A new methodology named CALMANT (CC-cube Algorithms on Meshes and Tori) for mapping a type of algorithm that we call CC-cube algorithm onto multicomputers with hypercube, mesh, or torus interconnection topology is proposed. This methodology is suitable when the initial problem can be expressed as a set of processes that communicate through a hypercube topology (a CC-cube algorithm). There are many important algorithms that fit into the CC-cube type. CALMANT is based on three different techniques: (a) the standard embedding to assign the processes of the algorithm to the nodes of the mesh multicomputer; (b) the communication pipelining technique to increase the level of communication parallelism inherent in the CC-cube algorithms; and (c) op...
Processor allocation and the task scheduling technique in parallel processing systems play a signifi...
One important aspect of efficient use of a hypercube computer to solve a given problem is the assign...
In this paper we present an efficient dense matrix multi-plication algorithm for distributed memory ...
A new methodology named CALMANT (CC-cube Algorithms on Meshes and Tori) for mapping a type of algori...
Many parallel algorithms use hypercubes as the communication topology among their processes. When su...
Many parallel algorithms use hypercubes as the communication topology among their processes. When su...
Many parallel algorithms exhibit a hypercube communication topology. Such algorithms can easily be e...
Many parallel algorithms use hypercubes as the communication topology among processes, which make th...
Hypercube algorithms are developed for a variety of communication-intensive tasks such as transposin...
We discuss communication algorithms relevant for neural network modeling on distributed memory concu...
This thesis, presents a multiprocessor topology, the hierarchical network of hyper-cubes, which has ...
Hypercube algorithms are developed for a variety of commun-ication-intensive tasks such as transposi...
We discuss optimal communication and decomposition algorithms for a class of regular problems on con...
Many CFD (computational fluid dynamics) and other scientific applications can be partitioned into su...
mes the bottleneck limiting the scalability of parallel algorithms. Thus, choosing the correct commu...
Processor allocation and the task scheduling technique in parallel processing systems play a signifi...
One important aspect of efficient use of a hypercube computer to solve a given problem is the assign...
In this paper we present an efficient dense matrix multi-plication algorithm for distributed memory ...
A new methodology named CALMANT (CC-cube Algorithms on Meshes and Tori) for mapping a type of algori...
Many parallel algorithms use hypercubes as the communication topology among their processes. When su...
Many parallel algorithms use hypercubes as the communication topology among their processes. When su...
Many parallel algorithms exhibit a hypercube communication topology. Such algorithms can easily be e...
Many parallel algorithms use hypercubes as the communication topology among processes, which make th...
Hypercube algorithms are developed for a variety of communication-intensive tasks such as transposin...
We discuss communication algorithms relevant for neural network modeling on distributed memory concu...
This thesis, presents a multiprocessor topology, the hierarchical network of hyper-cubes, which has ...
Hypercube algorithms are developed for a variety of commun-ication-intensive tasks such as transposi...
We discuss optimal communication and decomposition algorithms for a class of regular problems on con...
Many CFD (computational fluid dynamics) and other scientific applications can be partitioned into su...
mes the bottleneck limiting the scalability of parallel algorithms. Thus, choosing the correct commu...
Processor allocation and the task scheduling technique in parallel processing systems play a signifi...
One important aspect of efficient use of a hypercube computer to solve a given problem is the assign...
In this paper we present an efficient dense matrix multi-plication algorithm for distributed memory ...