{"id":10092,"date":"2022-09-08T16:03:43","date_gmt":"2022-09-08T20:03:43","guid":{"rendered":"https:\/\/starlightcascade.ca\/blog\/?p=10092"},"modified":"2022-09-08T16:03:43","modified_gmt":"2022-09-08T20:03:43","slug":"autostakkert-cpu-and-ram-part-1","status":"publish","type":"post","link":"https:\/\/starlightcascade.ca\/blog\/2022\/09\/autostakkert-cpu-and-ram-part-1\/","title":{"rendered":"Autostakkert, CPU and RAM part 1"},"content":{"rendered":"

Greetings!
\nThis is Autostakkert! v3.1.4 – 64 bit
\n\"\"<\/a><\/p>\n

I have gone through three computers in the last two years, that I use for astronomical image processing. Each one was a little faster than the others and where we stand today is a fairly new
\nIvanova2021 win10pro64bit 21H2\tCore I5-6500 @3.2GHz, 8GB; 240GB SSD\t8GB DDR4 1x8GB (4 slots)\tsda 240GB SSD lexar sdb 6TB WDBlue data; sdc 4TB external USB3 data backup\t1920×1080 HDMI;\t6xUSB3; 2xUSB2\t$260CDN x2DP,x1VGA BIOS 2021Nov18<\/p>\n

And it is still TOO SLOW. I think that maybe I am processing larger images, to higher degrees of quality? So I thought.. where may there be a potential bottleneck? Don’t know… have to run some benchmarks.<\/p>\n

So I took a sample image, filename: 2022-09-03-0312_9_kk-L-Jupiter.ser
\nfilesize 5,339,633KB = 5.3GB
\n8522 frames, 8bpp
\nfile on local C:\\data SSD drive
\nAnd ran it through autostakkert! v3 four times, increasing the thread options from 1\/4 to 4\/4.
\nThere is INDEED a difference!
\nThe process was the best 10% using 75 Alignment points, drizzle x1.5 and saved as a .PNG
\nThe CPU% and RAM% did increase and the processing time did drop:<\/p>\n

number of threads 1
\nCPU% 27%
\nRAM GB 3.8
\nstacking time 1017 sec <\/p>\n

number of threads 2
\nCPU% 40%
\nRAM GB 3.9
\nstacking time 527 sec <\/p>\n

number of threads 3
\nCPU% 55%
\nRAM GB 5.6
\nstacking time 363 sec <\/p>\n

number of threads 4
\nCPU% 75%
\nRAM GB 5.6
\nstacking time 327 sec <\/p>\n

So far so good… use all the threads. Next up.. RAM. at 8GB and it seems that autostakkert uses all of what is available.
\nSoooo.. we have ordered more RAM and will rerun the above processes with 16GB onboard! DDR4 !<\/p>\n","protected":false},"excerpt":{"rendered":"

Greetings! This is Autostakkert! v3.1.4 – 64 bit I have gone through three computers in the last two years, that I use for astronomical image processing. Each one was a little faster than the others and where we stand today is a fairly new Ivanova2021 win10pro64bit 21H2 Core I5-6500 @3.2GHz, 8GB; 240GB SSD 8GB DDR4 […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,15],"tags":[],"class_list":["post-10092","post","type-post","status-publish","format-standard","hentry","category-astronomy","category-tech"],"_links":{"self":[{"href":"https:\/\/starlightcascade.ca\/blog\/wp-json\/wp\/v2\/posts\/10092","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/starlightcascade.ca\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/starlightcascade.ca\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/starlightcascade.ca\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/starlightcascade.ca\/blog\/wp-json\/wp\/v2\/comments?post=10092"}],"version-history":[{"count":1,"href":"https:\/\/starlightcascade.ca\/blog\/wp-json\/wp\/v2\/posts\/10092\/revisions"}],"predecessor-version":[{"id":10094,"href":"https:\/\/starlightcascade.ca\/blog\/wp-json\/wp\/v2\/posts\/10092\/revisions\/10094"}],"wp:attachment":[{"href":"https:\/\/starlightcascade.ca\/blog\/wp-json\/wp\/v2\/media?parent=10092"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starlightcascade.ca\/blog\/wp-json\/wp\/v2\/categories?post=10092"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starlightcascade.ca\/blog\/wp-json\/wp\/v2\/tags?post=10092"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}