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| 001 | 860333 | ||
| 005 | 20200914094829.0 | ||
| 024 | 7 | _ | |a 10.1142/S012918319700117X |2 doi |
| 024 | 7 | _ | |a 0129-1831 |2 ISSN |
| 024 | 7 | _ | |a 1793-6586 |2 ISSN |
| 037 | _ | _ | |a FZJ-2019-01108 |
| 082 | _ | _ | |a 530 |
| 100 | 1 | _ | |a Lippert, Thomas |0 P:(DE-Juel1)132179 |b 0 |u fzj |
| 245 | _ | _ | |a FFT for the APE Parallel Computer |
| 260 | _ | _ | |a Singapore [u.a.] |c 1997 |b World Scientific |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1600069681_30204 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a We present a parallel FFT algorithm for SIMD systems following the "Transpose Algorithm" approach. The method is based on the assignment of the data field onto a one-dimensional ring of systolic cells. The systolic array can be universally mapped onto any parallel system. In particular for systems with next-neighbor connectivity our method has the potential to improve the efficiency of matrix transposition by use of hyper-systolic communication. We have realized a scalable parallel FFT on the APE100/Quadrics massively parallel computer, where our implementation is part of a two-dimensional hydrodynamics code for turbulence studies. |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Schilling, Klaus |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Trentmann, Sven |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Toschi, Federico |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Tripiccione, Raffaele |0 P:(DE-HGF)0 |b 4 |
| 773 | _ | _ | |a 10.1142/S012918319700117X |g Vol. 08, no. 06, p. 1317 - 1334 |0 PERI:(DE-600)2006526-7 |n 06 |p 1317 - 1334 |t International journal of modern physics / C Computational physics and physical computation C |v 08 |y 1997 |x 1793-6586 |
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