Crunch meaning video game7/2/2023 ![]() With GPUs, Gollery says, BGI gets faster results for its existing algorithms or use more sensitive algorithms to get better results. To achieve the same genome analysis speeds with traditional CPUs, BGI would have to use 15 times more computer nodes, with an equivalent increase in power and air conditioning, according to bioinformatics consultant Martin Gollery. The open question in the high-throughput sequencing community has been the extent to which their analysis challenges can be restructured to fit the GPU model. GPU computing holds the promise of delivering orders of magnitude increases in performance and reducing power and space requirements for problems that can be structured to take advantage of the highly parallelized architecture. TeHennepe calls BGI's accomplishment "an important step forward in the effort to apply the promise of GPU computing to the challenge of scaling the mountain of high-throughput sequencing data" - assuming that BGI's accomplishment can be verified and applied elsewhere. The lab has been conducting high-throughput sequencing for more than a year, and it has been looking into GPU computing to bolster the lab's ability to analyze the data. TeHennepe's Jackson Laboratory is best known as as one of the main sources of mice for the world's biomedical research community, but it's also a research center that focuses on the genetics of cancer and other diseases. According to Jackson Lab's TeHennepe, the feat BGI and NVIDIA pulled off was porting key genome analysis tools to NVIDIA's GPU architecture, a nontrivial accomplishment that the open source community and others have been working toward. ![]()
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