ESA Space blog - All Rights Reserved RS: 2018

Friday, December 28, 2018

RNG Sources Examined

Entropy Ring Sources Examined

Chaos Entropy Pollinate Linux
Ubuntu cloud pollinators

"As can be seen there are still grand hopes of perfection, Sources can be purer..
Developments can surely be made to further improve the pool potential for RING Random/Chaos/Entropy sources
Further improvements to improve the future of cryptography are encouraged..
The signs are reliable progress will improve the system futures.

RS"

FIPS 140-2 successes: 1000 : 100% pure Chaos Rand : Ubuntu : perfectly random security : Updated

https://developers.cloudflare.com/argo-tunnel/reference/how-it-works/

/etc/cloudflared/config.yml

hostname: pollen-ub.n-helix.com
url: http://localhost
logfile: /var/log/cloudflared.log
compression-quality: 3
proxy-dns: true
proxy-dns-upstream:
- https://1.1.1.1/dns-query
- https://1.0.0.1/dns-query
proxy-dns-port: 53
autoupdate-freq: 6h
loglevel: debug
transport-loglevel: debug

https://github.com/dustinkirkland/pollinate

https://is.gd/Entropy

((100 bytes * 60) * 60) * 24 = 8.64 megabytes Rand per device ( Average is higher or lower than 100 )

21.3K+ Rand Entropy pollinate requests served in 12 hours average : #Pollinate #Ubuntu

AMD Ryzen & thread ripper have rand RNG/TPM units and are great pollinator nodes.
submit your pollinator nodes to security(at)ubuntu.com
use https://www.dynu.com/en-US/ to make a entropy.dyndns.net (for example) and send that to ubuntu security please.

Cryptographic Hardware RAND sources

"Why not Cloud providers like IBM, Amazon & google for RAND, Entropy .. Cryptographic TPM Hardware RND with great PRNG to improve security?
Cloud Providers are a most excellent source for Chaotic Entropy & provide true random chaotic sources for cryptographic ready RAND,
Additionally they provide most excellent resources to further the expansion of internet intellectual property.

By providing additional sources to the support at https://ubuntu.com the merits of expanding the data pool for linux research rand expound upon the needs of the many,
Requiring few manual regulatory examinations to certify the unlikely events leading to system insecurities or predictability,
The systems will be majorly improved on the factors of reliability & community drive.

By Creating the system that secures the internet Linux Ubuntu creates a key new market in the world of cyber security, Further forwards the science of Matter; Physics and Gaming,
Nexgen code has no barriers for greater utilisation of surprise & the fact we no longer have a clue what gaming plots really contain or what dynamic system flow will show about the efficiency and function of our technology..

Chaotic entropy enables the mapping of weather; Engine gas & other viscus fluid, liquid, gas and materials..
Secure internet & Enhanced cyclic butterfly effect creations, Research, Gaming.. Design & utility.

With this Chaotic Entropy & life expanding rand we will be able to do so much..
Thanks to Debian sourced linux distributions like Ubuntu we are able to produce..
100% certified chaos for research,Science,Engineering, Security & Gaming / Lotto / Casino Royal events..
Totally life changing.

RS"

Statistics

FIPS Records 2019-01-07

https://drive.google.com/open?id=1E8gxUN0NfmDGNT-eDK46sREySUrBlP67

Statistics

sonex-reg@n-helix-com:~$ cat /proc/sys/kernel/random/entropy_avail

3555

sonex-reg@n-helix-com:~$ cat /dev/random | rngtest -c 40000

rngtest 5

rngtest: starting FIPS tests...

rngtest: bits received from input: 800000032

rngtest: FIPS 140-2 successes: 39965

rngtest: FIPS 140-2 failures: 35

rngtest: FIPS 140-2(2001-10-10) Monobit: 4

rngtest: FIPS 140-2(2001-10-10) Poker: 1

rngtest: FIPS 140-2(2001-10-10) Runs: 11

rngtest: FIPS 140-2(2001-10-10) Long run: 19

rngtest: FIPS 140-2(2001-10-10) Continuous run: 0

rngtest: input channel speed: (min=959.531; avg=14970.406; max=19531250.000)Kibits/s

rngtest: FIPS tests speed: (min=1.630; avg=82.952; max=161.640)Mibits/s

rngtest: Program run time: 61397903 microseconds

sonex-reg@n-helix-com:~$ cat /proc/sys/kernel/random/entropy_avail

3193

sonex-reg@n-helix-com:~$ top -c

top - 21:00:44 up 21:01, 1 user, load average: 3,07, 3,23, 5,04

Tasks: 325 total, 1 running, 245 sleeping, 0 stopped, 1 zombie

%Cpu(s): 10,8 us, 1,5 sy, 0,0 ni, 87,4 id, 0,1 wa, 0,0 hi, 0,2 si, 0,0 st

KiB Mem : 24691920 total, 12718944 free, 8498344 used, 3474632 buff/cache

KiB Swap: 41921548 total, 41921548 free, 0 used. 15723984 avail Mem

A cascade of mono-bit shredders ... and long runs show considerable thought is required for RND development.

sonex-reg@n-helix-com:~$ cat /proc/sys/kernel/random/entropy_avail
3545
sonex-reg@n-helix-com:~$ cat /dev/random | rngtest -c 25000
rngtest 5
Copyright (c) 2004 by Henrique de Moraes Holschuh

rngtest: starting FIPS tests...
rngtest: bits received from input: 500000032
rngtest: FIPS 140-2 successes: 24981
rngtest: FIPS 140-2 failures: 19
rngtest: FIPS 140-2(2001-10-10) Monobit: 2
rngtest: FIPS 140-2(2001-10-10) Poker: 3
rngtest: FIPS 140-2(2001-10-10) Runs: 5
rngtest: FIPS 140-2(2001-10-10) Long run: 9
rngtest: FIPS 140-2(2001-10-10) Continuous run: 0
rngtest: input channel speed: (min=1.117; avg=14.647; max=19073.486)Mibits/s
rngtest: FIPS tests speed: (min=3.604; avg=81.979; max=161.640)Mibits/s
rngtest: Program run time: 38381555 microseconds
sonex-reg@n-helix-com:~$ cat /proc/sys/kernel/random/entropy_avail
3146
sonex-reg@n-helix-com:~$ top -c

top - 09:54:44 up 13:35, 1 user, load average: 3,79, 3,78, 3,21
Tasks: 359 total, 1 running, 280 sleeping, 0 stopped, 1 zombie
%Cpu(s): 8,9 us, 2,4 sy, 0,0 ni, 83,0 id, 5,6 wa, 0,0 hi, 0,1 si, 0,0 st
KiB Mem : 24691920 total, 9494520 free, 10551780 used, 4645620 buff/cache
KiB Swap: 41921548 total, 41921548 free, 0 used. 13641316 avail Mem

sonex-reg@n-helix-com:~$ cat /proc/sys/kernel/random/entropy_avail

3477
sonex-reg@n-helix-com:~$ cat /dev/random | rngtest -c 40000
rngtest 5
Copyright (c) 2004 by Henrique de Moraes Holschuh

rngtest: starting FIPS tests...
rngtest: bits received from input: 800000032
rngtest: FIPS 140-2 successes: 39975
rngtest: FIPS 140-2 failures: 25
rngtest: FIPS 140-2(2001-10-10) Monobit: 0
rngtest: FIPS 140-2(2001-10-10) Poker: 7
rngtest: FIPS 140-2(2001-10-10) Runs: 11
rngtest: FIPS 140-2(2001-10-10) Long run: 7
rngtest: FIPS 140-2(2001-10-10) Continuous run: 0
rngtest: input channel speed: (min=1.075; avg=14.661; max=19073.486)Mibits/s
rngtest: FIPS tests speed: (min=5.699; avg=78.753; max=160.281)Mibits/s
rngtest: Program run time: 61738871 microseconds
sonex-reg@n-helix-com:~$ cat /proc/sys/kernel/random/entropy_avail
3211
sonex-reg@n-helix-com:~$ top -c

