounds on...
AbstractIn this paper we design and analyse parallel algorithms with the goal to get exact bounds on...
External memory (EM) algorithms are designed for computational problems in which the size of the int...
External memory (EM) algorithms are designed for computational problems in which the size of the int...
AbstractIn this paper we give improved bounds for the multisearch problem on a hypercube. This is a ...
The multisearch problem is defined as follows. Given a data structure D modeled as a graph with n co...
The range tree is a fundamental data structure for multidimensional point sets, and as such, is cent...
. In this paper, we explore parallel implementations of the abstract data type priority queue. We us...
AbstractIn this paper we give improved bounds for the multisearch problem on a hypercube. This is a ...
We study randomized techniques for designing efficient algorithms on a p-processor bulk-synchronous ...
We introduce an innovative decomposition technique which reduces a multi-dimensional searching probl...
We introduce an innovative decomposition technique which reduces a multi-dimensional searching probl...
We introduce an innovative decomposition technique which reduces a multi-dimensional searching probl...
We introduce an innovative decomposition technique which reduces a multi-dimensional searching probl...