We also proposed parallelism optimization strategies when the data volume occurs and predicted the possible situation when the amount of data increased further.
It can be seen from the results that Parallel FFT algorithm is more efficient than the ordinary FFT algorithm. Key words memory hierarchy, thread/thread block, ...
We also proposed parallelism optimization strategies when the data volume occurs and predicted the possible situation when the amount of data increased further.
This paper exploited the Compute Unified Device Architecture CUDA technology and contemporary graphics processing units (GPUs) to achieve higher performance ...
We focused on two aspects to optimize the ordinary FFT algorithm, multi-threaded parallelism and memory hierarchy. We also proposed parallelism optimization ...
The aim of the project was to provide a parallel implementation of Fast Fourier Transform (FFT) method. FFT is a widely used method for various purposes.
Missing: Design | Show results with:Design
We also proposed parallelism optimization strategies when the data volume occurs and predicted the possible situation when the amount of data increased further.
Aug 9, 2013 · I want to be able to make multiple FFT at the same time using the GPU. More precisely, I'm using NVIDIA's CUDA.
Missing: Implementation | Show results with:Implementation
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Can FFT be parallelized?
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Jan 10, 2022 · FFTs work by taking the time domain signal and dissecting it into progressively smaller segments before actually operating on the data.
Missing: Parallel | Show results with:Parallel
In this paper, we propose a highly scalable GPU-based parallel algorithm called GPU-SFFT for computing the SFFT of k-sparse signals. We exploit the ...