top - 17:08:56 up 1 day, 16:42, 1 user, load average: 5,08, 5,28, 4,39
Tasks: 383 total, 1 running, 304 sleeping, 0 stopped, 2 zombie
%Cpu(s): 10,4 us, 2,4 sy, 0,0 ni, 81,2 id, 5,9 wa, 0,0 hi, 0,1 si, 0,0 st
KiB Mem : 24691920 total, 939216 free, 19678264 used, 4074440 buff/cache
KiB Swap: 41921548 total, 41921548 free, 0 used. 4331756 avail Mem

sonex-reg@n-helix-com:~$ cat /proc/sys/kernel/random/entropy_avail
3519
sonex-reg@n-helix-com:~$ cat /dev/random | rngtest -c 1000
rngtest 5
Copyright (c) 2004 by Henrique de Moraes Holschuh

rngtest: starting FIPS tests...
rngtest: bits received from input: 20000032
rngtest: FIPS 140-2 successes: 1000
rngtest: FIPS 140-2 failures: 0
rngtest: FIPS 140-2(2001-10-10) Monobit: 0
rngtest: FIPS 140-2(2001-10-10) Poker: 0
rngtest: FIPS 140-2(2001-10-10) Runs: 0
rngtest: FIPS 140-2(2001-10-10) Long run: 0
rngtest: FIPS 140-2(2001-10-10) Continuous run: 0
rngtest: input channel speed: (min=990.378; avg=15237.623; max=19531250.000)Kibits/s
rngtest: FIPS tests speed: (min=40.930; avg=75.822; max=145.599)Mibits/s
rngtest: Program run time: 1533851 microseconds
sonex-reg@n-helix-com:~$ cat /proc/sys/kernel/random/entropy_avail
3157
sonex-reg@n-helix-com:~$ top -c

top - 20:03:59 up 19:37, 1 user, load average: 1,53, 2,33, 2,57
Tasks: 378 total, 2 running, 294 sleeping, 0 stopped, 2 zombie
%Cpu(s): 10,6 us, 2,5 sy, 0,0 ni, 81,3 id, 5,5 wa, 0,0 hi, 0,1 si, 0,0 st
KiB Mem : 24691920 total, 6488632 free, 14951916 used, 3251372 buff/cache
KiB Swap: 41921548 total, 41921548 free, 0 used. 9183856 avail Mem

****
sonex-reg@n-helix-com:~$ cat /proc/sys/kernel/random/entropy_avail
3617
sonex-reg@n-helix-com:~$ cat /dev/random | rngtest -c 1000
rngtest 5
Copyright (c) 2004 by Henrique de Moraes Holschuh

rngtest: starting FIPS tests...
rngtest: bits received from input: 20000032
rngtest: FIPS 140-2 successes: 1000
rngtest: FIPS 140-2 failures: 0
rngtest: FIPS 140-2(2001-10-10) Monobit: 0
rngtest: FIPS 140-2(2001-10-10) Poker: 0
rngtest: FIPS 140-2(2001-10-10) Runs: 0
rngtest: FIPS 140-2(2001-10-10) Long run: 0
rngtest: FIPS 140-2(2001-10-10) Continuous run: 0
rngtest: input channel speed: (min=303.861; avg=15125.460; max=9765625.000)Kibits/s
rngtest: FIPS tests speed: (min=24.328; avg=63.635; max=145.599)Mibits/s
rngtest: Program run time: 1591605 microseconds
sonex-reg@n-helix-com:~$ top -c

top - 14:12:57 up 1 day, 13:59, 1 user, load average: 3,32, 3,57, 3,56
Tasks: 415 total, 3 running, 332 sleeping, 0 stopped, 1 zombie
%Cpu(s): 14,2 us, 3,4 sy, 0,0 ni, 81,5 id, 0,7 wa, 0,0 hi, 0,2 si, 0,0 st
KiB Mem : 16434388 total, 355552 free, 13389264 used, 2689572 buff/cache
KiB Swap: 41921548 total, 40637708 free, 1283840 used. 1393852 avail Mem

Rupert S

Friday, September 21, 2018

HPC Pack install guide

HPC Pack install guide : Science,Server & Web : (c)Rupert S

****

The point of this document is to make installing and managing HPC High Performance Computation possible,

To be clear A person or organisation that wishes to have high performance cloud nodes with docker..
Have the capacity to install Microsoft HPC pack & Docker, The configuration settings are at the top,
In the lower half are the docker VM's you can potentially use to University,Gamer & Corporate advantage.

Clearly the bat files make install easier than running individual commands one by one..
Both the bat files and the commands are in the document,
The work in this document took months & hereby is offered to the research community.

Firstly HPC pack should be installed on windows; However the docker configuration works on Linux..
However you have to first install Docker on for example Ubuntu,

Of-course the main server for Microsoft HPC pack needs to be windows (Preferably Server 2008/2016/2018),

Nodes can be Windows 7 to 10 & Server 2008 to 2018 & Linux (Mainly REDHAT,CentOS,Ubuntu,SuSE)

Personally CentOS rocks for servers, Ubuntu has professional server configurations & lots of options,RedHAT is the main line of secure server that registers all security & tests all.

In my experience RedHAT offers large corporation support; As do Ubuntu & CentOS & Obviously Microsoft offers full confidence.

Rupert S

****

Node configuration guidelines:

Head node,Workstation/Server

Nodes (potentially 2+)

Cloud nodes (potentially limitless)

RS

****

Example Plans :

Include every 8 to 256 core Compute node (Win Serve 2 Win 10) into the : Cfana Ridge Connect(tm)

Global Compute Network: Operational & functional: For every HPC Workstation 8 Core to 256 Core, 4gb RAM to 4Tb RAM

****

Linux HPC Node install

https://is.gd/LinuxHPCNode

****
# (c)RS Updates & Security
# Creates an efficient & Cohesive update policy that does not require huge thought..
# Also Security SSL
# Run as ADMIN
# https://is.gd/Security_BAT

https://www.microsoft.com/en-us/download/details.aspx?id=54507 Microsoft HPC Pack 2016 including linux

Router/Firewall ports:53,80,123,319,320,443,853,1812,1813,2377,2408,2480,3128,3130,5353,7680,7844,8080,11211

Router/Firewall ports HPC Pack: 53,80,123,319,320,443,853,1812,1813,1856,2377,2408,2480,3128,3130,5353,5800,5801,5969,5970,5974,5999,6729,6730,7680,7844,7997,8677,8080,9087,9090,9091,9092,9094,9095,9096,9794,9892,9893,11211

https://is.gd/HPCData_P

Windows server: Step 1

install Microsoft HPC Pack - Microsoft HPC Pack server/Workstation/Unmanaged server/node

Head Node
127.0.0.1,dn.n-helix.com,node.ns4v.icu,worldcommunitygrid.org,lhcathome.cern.ch,cern.ch,boinc.bakerlab.org,cloudflareworkers.com,cloudflare.com,cloud.sfr.fr,sfrcloud.sfr.fr,webrlb01.cern.ch,boincai01.cern.ch,8.8.4.4,1.1.1.1

You will need a server certificate such as a comodo or digicert or microsoft.. for the next page of hpc pack install,
A node address such as https://www.dynu.com for the node

https://www.gogetssl.com/compare-domain-sslcertificates/
https://certifytheweb.com/home/
https://letsencrypt.org/docs/client-options/

Docker though the install service

powershell Install-PackageProvider -Name NuGet -Force
powershell Install-Module -Name DockerMsftProvider -Repository PSGallery -Force
powershell Install-Package -Name docker -ProviderName DockerMsftProvider -Force

or run one of these instead of step 1 & 2:
For Intel GPU : https://is.gd/DockerIntelServerInstall
For Nvidia GPU : https://is.gd/DockerNvidiaServerInstall
For AMD GPU : https://is.gd/DockerAMDServerInstall

