Parallel Fast Fourier Transforms

Parallel Fast Fourier Transforms is a computational method that enables the efficient execution of Fast Fourier Transform operations through decomposition and concurrent processing across multiple processing units to accelerate large-scale numerical computations.

208

Publications

8.7K

Citations

511

Authors

237

Institutions

Publications per year

2017–2026

26

Variants

Parallel FftParallel Ffts

Authors

511

  1. KK
    Keshab K. Parhi

    University of Minnesota, United States

    5 publications · 342 citations

    5

    h-index

  2. DT
    Daisuke Takahashi

    University of Tsukuba, Japan

    5 publications · 83 citations

    5

    h-index

  3. MA
    Manohar Ayinala

    University of Minnesota, United States

    4 publications · 279 citations

    4

    h-index

  4. MG
    Mario Garrido

    Linköping University, Sweden

    4 publications · 180 citations

    4

    h-index

  5. MZ
    Mohammad Zubair

    Old Dominion University, United States

    3 publications · 85 citations

    3

    h-index

1–5 of 511

Venues

  1. Parallel Computing

    12 publications · 695 citations

    12

    h-index

  2. IEEE Transactions on Computers

    10 publications · 506 citations

    10

    h-index

  3. Computer Physics Communications

    7 publications · 264 citations

    7

    h-index

  4. 6

    h-index

  5. SIAM Journal on Scientific Computing

    5 publications · 491 citations

    5

    h-index

1–5