Journal
ELIFE
Volume 5, Issue -, Pages -Publisher
ELIFE SCIENCES PUBLICATIONS LTD
DOI: 10.7554/eLife.18722
Keywords
-
Categories
Funding
- Medical Research Council [MC UP A025 1013]
- Vetenskapsradet [2013-5901]
- Horizon 2020 [EINFRA-2015-1-675728]
- Swedish e-Science Research Centre
- Swedish National Infrastructure for Computing [2015/16-45]
- MRC [MC_UP_A025_1013] Funding Source: UKRI
- Medical Research Council [MC_UP_A025_1013] Funding Source: researchfish
Ask authors/readers for more resources
By reaching near-atomic resolution for a wide range of specimens, single-particle cryo-EM structure determination is transforming structural biology. However, the necessary calculations come at large computational costs, which has introduced a bottleneck that is currently limiting throughput and the development of new methods. Here, we present an implementation of the RELION image processing software that uses graphics processors (GPUs) to address the most computationally intensive steps of its cryo-EM structure determination workflow. Both image classification and high-resolution refinement have been accelerated more than an order-of-magnitude, and template-based particle selection has been accelerated well over two orders-of-magnitude on desktop hardware. Memory requirements on GPUs have been reduced to fit widely available hardware, and we show that the use of single precision arithmetic does not adversely affect results. This enables high-resolution cryo-EM structure determination in a matter of days on a single workstation.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available