Benchmarks & computer hardware: Difference between revisions
(Created page with "With the addition of GPU-acceleration to release 2.0, a standard benchmark to test new hardware has become more necessary than ever.") |
No edit summary |
||
| Line 1: | Line 1: | ||
With the addition of GPU-acceleration to release 2.0, | = Standard benchmarks = | ||
With the addition of GPU-acceleration to release 2.0, standard benchmarks to compare the performance of new hardware has become more necessary than ever. Therefore, we suggest the following standard tests on the Plasmodium ribosome data set presented in [http://dx.doi.org/10.7554/eLife.03080 Wong et al, eLife 2014]: | |||
<code> | |||
ascp -QT -l 2G -i ~/.aspera/connect/etc/asperaweb_id_dsa.openssh emp_ext@fasp.ebi.ac.uk:archive/10028/data/Particles . | |||
wget ftp://ftp.ebi.ac.uk/pub/databases/emdb/structures/EMD-2660/map/emd_2660.map.gz . | |||
gunzip emd_2660.map.gz | |||
</code> | |||
Our collaborator in Stockholm, Erik Lindahl, has made a useful [http://www.cryoem.se/relion-gpu blog with GPU hardware recommendations]. Briefly, you'll need an NVIDIA GPU with [https://en.wikipedia.org/wiki/CUDA#GPUs_supported a CUDA compute ability of at least 3.0], but you don't need the expensive double-precision NVIDIA cards, i.e. the high-end gamer cards will also do, but do see Erik's blog for details! Note that 3D auto-refine will benefit from 2 GPUs, while 2D and 3D classification can be run just as well with 1 GPU. Apart from your GPUs you'll need a decent amount of RAM on the CPU (at least 64Gb), and you may also benefit from a fast (e.g. a 400Gb SSD!) scratch disk, especially of your working directories will be mounted over the network connecting multiple machines. | |||
Revision as of 12:49, 5 October 2016
Standard benchmarks
With the addition of GPU-acceleration to release 2.0, standard benchmarks to compare the performance of new hardware has become more necessary than ever. Therefore, we suggest the following standard tests on the Plasmodium ribosome data set presented in Wong et al, eLife 2014:
ascp -QT -l 2G -i ~/.aspera/connect/etc/asperaweb_id_dsa.openssh emp_ext@fasp.ebi.ac.uk:archive/10028/data/Particles .
wget ftp://ftp.ebi.ac.uk/pub/databases/emdb/structures/EMD-2660/map/emd_2660.map.gz .
gunzip emd_2660.map.gz
Our collaborator in Stockholm, Erik Lindahl, has made a useful blog with GPU hardware recommendations. Briefly, you'll need an NVIDIA GPU with a CUDA compute ability of at least 3.0, but you don't need the expensive double-precision NVIDIA cards, i.e. the high-end gamer cards will also do, but do see Erik's blog for details! Note that 3D auto-refine will benefit from 2 GPUs, while 2D and 3D classification can be run just as well with 1 GPU. Apart from your GPUs you'll need a decent amount of RAM on the CPU (at least 64Gb), and you may also benefit from a fast (e.g. a 400Gb SSD!) scratch disk, especially of your working directories will be mounted over the network connecting multiple machines.