Windows 7/8/10: Step 1

install Microsoft HPC Pack node or workstation/server

Head Node
127.0.0.1,dn.n-helix.com,node.ns4v.icu,worldcommunitygrid.org,lhcathome.cern.ch,cern.ch,boinc.bakerlab.org,cloudflareworkers.com,cloudflare.com,cloud.sfr.fr,sfrcloud.sfr.fr,webrlb01.cern.ch,boincai01.cern.ch,8.8.4.4,1.1.1.1

You will need a server certificate such as a comodo or digicert or microsoft.. for the next page of hpc pack install,
A node address such as https://www.dynu.com for the node

https://www.gogetssl.com/compare-domain-sslcertificates/
https://certifytheweb.com/home/
https://letsencrypt.org/docs/client-options/

https://docker.com - docker CE for windows 7/8/10 install requiring download and install of docker community edition edge..

powershell Install-PackageProvider -Name NuGet -Force
powershell Install-Module -Name DockerMsftProvider -Repository PSGallery -Force
powershell Install-Package -Name docker -ProviderName DockerMsftProvider -Force
and then install docker CE

https://docker.com

run one of these after installing hpc pack & docker: Instead of Step 2

For Intel GPU : https://is.gd/DockerIntelServerInstall
For Nvidia GPU : https://is.gd/DockerNvidiaServerInstall
For AMD GPU : https://is.gd/DockerAMDServerInstall

Step 2 for both : Enable Kubernets in docker and set available CPU's & Resources then >

or do the admin : CMD List or run the script above >
admin : CMD

docker run --name railgun-memcached -d -p=127.0.0.1:11211:11211 -e https_proxy=http://127.0.0.1:3128 -e http_proxy=http://127.0.0.1:3128 -e ftp_proxy=http://127.0.0.1:3128 --restart=always memcached:latest

docker run -d --name=railgun -p 2408:2408 -e RG_ACT_TOKEN=ENTERapiTOKENHERE -e RG_ACT_HOST=127.0.0.1 -e RG_LOG_LEVEL=1 -e RG_WAN_PORT=2408 -e https_proxy=http://127.0.0.1:3128 -e http_proxy=http://127.0.0.1:3128 -e ftp_proxy=http://127.0.0.1:3128 --link railgun-memcached:memcached --restart=always rungeict/cloudflare-railgun

docker run -d --name=squid-memcached -p=127.0.0.1:3128:3128 -e RG_ACT_HOST=127.0.0.1 -e RG_LOG_LEVEL=1 -e https_proxy=http://127.0.0.1:3128 -e http_proxy=http://127.0.0.1:3128 -e ftp_proxy=http://127.0.0.1:3128 --link railgun-memcached:memcached --restart=always minimum2scp/squid

docker run -d --name=nuster-memcache -p=127.0.0.1:8080:8080 -p=127.0.0.1:443:443 -p=127.0.0.1:80:80 -e RG_ACT_HOST=127.0.0.1 -e RG_LOG_LEVEL=1 -e https_proxy=http://127.0.0.1:3128 -e http_proxy=http://127.0.0.1:3128 -e ftp_proxy=http://127.0.0.1:3128 --restart=always nuster/nuster

docker run --name binddns-resolver -d --restart=always -e https_proxy=http://127.0.0.1:3128 -e http_proxy=http://127.0.0.1:3128 -e ftp_proxy=http://127.0.0.1:3128 -p 53:53/tcp -p 53:53/udp -p 5353:5353/tcp -p 5353:5353/udp -p 10000:10000/tcp --volume /srv/docker/bind:/data sameersbn/bind

# to configure and update binddns-resolver : https://localhost:10000

# alternative requires to be configured docker run --name=binddns-resolver -d -p 53:53/udp -p 53:53 -d -p 5353:5353/udp -p 5353:5353 -e https_proxy=http://127.0.0.1:3128 -e http_proxy=http://127.0.0.1:3128 -e ftp_proxy=http://127.0.0.1:3128 -d --restart=always --volume /srv/docker/bind:/data unixtastic/bind-dnssec-resolver

# Do not forget that the first DNS server is 127.0.0.1

docker run --name nax-waf -e BACKEND_IP=127.0.0.1 -e KIBANA_PASSWORD=Safe5 -d --link railgun-memcached:memcached --restart=always scollazo/naxsi-waf-with-ui

docker exec squid-memcached curl http://127.0.0.1/

****

When you enable Kubernet in docker in the console (CMD) : kubectl: Kubernets ingress controller security: If you use cloudflared & or a local certificate : the HPC Certificate you got: https://kubernetes.io/

https://www.gogetssl.com/compare-domain-sslcertificates/

(CMD):

kubectl create secret generic 127.0.0.1 --from-file="$HOME/.cloudflared/cert.pem"

kubectl create secret generic localhost --from-file="$HOME/.cloudflared/cert.pem"

****

https://developers.cloudflare.com/argo-tunnel/reference/kubernetes/

RS https://science.n-helix.com

****

Selenium runs once - you need to re run it on boot

https://store.docker.com/community/images/selenium/standalone-chrome
https://github.com/SeleniumHQ/docker-selenium

docker run -d -it --rm -p=0.0.0.0:9222:9222 -p=0.0.0.0:443:443 --link railgun-memcached:memcached --name=chrome-headless-selenium -v /tmp/chromedata/:/data selenium/standalone-chrome

port : 4444

****
*waf firewall*
https://hub.docker.com/r/scollazo/naxsi-waf-with-ui/
docker pull scollazo/naxsi-waf-with-ui

*zend php stack is licenced*
https://hub.docker.com/_/php-zendserver/
docker pull php-zendserver

*nginx php stack*
https://hub.docker.com/r/richarvey/nginx-php-fpm/
docker pull richarvey/nginx-php-fpm

*node js*

https://hub.docker.com/r/mhart/alpine-node/
docker pull mhart/alpine-node

Proposed Base Configuration for faster node.js
https://nodejs.org/en/download/package-manager/

*Node.js package command suggestions:

npm install -g --save npm@latest amd random cacache pacote node-cache requirejs amd jquery crypto-js zlibjs pulverized @types/jqueryui get-google-fonts google-font-installer font-awesome @fortawesome/fontawesome-free bootstrap angular-bootstrap bootstrap-css-only util texture-compressor compress-images cdnjs jsdom canvas express @tensorflow/tfjs @tensorflow/tfjs-backend-wasm @tensorflow/tfjs-backend-webgpu @tensorflow/tfjs-backend-webgl onnxruntime-common onnxruntime-node onnxruntime-web onnxruntime-react-native @cloudflare/wrangler @cloudflare/ai

npm audit fix --force

#AfterWork
npm publish
ipfs-npm publish

linux node.js:

sudo apt-get update && sudo apt upgrade -y && sudo apt-get install cgroup-tools npm -y && sudo npm install --save npm@latest && sudo npm install --save npm@latest amd random cacache pacote node-cache requirejs amd jquery crypto-js zlibjs pulverized @types/jqueryui get-google-fonts google-font-installer font-awesome @fortawesome/fontawesome-free bootstrap angular-bootstrap bootstrap-css-only util texture-compressor compress-images cdnjs jsdom canvas express @tensorflow/tfjs @tensorflow/tfjs-backend-wasm @tensorflow/tfjs-backend-webgpu @tensorflow/tfjs-backend-webgl onnxruntime-common onnxruntime-node onnxruntime-web onnxruntime-react-native @cloudflare/wrangler @cloudflare/ai && sudo npm audit fix --force && sudo npm publish && sudo ipfs-npm publish

*squid cache*
https://hub.docker.com/r/minimum2scp/squid/
docker pull minimum2scp/squid

http://www.squid-cache.org/Intro/

A squid config file : https://is.gd/squid_conf
Needs to be in the folder > /etc/squid

