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| 020 | _ | _ | |a 978-3-540-64443-9 (print) |
| 020 | _ | _ | |a 978-3-540-69783-1 (electronic) |
| 024 | 7 | _ | |a 10.1007/BFb0037171 |2 doi |
| 024 | 7 | _ | |a 0302-9743 |2 ISSN |
| 024 | 7 | _ | |a 1611-3349 |2 ISSN |
| 037 | _ | _ | |a FZJ-2019-01119 |
| 100 | 1 | _ | |a Lippert, Th. |0 P:(DE-Juel1)132179 |b 0 |u fzj |
| 111 | 2 | _ | |a International Conference on High-Performance Computing and Networking |c Amsterdam |d 1998-04-21 - 1998-04-23 |w The Netherlands |
| 245 | _ | _ | |a Transpose algorithm for FFT on APE/Quadrics |
| 260 | _ | _ | |a Berlin, Heidelberg |c 1998 |b Springer Berlin Heidelberg |
| 295 | 1 | 0 | |a High-Performance Computing and Networking / Sloot, Peter (Editor) ; Berlin, Heidelberg : Springer Berlin Heidelberg, 1998, Chapter 46 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-540-64443-9=978-3-540-69783-1 ; doi:10.1007/BFb0037125 |
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| 490 | 0 | _ | |a Lecture Notes in Computer Science |v 1401 |
| 520 | _ | _ | |a We describe a novel practical parallel FFT scheme designed for SIMD systems and/or data parallel programming. A bit-exchange of elements between the processors is avoided by means of the ‘Transpose Algorithm’. Our transposition is based on the assignment of the data field onto a 1-dimensional ring of systolic cells which subsequently is mapped onto a ring of processors, realized as a subset of the system's connectivity. We have implemented and benchmarked a 2-dimensional parallel FFT code on the APE100/Quadrics parallel computer, where–due to a rigid next-neighbour connectivity and lack of local addressing–efficient FFT implementations could not be realized so far. |
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| 773 | _ | _ | |a 10.1007/BFb0037171 |
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