transform (FFT) and associated convolution/correlation routines. Though arbitrary signal lengths (i.e. all powers of 2) are handled, our design emphasis is on very long signals (length N ≥ 2 16 and on into the millions), for which cache considerations are paramount. The core of the library is a particular variant of full-complex FFT that for signal length N = 2 10 executes at 1.15 gigaflops (500 MHz G4). This cache-friendly, core FFT plays a dominant role in the long-signal cases such as two-dimensional FFT and convolution. More important perhaps than the core performance benchmark is the manner in which one can sift through the myriad prevailing (and new) FFT frameworks, to arrive at a suitable such framework for the Velocity Engine. Presu...
Many traditional algorithms for computing the fast Fourier transform (FFT) on conventional computers...
In this paper, we present an early version of a SYCL-based FFT library, capable of running on all ma...
We are now entering the multi-core era, many multi-core chips are designed and manufactured by vario...
Abstract: We specify G5 cluster configurations suitable for performing massive (billion-element) fas...
Two recently developed ideas, the conversion of a DFT to convolution and the implementation of short...
AbstractThe development of the fast Fourier transform (FFT) and its numerous variants in the past 30...
Fast Fourier Transform (FFT) is one of the most efficient algorithm widely used in the field of mode...
Several SOA (state of the art) self-tuning software libraries exist, such as the Fastest Fourier Tra...
The native implementation of the N-point digital Fourier Transform involves calculating the scalar p...
This paper presents the fastest fast Fourier transform (FFT) hardware architectures so far. The arch...
FFT implementations today generally fall into two categories: Library generators (such as FFTW and S...
Abstract. We present a new algorithm for the Fast Fourier Transform which is a factor of 2 to 4 time...
Novel architectures leveraging long and variable vector lengths like the NEC SX-Aurora or the vector...
We present a MPI based software library for computing the fast Fourier transforms on massively paral...
Novel architectures leveraging long and variable vector lengths like the NEC SX-Aurora or the vector...
Many traditional algorithms for computing the fast Fourier transform (FFT) on conventional computers...
In this paper, we present an early version of a SYCL-based FFT library, capable of running on all ma...
We are now entering the multi-core era, many multi-core chips are designed and manufactured by vario...
Abstract: We specify G5 cluster configurations suitable for performing massive (billion-element) fas...
Two recently developed ideas, the conversion of a DFT to convolution and the implementation of short...
AbstractThe development of the fast Fourier transform (FFT) and its numerous variants in the past 30...
Fast Fourier Transform (FFT) is one of the most efficient algorithm widely used in the field of mode...
Several SOA (state of the art) self-tuning software libraries exist, such as the Fastest Fourier Tra...
The native implementation of the N-point digital Fourier Transform involves calculating the scalar p...
This paper presents the fastest fast Fourier transform (FFT) hardware architectures so far. The arch...
FFT implementations today generally fall into two categories: Library generators (such as FFTW and S...
Abstract. We present a new algorithm for the Fast Fourier Transform which is a factor of 2 to 4 time...
Novel architectures leveraging long and variable vector lengths like the NEC SX-Aurora or the vector...
We present a MPI based software library for computing the fast Fourier transforms on massively paral...
Novel architectures leveraging long and variable vector lengths like the NEC SX-Aurora or the vector...
Many traditional algorithms for computing the fast Fourier transform (FFT) on conventional computers...
In this paper, we present an early version of a SYCL-based FFT library, capable of running on all ma...
We are now entering the multi-core era, many multi-core chips are designed and manufactured by vario...