*Nuster http Cache - needs configuration !*
https://github.com/jiangwenyuan/nuster
https://hub.docker.com/r/nuster/nuster/
docker pull nuster/nuster

*railgun*
https://www.cloudflare.com/docs/railgun/installation.html
https://www.cloudflare.com/docs/railgun/daemon_execution.html

https://hub.docker.com/r/rungeict/cloudflare-railgun/
docker pull rungeict/cloudflare-railgun

https://www.cloudflare.com/website-optimization/railgun/?r=1

*bind DNS*
https://hub.docker.com/r/sameersbn/bind/#introduction
docker pull sameersbn/bind

# to configure and update binddns-resolver : https://localhost:10000

****
dhcp servers

freeradius dhcp servers
https://hub.docker.com/r/freeradius/freeradius-server/
docker pull freeradius/freeradius-server
docker run -d --name my-radius -p 1812-1813:1812-1813/udp --restart=always freeradius/freeradius-server

RackHD dhcp server
https://rackhd.readthedocs.io/en/latest/
https://github.com/RackHD/
https://hub.docker.com/r/rackhd/isc-dhcp-server/
docker pull rackhd/isc-dhcp-server

docker run -d --name rackhd-dhcp -p 1812-1813:1812-1813/udp --restart=always rackhd/isc-dhcp-server

Alpine dhcp
https://hub.docker.com/r/joebiellik/dhcpd/
docker pull joebiellik/dhcpd
****

https://hackernoon.com/a-kubernetes-guide-for-docker-swarm-users-c14c8aa266cc

https://blog.alexellis.io/you-need-to-know-kubernetes-and-swarm/

Saturday, September 8, 2018

HPC - Compute Network - Boinc & Science - Telecoms

HPC Compute Network - Advise install - Windows & Linux Server by Rupert S

Operational achievement & field testing of HPC configuration.

You will need a server certificate such as a comodo or digicert or microsoft > https://www.gogetssl.com/compare-domain-sslcertificates/

Simple Final 4 - Test configuration - Operation : Help https://worldcommunitygrid.org , Boinc , Cloudflare , HPC & SFR SA .. Achieve dreams of computation that will exceed expectations of science today.

Install Microsoft HPC Pack 2016 or higher , performance HPC pro users ! including linux , for host settings of HPC Pack

For CCP_CONNECTIONSTRING & CCP_SCHEDULER ; Set in the install setup when installed.

The node address you enter for HPC pack for the nodes, load the certificate into the next page of install & root certificate!

CCP_CONNECTIONSTRING=127.0.0.1,dn.n-helix.com,nodes.hpc.n-helix.com,worldcommunitygrid.org,lhcathome.cern.ch,cern.ch,boinc.bakerlab.org,cloudflareworkers.com,cloudflare.com,cloud.sfr.fr,sfrcloud.sfr.fr,webrlb01.cern.ch,boincai01.cern.ch

CCP_SCHEDULER=127.0.0.1,dn.n-helix.com,nodes.hpc.n-helix.com,worldcommunitygrid.org,lhcathome.cern.ch,cern.ch,boinc.bakerlab.org,cloudflareworkers.com,cloudflare.com,8.8.4.4,cloud.sfr.fr,sfrcloud.sfr.fr,webrlb01.cern.ch,boincai01.cern.ch

**** Some Alternative HPC Paths that compliment Microsoft HPC Pack

https://docs.docker.com/get-started/

Kubernets K8's Docker comes with a version for local clusters
https://kubernetes.io/docs/concepts/
https://kubernetes.io/docs/setup/pick-right-solution/
https://kubernetes.io/docs/setup/pick-right-solution/#local-machine-solutions

docker containers of use & BOINC Host/Client VM Cloud Configuration.

docker pull kubernets/spinnaker-clouddriver
docker pull cloudnativelabs/kube-router
docker pull alpine
docker pull whatwedo/cloudflare-railgun
docker pull rungeict/cloudflare-railgun

docker run --name railgun-memcached -d -p=127.0.0.1:11211:11211 --restart=always memcached:latest

docker run --name=binddns-resolver -d -p 53:53/udp -p 53:53 -d -p 5353:5353/udp -p 5353:5353 -d --restart=always unixtastic/bind-dnssec-resolver

docker run -d --name=railgun -p 2408:2408 -e RG_ACT_TOKEN=ENTERTOKENHERE -e RG_ACT_HOST=127.0.0.0 -e RG_LOG_LEVEL=1 -e RG_WAN_PORT=2408 --link railgun-memcached:memcached --restart=always rungeict/cloudflare-railgun

Do not forget that the first DNS server is 127.0.0.1

docker run -d --name=squid-memcached -p=127.0.0.1:3128:3128 -e RG_ACT_HOST=127.0.0.1 -e RG_LOG_LEVEL=1 -e http_proxy=http://127.0.0.1:3128 --link railgun-memcached:memcached --restart=always minimum2scp/squid

docker run --name nax-waf -e BACKEND_IP=127.0.0.1 -e KIBANA_PASSWORD=Safe5 -d --link railgun-memcached:memcached --restart=always scollazo/naxsi-waf-with-ui

docker exec squid-memcached curl http://127.0.0.1/

https://store.docker.com/community/images/selenium/standalone-chrome
https://github.com/SeleniumHQ/docker-selenium

Selenium runs once - you need to re run it on boot

https://store.docker.com/community/images/selenium/standalone-chrome
https://github.com/SeleniumHQ/docker-selenium

port : 4444

https://store.docker.com/community/images/alpeware/chrome-headless-trunk
docker run -d -it --rm -p=0.0.0.0:9222:9222 -p=0.0.0.0:443:443 --name=chrome-headless -v /tmp/chromedata/:/data alpeware/chrome-headless-trunk

port : 9222

***

https://github.com/BOINC/boinc-client-docker
https://github.com/marius311/boinc-server-docker/blob/master/docs/cookbook.md
https://cosmicmar.com/2016/02/14/boinc-server-docker-1/

Our suggestion of boinc detection of docker (docker launch takes 15 seconds plus so boinc would have to wait for the process to initiate in the windows task manager before..

The initial detection system would launch for Container VM & also pull user data into the VM (the necessary ID from project add device & also set the VM and OS use for special case use and non generic project data,
Of special note is the use of Linux containers; This container potentially could batch multiple projects with finesse; In particular Science Linux and Alpine (for size and usability) (science kernel version is possible)

docker pull alpine - check this out!

Finally special contained secure environments for HPC Boinc Networking science is realised with relative technical aplume & thusly easily usable by the average; Non average user.

In other notes :

https://www.openfabrics.org/

http://www.opencompute.org/

https://openhpc.community/downloads/

https://azure.microsoft.com/en-us/resources/templates/slurm/

https://wikis.nyu.edu/display/NYUHPC/Slurm+Tutorial
https://wiki.hpc.uconn.edu/index.php/SLURM_Guide

Linux, Windows excetera HTCondor
https://research.cs.wisc.edu/htcondor/

Platform LSF will do much you can utilise, It runs on Windows. It is commercial, and can be purchased with support. https://www.ibm.com/it-infrastructure

****

waf firewall

https://hub.docker.com/r/scollazo/naxsi-waf-with-ui/
docker pull scollazo/naxsi-waf-with-ui

zend php stack is licenced

https://hub.docker.com/_/php-zendserver/
docker pull php-zendserver

nginx php stack

https://hub.docker.com/r/richarvey/nginx-php-fpm/
docker pull richarvey/nginx-php-fpm

node js

https://hub.docker.com/r/mhart/alpine-node/
docker pull mhart/alpine-node

squid cache

https://hub.docker.com/r/minimum2scp/squid/
docker pull minimum2scp/squid

***

alpine is a tiny linux with many apps very flexible 5mb

https://hub.docker.com/_/alpine/
docker pull alpine

If you are wondering what putty is in windows hpc pack,

Appearing to be SSH Shell client (console)

https://www.putty.org/

https://research.computing.yale.edu/support/hpc/user-guide/connect-windows-putty
http://inside.mines.edu/HPC-SSH-Putty

(C)Rupert S

Saturday, July 7, 2018

Univers/e/al Algebra - Paper

Creational diversification of universe creation though algebra expression.

