Sunday, January 30, 2022

NTP Time Accuracy report 9:48 AM RS

NTP Time Accuracy report 9:48 AM RS


Time optimizes & secures our network & provides crypto RAND : Why can't we answer more? @1ClockCycle * 200000 @1% CPU + SSL & TLS & TSL (Transaction Security layer) :

If you want to tier 1 to 3 : clearly and openly source from t1 as your main priority, GSM is clearly 3G+ 4G + 5G & obviously has sweet traffic if you connect a mobile box!

However Satellite sources EG locators are a primary source, however in the past
(Upto 5 minutes discrepancy in 1996) :

So a satellite receiver IS a primary T1 source & clearly big antenna arrays are a primary proven quality, GSM or a university with both a DISH & atomic clock regulator : Being realistic though! Gravity waves cause differential : RS 2022-01


*145.238.203.14 .MRS. 1 u 24 64 375 31.165 +23.023 3.720
+62.108.36.235 40.95.204.66 3 u 49 64 375 43.421 +23.321 10.071
+193.52.184.106 .LTFB. 1 u 16 64 277 42.448 +25.057 3.641
+162.159.200.123 10.19.12.255 3 u 25 64 375 31.224 +24.133 1.413
+132.163.97.6 .NIST. 1 u 68 64 376 152.252 +23.785 6.087
+204.9.54.119 .GPS. 1 u 23 64 375 122.251 +23.415 9.097
+82.64.203.110 .GPS. 1 u 59 64 357 33.211 +23.449 7.489
+65.100.46.164 .SOCK. 1 u 28 64 375 178.048 +22.276 7.227
#185.216.231.116 52.239.121.49 3 u 5 64 377 172.191 +26.606 6.876
+216.239.35.8 .GOOG. 1 u 7 64 357 34.040 +23.026 18.504
+131.176.107.13 .MRS. 1 u 9 64 337 46.816 +22.210 11.299
+129.134.27.123 .FB... 1 u 16 64 377 46.187 +23.891 10.263
#104.194.242.237 127.67.113.92 2 u 174 64 374 169.249 +28.483 6.345
#40.119.148.38 25.66.230.4 3 u 40 64 375 40.506 +29.784 13.406
78.121.185.77 .STEP. 16 u 12h 1024 0 0.000 +0.000 0.000
+139.143.5.30 139.143.45.145 2 u 170 64 174 39.670 +23.620 7.925
+139.143.5.31 139.143.45.145 2 u 28 64 335 40.564 +22.166 6.807
+130.159.196.118 193.62.22.90 2 u 60 64 177 49.497 +22.928 10.997
78.121.191.46 .STEP. 16 u - 1024 0 0.000 +0.000 0.000
172.66.43.67 .STEP. 16 u - 1024 0 0.000 +0.000 0.000
+162.159.200.1 10.19.12.255 3 u 45 64 275 31.572 +23.871 4.540
+51.158.147.92 131.188.3.220 2 u 55 64 377 39.000 +22.102 5.628
+132.163.97.3 .NIST. 1 u 43 64 175 151.470 +22.629 7.905
#200.160.7.197 .GPS. 1 u 24 64 375 225.888 +28.540 5.028

https://is.gd/SecNTP4U

https://is.gd/AppCache2m

https://is.gd/AppCacheJSZip

https://is.gd/LinuxHPCNode

https://bit.ly/VESA_BT

*RAND OP Ubuntu : https://manpages.ubuntu.com/manpages/trusty/man1/pollinate.1.html

https://pollinate.n-helix.com

Each Zip presents 8 x 1MB present 2048 x 4096KB HASH Object or if you probably like 8100+ Multi sorted HASH RAND Objects : 8 Way sorted & hashed : RS 2022-02-02

* Time Server Pools


NTP , PTP (time services) & DNS ntp16.nx7v.icu node, 100MB in & out (Current) Latency 17ms

