Lobeiras Blanco, JacoboAmor, MargaritaDoallo, Ramón2025-01-152025-01-152013Lobeiras, J., Amor, M. & Doallo, R. Influence of memory access patterns to small-scale FFT performance. J Supercomput 64, 120–131 (2013). https://doi.org/10.1007/s11227-012-0807-50920-8542http://hdl.handle.net/2183/40724This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11227-012-0807-5[Abstract]: Modern GPUs (Graphics Processing Units) offer very high computing power at relative low cost. To take advantage of their computing resources and develop efficient implementations is essential to have certain knowledge about the architecture and memory hierarchy. In this paper, we use the FFT (Fast Fourier Transform) as a benchmark tool to analyze different aspects of GPU architectures, like the influence of the memory access pattern or the impact of the register pressure. The FFT is a good tool for performance analysis because it is used in many digital signal processing applications and has a good balance between computational cost and memory bandwidth requirements.engCopyright © 2012, Springer Science Business Media, LLCSignal processingPerformance analysisFFTGPUCUDAjournal articleopen access10.1007/s11227-012-0807-5