Imagination and will power in the data space.

Universe,Integer,Float,Rand,Chaos - Computation.

Firstly Algebra fits all theories nicely in a mesh... will algebra hold onto all our data ?
To explain definitely but singularly!

Quantum physics is an export to algebra's precision...
or the input into algebra's certainty.

Expanding upon algebra with Expansion floats... Or returning to certainty from the clarity of quantum improbability..

Add to the theory of data and command execution and we may incert all code after the rules as long as we do not mind the result and the outcome.

Probable and usable theory creates rule sets for a universe even if not our own.

Thus we can provide a space for programing logic and algebra in universe creation, To provide the key pre expression note...

To consider the rules one may well define the layout of the source, "The Creative Machine".

Multiverse theory though mathematical, programmatical and chaos fractal origin.

(c)Rupert S

Combining these three allows complexity within subjective conception or to the observer a view of complexity in simplicity.

http://science.n-helix.com/2018/06/compression-libraries-index-prime.html
http://science.n-helix.com/2018/01/integer-floats-with-remainder-theory.html
http://science.n-helix.com/2018/07/universeal-algebra-paper.html

Saturday, June 23, 2018

Precision Psychology

Precision Psychology & Psycho-metrics

Data on precision from 1970 to 2000's study indicates that research requires funding - for publishing

However the conclusions test the dynamic of human consciousness & interestingly show that data within the learning brain will need multiple executions to further precision of the learner,
However that the dynamic of the individual varies from one person to another,

Thusally to advantage education the results indicate that the S.A.T testing of america does contain a certain validity,
Fundamentally the mind neural net contains a lower fidelity precision to retaining & re training data than humanity really feels entitled to!

Better training & Better use of graphs and tables; Better use of time allocated to training & learning; Improving the result may take many years,

Case studies such as degrees in doctoring & tailoring have been selectively modified for the average mean & ill suite perfect ideals & with lower precision to old data 4bit & 5 bit..

Experiments that have improved modern man/humanity are frankly advertisement or Visual testing & exploitation aka elections & voting, food & goods for example.

(c)Rupert S

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

https://www.zdnet.com/article/is-your-brain-analog-or-digital/

https://arxiv.org/ftp/arxiv/papers/1805/1805.01631.pdf

Tuesday, June 19, 2018

Uses for micro laser & light emitting sources

Uses for micro laser & light emitting sources - (c)RS

"@ThisWeekinHPC this is a pretty legendary research with quite a number of applications...
I have a few but no comment on what :L http://bit.ly/nanobeads"

"Scientists Create Continuously Emitting Microlasers With Nanoparticle-Coated Beads"
"Laser properties of 5-micron spheres"

"Angel Fernandez-Bravo, a postdoctoral researcher at Berkeley Lab’s Molecular Foundry, who was the lead author of study, mixed the beads with sodium yttrium fluoride nano-particles “doped,” or embedded, with thulium, an element belonging to a group of metals known as lanthanides. The Molecular Foundry"

****

Since the nano micro beads re emit ...

Controlling the signal allows for the following applications and more: (c)RS

Low power Fiber Ethernet...

Solar Batteries (the nano beads allow infrared to be emitted into solar cells over hours at optimum frequency)

Light bulbs that convert incandescent infrared heat sources into light...

Light emission conversion of high potential energy sources into pure light..

The creation of ultra low power usage light chips...

To provide power to satellites during the shadow times... (solar conversion)

To cool space ships by the emission of light on reflectors and or as controlled light sources during reentry & friction events... (space craft heat shielding)

Various functional usages such as lighting rooms from fire places, candles and other low emission sources such as body heat...

Emission of satellite download data into light sensors (they have to be shielded and latency will be low)

Network buffers and boosters...

Cohesive Light Computer Processors

Disordered Light Computer Processors

Low power Electro cell CPU/GPU/processors with conversion and light chip dynamic (tm)

(c)Rupert S

Nano foundry promotion & security

https://nano-foundry-lbl.org.hpc.n-helix.com/

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

Saturday, June 9, 2018

Compression Libraries - Index Prime

JPG / Math / Chaos Solve - Compression Libraries - Index Prime - Index fractal : (c) RS

Scientists have reformulated compression & JPG algorithms to create imprecise Math Libraries that improve the amount of data a logic X/Y Table can contain + N to the power of D

To be clear the principle works but does not lead a perfect accuracy...

However the use of advanced compression,

Algorithms like LZ and Br GZIP with further improve matters in the GPL Versions that we the consumer are allowed to make.. (Due to the fact that compression is at the very least STACKER or LZ & ZIP & JPG etcetera)

In short i personally lay claim to the foundations of compressed RAM/Arrays & Math units..

Including Decompression run-time and approximate similarity Compression with True Value Lossless compression (for details) & math solve fractal,

JPG / Math / Chaos Solve - Compression Libraries - Index Prime - Index fractal

Here signed (c) Rupert S

in reference to inspire

Wednesday, May 23, 2018

Matrix of density - Black holes RS

Black holes : Matrix of density

Such an ultra dense material as a black hole contains the density to compress the wave length,
In principle depending on the properties of the waves within the medium to infinity..
However due to the nature of differing waves the combining principle of the combined waveforms may diverge from the principles found within this universe,

The differences found in heavy bosons and wu particles for example mean that particles perceptibly differing in principle and action compared to matter density; energy; Gravity and fluctuations in quantum and other forces create divergence in principle over time.

Existence thusly is not always the same in principle or function & or action or potential.

(c)Rupert S

http://science.n-helix.com/2014/02/revolution-in-processor-clocks.html

Principally the compression and expansion of wave forms exists dependant upon how dense a material is, For example a sonic compression gun works by the effect as follows:

A wave of low or higher frequency (usually of unhearable ultrasound ...)
Passes through the air (relatively low density) & though an object such as a car, As the wave passes through the higher density matter the wavelength shortens and as the wave shortens it increases in energy yield,
Because the energy of the wave compresses into a smaller period of time.

Because of the sympathetic vibration & or simply because of the energy yield present in the wave..
The object fractures.

So in the case of black holes a space exists in a very small dot, The space in the dot is highly compressed in density & therefore the waves entering the dot increase in energy while the wavelength shortens..

All waves and fields diminish in measurable size & some field effects are affected, Loop, Reverse or change in polarity..
How gravity behaves on our worlds has little to do with the exact details of how force fields..
(The force fields interact with wave patterns by length & energy, The shift in wave form alters the effect)

As can be seen within this principle the wave form differs & so do the affected fields, Also the shift in density affects the fields shown by matter (One of the waveforms affected by density)

Examples of the density effect is the appearance of liquid, gas & solids..
In principle the differing wave length may be observed in the state, However as matter is formed of common "elements" like the proton,neutron,electron & under that mixture the energies of bosons W L

atoms obtain a combined field & a combined property, Energy level, audio, visual, sound & light..
Energy effects, the created effects of a matter waveform & combined waveform's form the existence & properties of matter & so many other subtle effects that affect & create reality.

Black holes can in this light be seen but not "SEEN" as examples of high density waveforms.

Gravity may be a subtle effect but not close to a super dense tight waveform & once that power becomes apparent, All matter invariably will compress within the density of its form.

****

Are black holes hot or cold :

Considering the information : Waveform compression increases the energy.. lengthening the wave lowers the average energy level over the waveform.

In consideration of this piece of information we can surmise the question are black holes hot or cold bodies in the following.

Compressed waves are higher energy per cm..

Increasing density limits the effect energy has on average because higher density matter needs more energy to be influenced energetically..

However the smallest motion that energy creates has a larger effect in higher density environments, However the higher mass of dense matter consumes more energy moving compared to for example gas.

