Publications
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Filters: Author is Alan Ayala [Clear All Filters]
Impacts of Multi-GPU MPI Collective Communications on Large FFT Computation,”
Workshop on Exascale MPI (ExaMPI) at SC19, Denver, CO, November 2019.
(1.6 MB)
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Analysis of the Communication and Computation Cost of FFT Libraries towards Exascale,”
ICL Technical Report, no. ICL-UT-22-07: Innovative Computing Laboratory, July 2022.
(5.91 MB)
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heFFTe: Highly Efficient FFT for Exascale (Poster)
: NVIDIA GPU Technology Conference (GTC2020), October 2020.
(866.88 KB)

FFT Benchmark Performance Experiments on Systems Targeting Exascale,”
ICL Technical Report, no. ICL-UT-22-02, March 2022.
(5.87 MB)
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heFFTe: Highly Efficient FFT for Exascale (Poster)
, Seattle, WA, SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP20), February 2020.
(1.54 MB)

Scalability Issues in FFT Computation,”
International Conference on Parallel Computing Technologies: Springer, pp. 279–287, 2021.
“heFFTe: Highly Efficient FFT for Exascale (Poster)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(6.2 MB)

Interim Report on Benchmarking FFT Libraries on High Performance Systems,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-21-03: University of Tennessee, July 2021.
(2.68 MB)
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heFFTe: Highly Efficient FFT for Exascale,”
International Conference on Computational Science (ICCS 2020), Amsterdam, Netherlands, June 2020.
(2.62 MB)
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Accelerating FFT towards Exascale Computing
: NVIDIA GPU Technology Conference (GTC2021), 2021.
(27.23 MB)
