Difference between revisions of "User:Troels Emtekær Linnet"
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| − | = | + | = Google Cloud Computing = |
This follows the same idea as from [[Run_relax_at_cloud.sagemath.com|Run relax at cloud.sagemath.com]] | This follows the same idea as from [[Run_relax_at_cloud.sagemath.com|Run relax at cloud.sagemath.com]] | ||
| + | |||
| + | === pricing === | ||
| + | For this example of '''Google Cloud Computing''', we wan't to have access to as many computer cores as possible | ||
| + | |||
| + | * The pricing explained here: https://cloud.google.com/pricing/ | ||
| + | * A pricing calculator is here: https://cloud.google.com/products/calculator/ | ||
| + | |||
| + | For calculation of: | ||
| + | * '''1''' server | ||
| + | * using '''Free: Debian, CentOS, ...''' | ||
| + | * with a '''regular''' VM Class | ||
| + | * Instance type of (HIGH CPU) '''n1-highcpu-32 (vCPUs: 32, RAM: 28.80 GB)''' | ||
| + | * 0 '''SSD''' | ||
| + | * Datacenter location '''Europe''' | ||
| + | * And running '''24 hours per day | ||
| + | * With '''7''' Average days per week each server is running. | ||
| + | The '''monthly''' price was of November 2015, $140.16. | ||
Revision as of 12:02, 28 November 2015
Troels Emtekær Linnet PhD student Copenhagen University SBiNLab
Contents
Tests
<include src="https://raw.github.com/Pymol-Scripts/Pymol-script-repo/master/cyspka.py" />
Test2
<include src="http://www.ietf.org/rfc/rfc1945" />
Test DPL imagecontainer=Screenshots
[[%PAGE%|thumb|185px|A random relax screenshot. See Screenshots.]]
SeriesTab
ls -v -d -1 */*.ft2 > allplanes.list
cd analysis_FT/int_corr_ft_method_all_awk/coMDD seriesTab -in peaks.dat seriesTab -in ../../peaks.dat -out allplanes_coMDD_ser.ser -list allplanes_coMDD.list
Test randomimagebycategor
Test
from math import pi
from lib import nmr
from lib.physical_constants import return_gyromagnetic_ratio
id = 'test'
H_frq = 900.0e6
B0_tesla = H_frq / return_gyromagnetic_ratio(nucleus='1H') * 2.0 * pi
print "B0 in Tesla:", B0_tesla
isotope = '15N'
yOBS_N15_rad_s = return_gyromagnetic_ratio(nucleus=isotope) * B0_tesla
yOBS_N15_ppm = nmr.frequency_to_ppm_from_rad(frq=yOBS_N15_rad_s, B0=H_frq, isotope=isotope)
print yOBS_N15_ppm
# Convert hz
offset_hz = 2100.
offset_ppm = nmr.frequency_to_ppm(frq=offset_hz, B0=H_frq, isotope=isotope)
print offset_ppm
#yOBS_rad_s = return_gyromagnetic_ratio(nucleus=isotope) * B0_tesla
#print yOBS_rad_s
#yOBS_ppm = nmr.frequency_to_ppm_from_rad(frq=yOBS_rad_s, B0=H_frq, isotope=isotope)
#print yOBS_ppm
# Center carriage In ppm
yCAR_ppm = 118.078
Google Cloud Computing
This follows the same idea as from Run relax at cloud.sagemath.com
pricing
For this example of Google Cloud Computing, we wan't to have access to as many computer cores as possible
- The pricing explained here: https://cloud.google.com/pricing/
- A pricing calculator is here: https://cloud.google.com/products/calculator/
For calculation of:
- 1 server
- using Free: Debian, CentOS, ...
- with a regular VM Class
- Instance type of (HIGH CPU) n1-highcpu-32 (vCPUs: 32, RAM: 28.80 GB)
- 0 SSD
- Datacenter location Europe
- And running 24 hours per day
- With 7 Average days per week each server is running.
The monthly price was of November 2015, $140.16.