How Many dimensions does a back hole have
How long a period of time exists within the black hole relative to the matter within it. (Time Period * (time period percentage compared to real time))*E / (dimensions * volume) = temperature over period of time

So hot black holes may have size limitations & be subject to hawking's radiation.
Cold blackholes may be subject to entropic loss & heat averaging.

Both are subject to time periods because of energy, However black holes may be neither hot or cold.

The mathematics are here & answer the question.

Reciprocal energy transfer BH-ATOM RS

Reciprocal energy transfer between levels, 1 for 1 ?
According to animation; quite reasonably inner energy within the bubble of an atom..
Trades force with an external bubble,

In theory the external bubble is the skin of a blackhole,
The basic logic is that a black hole being denser is in the same energy range as the atom,

Exchanging force; Therefore not losing energy information during Hawking radiation.
Cell to Cell transfer & by that we mean bubble boundaries is therefore most logically,

Following thermic law & generally higher energy to lower; Or Equivalent chaotic transfer.

Conservation of information/Energy is therefore proven & logical,
But no-one said that all the information has to be in the same order!

In the case of genetics, genetic transfer & physical interaction or atom smashing,
Or low power levels during brownout on computer chips?
Disorder & Chaos does come into play; Conservation of Energy does not guarantee exact replication.

In the case of Encryption & Cypher text & data & Compression; We have to prove that we Do in fact conserve data,
So proven to work; We do in fact have the proof we need to stipulate that:

Dark matter, Matter & Blackhole physics do indeed have a method to effectively Chaos Encrypt Data,
For our cause proving that we have no capacity to decipher the data; Does not prove that infinitely thought capacities beings will not be able to decipher.

Data preservation & thermodynamics does however potentiate our postulate & theorem of conservation,
Conservation of Energy, Mass & Time.

That is the logic.

(c)Rupert S https://science.n-helix.com

https://science.n-helix.com/2019/10/classic-physics.html

https://science.n-helix.com/2022/02/interrupt-entropy.html

Wednesday, May 9, 2018

ME - myalgic encephalomyelitis - chronic fatigue syndrome

Myalgic encephalomyelitis - chronic fatigue syndrome

ME/CFS disease : thoughts : for further research

I think this is possibly a form of tick illness : https://www.cdc.gov/ticks/diseases/index.html

Like Lyme disease; root symptoms will obviously be inflammatory in nature & probably bone and joint cartilage issues; So most likely contaminants are present in the blood or lymph nodes,

Fine grained examination is bound to find something, The Alternative is a metal poisoning like Lead.

Rupert S

Articles of excellent merit

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761639/

https://rarediseases.org/rare-diseases/myalgic-encephalomyelitis/

in reference to news story : https://www.thesun.co.uk/fabulous/6235179/chronic-fatigue-syndrome-me-and-me

treatment reference :

https://www.nhs.uk/conditions/chronic-fatigue-syndrome-cfs/

https://www.cdc.gov/me-cfs/symptoms-diagnosis/index.html

Compile open source - Run open source - Live Open Source Research

HPC Resources available for GPL Projects - https://portal.xsede.org/web/xup/resource-monitor

https://boinc.n-helix.com/trac/wiki/SourceCodeGit

(c)RS

Friday, March 9, 2018

Yuri Gagarin!

Today, March 9, marks the 84th anniversary of the birth of the first cosmonaut of the planet Yuri Gagarin!

Yuri Gagarin! you live again,
In flowers we present following forgotten lanes..
The memory of low oxygen through astro pane,
Determination; White light and pain!
Resuscitation;Resurrection.. you live again in god's sweet airplane!

Сегодня, 9 марта, исполняется 84 года со дня рождения первого космонавта планеты ЮРИЯ ГАГАРИНА!

Юрий Гагарин! вы живете снова,
В цветах мы представляем следующие забытые полосы.
Память о низком содержании кислорода через астропанель,
Определение; Белый свет и боль!
Реанимация, Воскресение ... вы снова живете в сладком самолете бога!

Rupert S

http://bit.ly/YuriGagarinPoster

Monday, February 19, 2018

programmable logic structures

How to really make inline ram and processing PLS - programmable logic structures.

Patent Rupert S

first of all you have to realise that the scale of the ram matters...

Two you have to matrix the ram module between the processing units..

on the die the ram modules do not necessarily have to be exactly matrixed between processing structures:

SIMD
FPU
Integer float
GPU - integer - float - matrix ram - cache - storage - EEC error correction
FPMG - re-programmable - neurological - classic evaluation
comparison theory - resistor logic (c)RS
ecetera

matrixed cross section, involves more wiring than line by line...

in line allow for micro channel fibre..
Inline channelling is a logical choice and considering 3D circuit designs a most probable solution..
Additionally the use of inline allows for wider data buffering and therefore for increased complexity of workload.
Threading involves passing data Over,Under,Through,sideways or around.

Each model has specific advantages

Pass-though = Additional modification.
Pass around = lack of circuit depth necessity.
3D = adaptable matrix but less heat loss and increased noise (can be managed and filtered.

Matrixed allows for more processing capacity to the ram and can still be micro channelled...

Classic cross-barring allows the matrix to be channelled to other unit's in the grid..
This is fast and however the importance of using compressed circuite design is very important..

3D - Matrixed allows for more processing capacity to the ram and can still be micro channelled...

Classic cross-barring allows the matrix to be channelled to other unit's in the grid..
This is fast and however the importance of using compressed circuit design is very important..
With 3 Dimensional design the network can combine both cross bar and light/Energy fibre channelling.

Overall 3D Matrixing is more liable to fail, to be more brittle and fragile..
However this design is a lot more capable and in addition will involve the capacity of variable data channel width.

(Copyright) Rupert S

FPPA PLS (c)RS Full Paper

Wednesday, January 17, 2018

Logos data & Time space dimensional relations.

Logos data & Time space dimensional relations.

Accrued data from the Ligo data seems to prove that gravity waves bounce around the particulate mass of the universe..
because the point map of the wave in 3D provides the picture,
That the data is imprecise and appears refracted though masses..

We can infer that the wave bends within the frame work of gravity & mass...

What precisely that signal is bouncing off of is unclear at this point,
To me that is probably the density of sub and higher space.. and or potentially mass interaction..
Logically this means that mass is held within a 3/4 etcetera dimensional web (space time),(Space (3),Time 1²Variable,Energy 1²xD,Mass,Quantum Fluctuation,Polarisation(spin),.

Not only held by but logically placed within that web; Statically in point position within the web..
What i mean by this is that the points within the web,
Are of a specific length to the same mass and also flexible relative to mass,
Thusly could potentially relate to black holes being in time relative matrix.

Mass creating waves is found in a location within space-time & data from radio waves (Suffering distortion or direction shifting parameters; Would move subtly & also shift in value or direction; Elongate or shorten in bandwidth (possibly temporarily).

Any measurement we can think of for the effects that gravity waves have are problematic because the variable is believably small, However the small details matter.

Relating the speed of light in comparison to the speed of gravity waves,
Tell us about the observable density of space and also about what we would call relational strings in space time.

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

Also two video's : the discovery of gravity wave from merging black holes at Ligo:

M.I.T

https://www.youtube.com/watch?v=XCygLIT824s

New Scientist

https://www.youtube.com/watch?v=B4XzLDM3Py8

(c)RS

***

While we encounter many measurable energy patters within our reality; So many of them require considerable effort to understand & also to measure,
However thankfully we recorded in great details from the 1950's onward & in every direction.

Underground detectors are able to detect both energies & movement; Therefor we are able to examine many factors, Examples are : Gravity waves, Universe or galaxy motion in space time due to vibration or mass & movement, Light,Radio (The electromagnetic spectrum), Energy value.

The reality is experimentation costs are ever larger & budgets will have to match, However the rewards for the scientific work may include : saving lives, progress, space ships, better technology (as examples)

***

Thankfully NGO Science collaborations like :

https://einsteinathome.org & https://setiathome.berkeley.edu are involved in examining the data we collect.

