Spatio-temporal signal twice-whitening algorithms on the hx3100&amp;#x2122; ultra-low power multicore processor

Humble, Travis S.; Mitra, Pramita; Barhen, J.; Schleck, B.; Polcari, John; Traweek, Michael

doi:10.1109/oceanssyd.2010.5603662

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“…In this article, we focus on the Cell. A companion article [17] addresses implementation on the HyperX and the Tesla.…”

Section: Multicore Platformsmentioning

confidence: 99%

Multi-FFT Vectorization for the Cell Multicore Processor

Barhen

Humble

Mitra

et al. 2010

2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing

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The emergence of streaming multicore processors with multi-SIMD architectures and ultra-low power operation combined with real-time compute and I/O reconfigurability opens unprecedented opportunities for executing sophisticated signal processing algorithms faster and within a much lower energy budget. Here, we present an unconventional FFT implementation scheme for the IBM Cell, named transverse vectorization. It is shown to outperform (both in terms of timing or GFLOP throughput) the fastest FFT results reported to date in the open literature.

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“…In this article, we focus on the Cell. A companion article [17] addresses implementation on the HyperX and the Tesla.…”

Section: Multicore Platformsmentioning

confidence: 99%