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by moh_maya
3397 days ago
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I don't think it is because no one has tried it as much as the fact that the workloads need the cpu architecture / are not easily parallizable (as far as I understand). Comp bio in genetics is largely sequence alignment & search, which is still largely CPU / memory bound; but I don't understand programming enough to speculate if development in algorithms will allow GPUs to be used because the problem itself is not parallelizable. I think of it as the difference between a super computer & a cluster.. (More than a decade ago, I struggled to / barely succeeded in building a Beowulf cluster; I am just amazed at how far both the hardware & the software tools have come..) In other areas of comp bio though, GPUs I think are finding use. Protein folding, molecular dynamics. Also, with STORM & such: super resolution microscopy? I think increasingly, gpus will become important. Also, whole cell simulations? |
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You are also right that some of the comp bio areas (CryoEM, protein folding, molecular dynamics) are well suited for GPUs