Paper on examining spectral interference by gravity wave by E@H.

The radio wave spectrum of the data set Cas A, Vela Jr. and G347.3 searches can & will be examined for other properties of the radio search; Such as the emission spectrum of the stars & also the type of signals received..

Such as the modulation of the waves where such data as we all need about stars will be found.. If only to find data that avoids error in SETI or spectral analysis for contained matter.

For Example the wave bands of the 3 neutron stars are 90% match for one another at the level of the spectrum graph.

However there are a few differences between the stats of the stars.. Maybe accounting for mas/age content & energy values, We can compare the 3 in a matrix to find the variable examination compared to known size, Spin rate & other factors for further research on size and age variable data.

(c)RS

integer floats with remainder theory

integer floats with remainder theory - copyright RS

The relevance of integer floats is that we can do 2 things:Float on Integer instruction sets at half resolution 32Bit Int > 16Bit.16Bit > 24Bit.8Bit > 28Bit.4BitRemainder theorem is the capacity to convert back and forth with data.

RAM/Memory and hard drive storage are major components & we also need to consider compression & color formats like DOT5

Machine learning & Server improvement: Files attached please utilise.

https://is.gd/ProcessorLasso

https://is.gd/3DMLSorcerer

Integer_Float Remainder op Form 1:(c)RS

The float is formed of 2 integers...

One being the integer and the remainder being the floating component....

thusly we need two integers per float for example 2 32bit integers will make one single float instruction....

integer A : Remainder B

A + B = float
(A + B) x (A²+B²)

= float C dislocating A and B by a certain number of places = a float that travels as the integer.

Expansion data sets:

A1 : B1
A2 : B2
Ar : Br

F1 : Bf1
F2 : Bf2
Fr : Bfr

A : Integer
F : Float
r : Remainder

The data set expansion can be infinite and the expansion of the data set doubles the precision,
With the remainder... infinite computation = infinite precision.

Not only that but the computation can be executed as an Integer or as a float or indeed with both.
Relevance is that on computers there are a lot of integer registers; Float also..
Also the data can be compressed in ram without using larger buffer widths.

copyright Rupert Summerskill

COP-Roll : (c)Rupert S

ROLL Operation Syntax : RS :(Integer & Float)

Processing Cache (displacement) Operation Roll Arithmetic Maths : For
Multiplication, Division, Addition & Subtraction : P-COR-SAM

*
Addressable by Compiler update, Firmware update, CPU/GPU Rules
Firmware, Bios, Operating System & Program/Machine Learning.

Machine Learning will considerably enhance Cache & Processor routine
operations efficiency & make rules for all developers & firmware
creators.

AI Machine Learning Optimization : https://is.gd/3DMLSorcerer
*

In a single loop a multiply of a float point precision of under 1 for example 0.00001 requires that:

In Integer float :

Multiply of a sum such as 15.05 * 3 is 2 operations:
(15 x 3) + ((roll 0.05 left 2 places)*3) = R=(5 x 3) + 45

In other words : 2 storage values R remainder (the float component) & the number,
However multiplication of a float such as 0.01 is a division in one example & a multiply roll in another,

Roll is a memory operation in CPU terms & is a single processor loop push

In all operations where division is banned we have to decide whether the operation is multiples or division of base value 10 or 1,10,100>,

Such an operation can be carried out by addition or subtraction or roll, Values such as 200* ,
Require multiple additions under the multiply is banned principle.

Multiple sets of memory arrays in a series parallel is the equivalent of multiplication through addition,

Subtraction through addition requires inverting the power phase of a single component array.

Thus we are able to addition and subtraction all sums ? traditional math solves have done this before,
Roll operations are our fast way to multiply;

However arrays of addition & subtraction are a (logical fast loop)..
Full Operation in a single cycle, Because there is no sideways roll.

However direct memory displacement between 010100 & 101000 can use a cache to displace a 1,
Such an arrangement such as a 4 digit displacement cache to roll the operation on memory transfer.

Displace on operation (cycle 2) does minimize operations.

Having that cache further up the binary pipeline does reduce the number of roll cache modifier buffers that we need,

However the time we save & the time we lose & the CPU space we lose or gain.. depends specifically how limited the Roll Cache is.

Integer_Float Remainder op Form 2:(c)RS

32Bit (2x16Bit) is the most logical for 32Bit registers

64Bit (2x32Bit) is the most logical for 32Bit registers

Byte Swap operation

Byte Inversion operation

For example DWord: 8

2 x DWord: 8 Bit Integer & 8 Bit 4 roll places & 4 Bit Value.

Displacing the value 4 bits in 8 makes the value an integer,

Alternatively Adaptive maths adds 0 as for example multiplication & removes it afterwards..

The usage of adaptation takes the second DWord & effectively makes it an accurate remainder.

In that example i believe one less operation is needed in the 16Bit example,

Operation example 2 uses an embedded multiply x 10 & divide after (to get resulting float)

32Bit memory space: 2x 16Bit Value, 1 Integer 16Bit & 1 0. value,

That can effectively be displaced 16 decimal places

The maths required as displayed above require inverting Multiply & Division,

For Mul & Div Ops on remainder; However does not when used finally:

In the FLOAT Unit FPU for large precision maths

This allows fully Integer CPU to do Float maths and store them as integer..

Both allowing fully the use of all registers & also storage as purely Integer_Float,

It also allows Full cache usage for SiMD,AVX & Vector Units.

Byte Inversion simply allows Byte Swap & Inversion to fully realise performance improvements..

& Also Byte Inversion maths.

SiMD,AVX,Vector : ByteSwap,Invert,Mul,Div etcetera Ergo Float compatible & Acceleration

Float : High Precision finalisation .. Lower Frequency = More potential

Integer + Byte Functions : Pure Acceleration with minimal loss Core Function utilisation

This is all algebra; Categorically.

https://science.n-helix.com/2021/02/multi-operation-maths.html

https://science.n-helix.com/2019/05/compiler-optimisation.html

https://science.n-helix.com/2020/01/float-hlsl-spir-v-compiler-role.html

Compiler books & reading : https://science.n-helix.com/2017/04/boinc.html

https://science.n-helix.com/2019/06/kernel.html

https://science.n-helix.com/2019/06/vulkan-stack.html

http://science.n-helix.com/2018/09/hpc-pack-install-guide.html

*****

Multi-line Packed-Bit Int SiMD Maths : Relevance HDR, WCG, ML Machine Learning (Most advantaged ADDER Maths)

The rules of multiple Maths with lower Bit widths into SiMD 256Bit (example) 64Bit & 128Bit & 512Bit can be used

In all methods you use packed bits per save, so single line save or load, Parallel, No ram thrashing.

You cannot flow a 16Bit block into another segment (the next 16Bit block)

You can however use 9 bit as a separator & rolling an addition to the next bit means a more accurate result!
in 32Bit you do 3 * 8bit & 1 * 4Bit, in this example the 4Bit op has 5 Bit results & The 8Bit have 9Bit results..
This is preferable!

2Bit, 3Bit, 4Bit Operation 1 , 8Bit Operations 3: Table

32Bit
4 : 1, 8 : 3

64Bit
4 : 2, 8 : 6
2 : 1, 7 : 8
3 : 1, 8 : 1, 16 : 3

Addition is the only place where 16Bit * 4 = 64Bit works easily, but when you ADD or - you can only roll to the lowest boundary of each 16Bit segment & not into the higher or lower segment.

A: In order to multiply you need adaptable rules to division & multiply
B: you need a dividable Maths unit with And OR & Not gates to segment the registered Mul SiMD Unit..

In the case of + * you need to use single line rule addition (no over flow per pixel)..
& Either Many AND-OR / Not gate layer or Parallel 16Bit blocks..

You can however painful as it is Multi Load & Zero remainder registers & &or X or Not remainder 00000 on higher depth instructions & so remain pure!

