HIGHLIGHTS
- who: Parallel computing and colleagues from the (UNIVERSITY) have published the research work: gEMpicker: a highly parallel GPU-accelerated particle picking tool for cryo-electron microscopy, in the Journal: (JOURNAL)
- what: This approach has been implemented in FindEM , SPIDER LFCPick , and SIGNATURE , for example. The authors present particle picking speed-up results obtained on four different computational platforms, and the authors demonstrate the practical utility of the approach using the publicly available keyhole limpet hemocyanin (KLH) dataset. In this study, computational experiments were carried out using four different computational platforms, representing four possible hardware configurations . . .
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