In this paper, the problem of computing a one-dimensional FFT on a c-dimensional torus multicomputer is focused. Different approaches are proposed which differ in the way they use the interconnection network of the torus. One of the approaches is based on the multidimensional index mapping technique for FFT computation. A second approach is based on embedding on the torus a hypercube algorithm for computing the radix-2 Cooley-Tukey FFT. The third approach reduces the communication cost of the hypercube algorithm through the communication pipelining technique. Analytical models are presented to compare the different approaches. Finally, some performance estimates are given to illustrate the comparison. 1
In this work, we propose parallel FFT algorithms, for medium-to-coarse grain hypercube-connected mul...
AbstractThe development of the fast Fourier transform (FFT) and its numerous variants in the past 30...
In high-performance computing on distributed-memory systems, communication often represents a signif...
In this paper, the computation of a one-dimensional FFT on a c-dimensional torus multicomputer is an...
The computation of a one-dimensional FFT on a c-dimensional torus multicomputer is analyzed. Differe...
The fast Fourier transform (FFT) is of intense interest to the scientific community. Its utility in...
In this work, we propose parallel FFT algorithms, for medium-to-coarse grain hypercubeconnected mult...
Many parallel algorithms use hypercubes as the communication topology among their processes. When su...
The Three Dimensional Fast Fourier Transform (3D-FFT) is commonly used to solve the partial differen...
This paper addresses the problem of monodimensional (1D) FFT parallel computation on constant-valenc...
We describe an implementation of the Cooley Tukey complex-to-complex FFT on the Connection Machine. ...
In this paper a pipelined ring algorithm is presented for efficient computation of one and two dimen...
A generalized algorithm has been derived for the execution of the Cooley-Tukey FFT algorithm on a di...
Complex two-dimensional FFT's up to size 256 X 256 points were implemented on the Intel iPSC/System...
AbstractThe present paper begins with a survey of various up-to-date parallel 3-D FFT algorithms and...
In this work, we propose parallel FFT algorithms, for medium-to-coarse grain hypercube-connected mul...
AbstractThe development of the fast Fourier transform (FFT) and its numerous variants in the past 30...
In high-performance computing on distributed-memory systems, communication often represents a signif...
In this paper, the computation of a one-dimensional FFT on a c-dimensional torus multicomputer is an...
The computation of a one-dimensional FFT on a c-dimensional torus multicomputer is analyzed. Differe...
The fast Fourier transform (FFT) is of intense interest to the scientific community. Its utility in...
In this work, we propose parallel FFT algorithms, for medium-to-coarse grain hypercubeconnected mult...
Many parallel algorithms use hypercubes as the communication topology among their processes. When su...
The Three Dimensional Fast Fourier Transform (3D-FFT) is commonly used to solve the partial differen...
This paper addresses the problem of monodimensional (1D) FFT parallel computation on constant-valenc...
We describe an implementation of the Cooley Tukey complex-to-complex FFT on the Connection Machine. ...
In this paper a pipelined ring algorithm is presented for efficient computation of one and two dimen...
A generalized algorithm has been derived for the execution of the Cooley-Tukey FFT algorithm on a di...
Complex two-dimensional FFT's up to size 256 X 256 points were implemented on the Intel iPSC/System...
AbstractThe present paper begins with a survey of various up-to-date parallel 3-D FFT algorithms and...
In this work, we propose parallel FFT algorithms, for medium-to-coarse grain hypercube-connected mul...
AbstractThe development of the fast Fourier transform (FFT) and its numerous variants in the past 30...
In high-performance computing on distributed-memory systems, communication often represents a signif...