8Bit blocks are a bit small and we use HDR & WCG, So mostly pointless!

We can however 8Bit Write a patch of pallet & sub divide our colour pallet & Light Shadow Curves in anything over 8Bit depth colour,

In the case of Intel 8Bit * 8 Inferencing unit : 16 Bit Colour in probably (WCG 8 * 8) + (HDR 8 * 8) Segments,

In any case Addition is fortunately what we need! so with ADD we can use SiMD & Integer Today.

Rupert S

https://science.n-helix.com/2018/01/integer-floats-with-remainder-theory.html

https://science.n-helix.com/2021/11/parallel-execution.html

https://science.n-helix.com/2022/10/ml.html

https://science.n-helix.com/2021/03/brain-bit-precision-int32-fp32-int16.html

https://science.n-helix.com/2023/06/map.html

*****

Main Operation solves: Bit-Depth Conversions & Operations

The storage of multiple bit operations with Sync Read & Write,
The purpose of this is to Read, Write & Store Operations on:

DOT4
INT8, INT16
F16, F32, F64

In RAM of 32Bit, 64Bit, 128Bit

Values Storage Table

32Bit = [16bit:16Bit]
32Bit = [8bit:8Bit:8bit:8Bit]
32Bit = [4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit]

64Bit = [32bit:32Bit]
64Bit = [16bit:16Bit:16bit:16Bit]
64Bit = [8bit:8Bit:8bit:8Bit:8bit:8Bit:8bit:8Bit]
64Bit = [4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit]

128Bit = [64bit:64Bit]
128Bit = [32bit:32Bit:32bit:32Bit]
128Bit = [16bit:16Bit:16bit:16Bit:16bit:16Bit:16bit:16Bit]
128Bit = [8bit:8Bit:8bit:8Bit:8bit:8Bit:8bit:8Bit:8bit:8Bit:8bit:8Bit:8bit:8Bit:8bit:8Bit]
128Bit = [4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit:4bit:4Bit]

Bear in mind that Integer 64Bit is 2 x 32Bit on AMD; So you can compute 2 operations at 32Bit per 64Bit operation,
Some 64Bit units are only 64Bit; So we need to know how many!

32Bit operations are fine! & Conversion of 16Bit value ranges into 32Bit Operations can still be within range of 16Bit Storage..
If we stick within the 16Bit value range on Multiply & ADD,
We can therefore simply post a 16Bit value range data set & expect to be able to Store 16Bit!

The simple method is to store 2 16Bit values in the same 32Bit table; like [16bit:16Bit] = 32Bit

With this we can Load, Store, Run & Save 8bit INT8 operations in 32Bit devices such as Alexa as 8bit x 4 = 32Bit, So we don't Waste RAM or resources!

But we still have access to 32Bit RAM Paging; But with values loaded in 4Bit, 8Bit, 16Bit, 32Bit & so on.

With NANO Android on F16 & F32 & MIPS the same & AMD, Intel, NVidia,
Learning F16 offers considerable value for performance with 16M Values!

(c)RS

Direct DMA 32Bit & 64Bit RAM : Multiple Sync 16Bit Texture:

A good example of where 8Bit & 16Bit Value load works well is in the case of the texture,
To load 4 x 16Bit into a single 64Bit Cache:

32Bit RAM = 16Bit, 16Bit
64Bit RAM = 16Bit, 16Bit, 16Bit, 16Bit
128Bit RAM = 16Bit, 16Bit, 16Bit, 16Bit

In the case of direct DMA, you would be aware that you have,
128Bit, 192Bit Buss on GPU
32Bit & 64Bit on CPU

So a direct 4 * 32Bit or 2 * 64Bit Cache loads is a logically fast method to DMA directly from Cache to GPU!
In short you convert 8 x 16Bit into a 2x 64Bit DMA push; Which is very fast!

You can do the same with batches of vertices in many storage sizes.

(c)RS

References:
https://science.n-helix.com/2018/01/integer-floats-with-remainder-theory.html
https://science.n-helix.com/2021/02/multi-operation-maths.html
https://science.n-helix.com/2021/11/parallel-execution.html
https://science.n-helix.com/2022/12/math-error-solve.html

On the subject of how deep a personality of 4Bit, 8Bit, 16Bit is reference:
https://science.n-helix.com/2021/03/brain-bit-precision-int32-fp32-int16.html
https://science.n-helix.com/2022/10/ml.html

*****

HDR Pure flow (c)RS
data is converted from the OS to gpu in compressed & optimized memory data into dithered & optimized smooth; precise rendering in every compatible monitor and other device..
the reason we do this is flow control and optimization of the final output of the devices, also the main chunk of data the os used is transparently the best,
In 5D,4D,3D & 2D data and can thusly be pre compressed and cache optimized & rendered.

https://science.n-helix.com/2018/01/integer-floats-with-remainder-theory.html
https://science.n-helix.com/2020/01/float-hlsl-spir-v-compiler-role.html
https://science.n-helix.com/2020/02/fpu-double-precision.html
https://science.n-helix.com/2019/06/vulkan-stack.html

https://science.n-helix.com/2021/02/multi-operation-maths.html
https://science.n-helix.com/2018/01/integer-floats-with-remainder-theory.html

https://esa-space.blogspot.rs

Friday, December 28, 2018

Entropy Ring Sources Examined

*sources*

*science*

****Statistics****

**** Statistics****

FIPS Records 2019-01-07

**** Statistics****

Friday, September 21, 2018

HPC Pack install guide : Science,Server & Web : (c)Rupert S

Example Plans :

Windows server: Step 1

Windows 7/8/10: Step 1

Step 2 for both : Enable Kubernets in docker and set available CPU's & Resources then >

When you enable Kubernet in docker in the console (CMD) : kubectl: Kubernets ingress controller security: If you use cloudflared & or a local certificate : the HPC Certificate you got: https://kubernetes.io/

*Node.js package command suggestions:

linux node.js:

Further reading for swarm node configuration

Saturday, September 8, 2018

Operational achievement & field testing of HPC configuration.

**** Some Alternative HPC Paths that compliment Microsoft HPC Pack

*docker containers of use* & BOINC Host/Client VM Cloud Configuration.

In other notes :

*waf firewall*

*zend php stack is licenced*

*nginx php stack*

*node js*

*squid cache*

***

*alpine is a tiny linux with many apps very flexible 5mb*

Appearing to be SSH Shell client (console)

Saturday, July 7, 2018

Univers/e/al Algebra - Paper

Combining these three allows complexity within subjective conception or to the observer a view of complexity in simplicity.

Saturday, June 23, 2018

Precision Psychology & Psycho-metrics

Tuesday, June 19, 2018

Uses for micro laser & light emitting sources - (c)RS

Saturday, June 9, 2018

Wednesday, May 23, 2018

Black holes : Matrix of density

Are black holes hot or cold :

Reciprocal energy transfer BH-ATOM RS

Wednesday, May 9, 2018

Myalgic encephalomyelitis - chronic fatigue syndrome

Compile open source - Run open source - Live Open Source Research

Friday, March 9, 2018

Monday, February 19, 2018

Wednesday, January 17, 2018

integer floats with remainder theory - copyright RS

Integer_Float Remainder op Form 1:(c)RS

COP-Roll : (c)Rupert S

ROLL Operation Syntax : RS :(Integer & Float)

Integer_Float Remainder op Form 2:(c)RS

Multi-line Packed-Bit Int SiMD Maths : Relevance HDR, WCG, ML Machine Learning (Most advantaged ADDER Maths)

Main Operation solves: Bit-Depth Conversions & Operations

Direct DMA 32Bit & 64Bit RAM : Multiple Sync 16Bit Texture:

Blog Archive

About Me

sources

science

Statistics

Statistics

Statistics

docker containers of use & BOINC Host/Client VM Cloud Configuration.

waf firewall

zend php stack is licenced

nginx php stack

node js

squid cache

alpine is a tiny linux with many apps very flexible 5mb