NTP , PTP (time services) & DNS ntp16.dn.n-helix.com node capacity superb ;)


google, FB

esa

CF


*



*

*ntp-p1.obspm.fr .MRS. 1 u 471 512 367 10.828 +1.165 0.485
+time1.esa.int .MRS. 1 u 1 512 367 22.276 +0.104 2.667
+saturne.obs-bes .LTFB. 1 u 76 512 337 20.155 +1.469 1.894
+dns.3eck.net 126.181.115.189 3 u 10 512 377 30.528 -1.234 0.459
#time-c-b.nist.g .NIST. 1 u 32 512 373 129.406 +0.025 1.333
+time.cloudflare 10.19.12.255 3 u 43 512 337 9.288 +1.586 0.718
+ntp.your.org .GPS. 1 u 30 512 367 100.022 +2.367 2.160
+bethany.fangfuf 193.204.114.232 2 u 30 512 337 14.408 +1.358 0.278
#r3s1stanc3.me 184.255.239.151 4 u 512 512 377 14.254 -3.834 0.253
#ns2.att.wlg.tel 131.203.16.6 2 u 476 512 367 293.444 -0.789 0.268
+time3.google.co .GOOG. 1 u 492 512 377 14.309 +1.211 0.700
+time4.facebook. .FB... 1 u 35 512 337 9.844 +1.361 1.428
#router-vzb.serv 193.52.136.2 3 u 29 512 367 10.695 +0.078 2.637
+51.145.123.29 25.66.230.2 3 u 505 512 377 17.403 +1.435 1.496
+ntp1.cis.strath 193.62.22.90 2 u 250 512 367 27.780 +1.240 1.131
+time2.google.co .GOOG. 1 u 59 512 377 13.367 +1.436 0.330
+time.cloudflare 10.19.12.255 3 u 108 512 337 9.217 +1.960 0.860
+178.249.167.0 ( 138.96.64.10 2 u 105 512 367 15.412 +3.468 0.442
#time-a-b.nist.g .NIST. 1 u 30 512 377 129.818 +0.546 0.388
#62.108.36.235 ( 40.95.204.66 3 u 133 512 377 22.604 +0.851 1.367

*145.238.203.14 .MRS. 1 u 219 256 377 9.933 +0.284 1.756
+131.176.107.13 .MRS. 1 u 12 256 377 22.488 -0.634 0.463
+193.52.184.106 .LTFB. 1 u 46 256 377 20.052 +0.304 1.814
+62.12.167.109 126.181.115.189 3 u 41 256 377 29.533 -2.098 0.209
#132.163.96.3 .NIST. 1 u 7 256 377 130.010 +0.120 1.695
+162.159.200.1 10.19.12.255 3 u 28 256 377 8.865 +1.104 3.641
+204.9.54.119 .GPS. 1 u 9 256 377 99.192 +1.234 2.576
+151.80.32.71 193.204.114.233 2 u 11 256 377 14.897 +0.409 2.913
#37.187.101.179 184.255.239.151 4 u 240 256 377 13.753 -4.953 1.743
#103.242.70.5 131.203.16.6 2 u 226 256 377 293.146 -1.442 2.088
+216.239.35.8 .GOOG. 1 u 259 256 377 13.548 +0.470 1.384
+129.134.26.123 .FB... 1 u 8 256 377 9.618 +0.364 0.388
#194.177.34.116 193.52.136.2 3 u 17 256 377 9.282 -0.588 0.169
+51.145.123.29 25.66.230.1 3 u 240 256 377 17.663 +0.752 0.656
#130.159.196.117 193.62.22.66 2 u 222 256 377 27.708 +2.997 2.300
+216.239.35.4 .GOOG. 1 u 245 256 377 13.879 +0.284 1.821
+162.159.200.123 10.19.12.255 3 u 26 256 377 8.629 +0.921 0.813
+178.249.167.0 138.96.64.10 2 u 23 256 377 14.712 +2.366 0.563
+132.163.96.1 .NIST. 1 u 29 256 377 129.839 -0.184 1.422
#62.108.36.235 40.95.204.66 3 u 255 256 377 23.121 -0.212 1.319

