Communication complexity is defined, within the Bulk Synchronous Parallel (BSP) model of computation, as the sum of the degrees of all the supersteps. A lower bound to the communication complexity is derived for a given class of DAG computations in terms of the switching potential of a DAG, that is, the number of permutations that the DAG can realize when viewed as a switching network. The proposed technique yields a novel and tight lower bound for the FFT grap
this paper, we relax the barrier synchronization constraint in the BSP model for the efficient imple...
Bulk Synchronous Parallelism (BSP) is a parallel programming model that abstracts from low-level pro...
AbstractThis paper proposes a few lower bounds for communication complexity of the Gaussian eliminat...
Communication is a major factor determining the performance of algorithms on current computing syste...
We present a new parallel radix-4 FFT algorithm based on the BSP model. Our parallel algorithm uses ...
In this paper we propose a new approach to the study of the communication requirements of distribute...
In this paper we propose a new approach to the study of the communication requirements of distribute...
Bulk Synchronous Parallelism (BSP) is a parallel programming model that abstracts from low-level pro...
In high-performance computing on distributed-memory systems, communication often represents a signif...
The model of bulk-synchronous parallel (BSP) computation is an emerging paradigm of general-purpose ...
The Bulk Synchronous Parallel (BSP) model of computation can be used to develop efficient and portab...
We study the communication complexity of asynchronous distributed algorithms, such as the dis-tribut...
Abstract—In high-performance computing on distributed-memory systems, communication often represents...
The design of a complex algorithm relies heavily on a set of primitive operations and the instrument...
In the Bulk Synchronous Parallel (or BSP) model of parallel communication represented by BSPlib, the...
this paper, we relax the barrier synchronization constraint in the BSP model for the efficient imple...
Bulk Synchronous Parallelism (BSP) is a parallel programming model that abstracts from low-level pro...
AbstractThis paper proposes a few lower bounds for communication complexity of the Gaussian eliminat...
Communication is a major factor determining the performance of algorithms on current computing syste...
We present a new parallel radix-4 FFT algorithm based on the BSP model. Our parallel algorithm uses ...
In this paper we propose a new approach to the study of the communication requirements of distribute...
In this paper we propose a new approach to the study of the communication requirements of distribute...
Bulk Synchronous Parallelism (BSP) is a parallel programming model that abstracts from low-level pro...
In high-performance computing on distributed-memory systems, communication often represents a signif...
The model of bulk-synchronous parallel (BSP) computation is an emerging paradigm of general-purpose ...
The Bulk Synchronous Parallel (BSP) model of computation can be used to develop efficient and portab...
We study the communication complexity of asynchronous distributed algorithms, such as the dis-tribut...
Abstract—In high-performance computing on distributed-memory systems, communication often represents...
The design of a complex algorithm relies heavily on a set of primitive operations and the instrument...
In the Bulk Synchronous Parallel (or BSP) model of parallel communication represented by BSPlib, the...
this paper, we relax the barrier synchronization constraint in the BSP model for the efficient imple...
Bulk Synchronous Parallelism (BSP) is a parallel programming model that abstracts from low-level pro...
AbstractThis paper proposes a few lower bounds for communication complexity of the Gaussian eliminat...