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Because not every scientific library in the world is ported to GPGPU (or even can technically be). CPU-heavy computing is a rule, not an exception. E.g. in com
by atemerev 4y ago
Because not every scientific library in the world is ported to GPGPU (or even can technically be). CPU-heavy computing is a rule, not an exception.
E.g. in computational fluid dynamics, there are not too many GPU-ready codes available, and most of those are either beta-quality or already abandoned.
- jhbadger 4y agoAgreed. In computational biology it is similar. About 5-10 years ago there was huge excitement over GPUs and there were things like GPU-accelerated BLAST (program for comparing DNA/protein sequences against each other) and the like, but it really didn't revolutionize the field in general. HPCs like Biowulf (the HPC cluster used by the US National Institutes of Health, a pun on "biology" and "Beowulf") is overwhelmingly CPU-based with a few GPUS that you can request.
- Maursault 4y ago> Biowulf (the HPC cluster used by the US National Institutes of Health, a pun on "biology" and "Beowulf") Sorry to be satanic[0], but "Biowulf"[1] is not a pun. Thieves often make this mistake because they take things literally. [0] https://en.wikipedia.org/wiki/Pun https://en.wikipedia.org/wiki/Pun [1] https://en.wikipedia.org/wiki/Portmanteau https://en.wikipedia.org/wiki/Portmanteau