*ntp-p1.obspm.fr .MRS. 1 u 226 256 377 10.356 +0.759 0.548
+time1.esa.int .MRS. 1 u 21 256 377 22.389 -0.262 0.740
+saturne.obs-bes .LTFB. 1 u 48 256 377 20.052 +0.304 0.785
+dns.3eck.net 126.181.115.189 3 u 32 256 377 29.533 -2.098 0.329
#time-c-b.nist.g .NIST. 1 u 19 256 377 130.035 +0.162 0.486
+time.cloudflare 10.19.12.255 3 u 67 256 377 9.186 +1.694 1.482
+ntp.your.org .GPS. 1 u 49 256 377 98.802 +1.585 1.093
+bethany.fangfuf 193.190.230.65 2 u 57 256 377 14.257 +0.570 1.307
#r3s1stanc3.me 184.255.239.151 4 u 18 256 377 13.753 -4.953 1.343
#ns2.att.wlg.tel 131.203.16.6 2 u - 256 377 293.146 -1.442 2.090
+time3.google.co .GOOG. 1 u 32 256 377 13.570 +0.395 1.257
+time4.facebook. .FB... 1 u 43 256 377 9.618 +0.364 0.396
#router-vzb.serv 193.52.136.2 3 u 44 256 377 9.282 -0.588 0.297
+51.145.123.29 25.66.230.1 3 u 260 256 377 17.364 +1.530 0.765
#ntp1.cis.strath 193.62.22.66 2 u 14 256 377 27.688 +3.240 0.212
+time2.google.co .GOOG. 1 u 49 256 377 14.013 +0.228 0.918
+time.cloudflare 10.19.12.255 3 u 99 256 377 8.616 +1.204 0.441
+178.249.167.0 ( 193.190.230.65 2 u 112 256 377 14.736 +1.826 1.028
#time-a-b.nist.g .NIST. 1 u 42 256 377 129.704 +0.126 1.547
#62.108.36.235 ( 40.95.204.66 3 u 81 256 377 22.682 +0.575 1.735

Sunday, January 2, 2022

SBTM: Source Based Tone mapping : (c)RS

SBTM: Source Based Tone mapping : (c)RS


Feel source based may be good if one knows the ICC Profiles of the display

Definite reason : Desktop windows with multiple ICC Colour pallets Dynamic Colour Range.

Example: We take desktop of Mac, PC, Phone & Define Master ICC Profile Frame buffer, We take small windows & Define a colour gamut & WCG & Dynamic range..

Within a frame buffer of 48Bit by blitting + DMA from a Sub Cache Multiple window with multiple memory frames that are meta data enabled small memory footprint & Multiprocessing & Threading enabled.

We can therefor with VRR load a single part of the frame; On a 8 Core CPU with AVX & SiMD quite relevant!

We can single frame tone-map from source & from TV to advantage total transmittable data (Only 48GB/s!)

Screen composure: Multi Window HDR and Variable pallet screen composure for monitors,
Computers & TV & GPU DAC


2 primary methods:

Full Light spectrum Composure frame with Palleted Virtual boxed renders
(can be 8Bit, 15Bit, 16Bit, 24Bit, 32Bit, 40Bit, 48Bit)
With HSL Light to dark (Composed on Dark, Alpha)
with Light spectrum in 8Bit, 10Bit, 12Bit, 14Bit, 16Bit per channel.

Frame buffer source can be Meta Data by spectrum & Light range :
HSL L<>D 8Bit <> 16Bit (Alpha Channel) + R,G,B 8Bit <> 16Bit per channel
+ Frame rendered in colour space..

& Dither down on DAC

Or Render all frames in the same Bit Depth & compose in linear colour space 48Bit & Dither down on DAC

Composure into high colour space saves RAM but does allow the final composure layer to dither into a higher colour range 48Bit for example with 16Bit colour pallets in the frame buffer.

Rupert S https://science.n-helix.com

https://bit.ly/VESA_BT

Colour Range Example Final Fantasy XVI HDR

https://www.youtube.com/watch?v=vFtqbjf1jjI

Cut Negativity but answers are to be found!

Research topic RS : https://is.gd/Dot5CodecGPU https://is.gd/CodecDolby https://is.gd/CodecHDR_WCG https://is.gd/HPDigitalWavelet