Heydar Mahmoodi SC-One

## CMakeLists.txt
# References:
# https://cmake.org/cmake/help/latest/command/add_custom_target.html
# https://samthursfield.wordpress.com/2015/11/21/cmake-dependencies-between-targets-and-files-and-custom-commands/
# https://gist.github.com/socantre/7ee63133a0a3a08f3990
# https://stackoverflow.com/questions/24163778/how-to-add-custom-target-that-depends-on-make-install
# https://stackoverflow.com/questions/30719275/add-custom-command-is-not-generating-a-target
# https://stackoverflow.com/questions/26024235/how-to-call-a-cmake-function-from-add-custom-target-command
# https://blog.csdn.net/gubenpeiyuan/article/details/51096777

cmake_minimum_required(VERSION 3.10)

## generate-icns.sh
# Required deps:
# imagemagick: https://imagemagick.org/script/download.php

# name of your master icon, must be at least 512X512
PNG_MASTER="icon-large.png"

ICONSET_FOLDER="AppIcon.iconset"
sizes=(
  16x16
  32x32

## 01-mac-profiling.md

      
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                SC-One
                / 01-mac-profiling.md
            
            
              Created
              September 4, 2023 09:41
                — forked from loderunner/01-mac-profiling.md
            
              
                Profiling an application in Mac OS X
              
          
    Profiling an application in Mac OS X

Finding which process to profile

If your system is running slowly, perhaps a process is using too much CPU time and won't let other processes run smoothly. To find out which processes are taking up a lot of CPU time, you can use Apple's Activity Monitor.
The CPU pane shows how processes are affecting CPU (processor) activity:


## cuda_11.7_installation_on_Ubuntu_22.04
#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

## install_cuda_11_ubuntu_2004.md

      
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                SC-One
                / install_cuda_11_ubuntu_2004.md
            
            
              Created
              April 7, 2023 19:42
                — forked from ksopyla/install_cuda_11_ubuntu_2004.md
            
              
                How to install CUDA toolkit 11 at ubuntu 20.04
              
          
    Step by step instruction how to install CUDA 11 Ubuntu 20.04

NVidia Ubuntu 20.04 repository for CUDA 11

If you need CUDA Tolkit 11 with nvcc, other tools and libraries you can install it from NVIDIA Ubunutu 20.04 repository.
Add Ubuntu 20.04 repository


## AwesomeStruct.cpp
#include "ProcedualSpline.h"
#include "AwesomeStruct.h"

FAwesomeStruct FAwesomeStruct::BuildAwesomeStruct(
    FVector  AwesomeVector,
		bool     AwesomeBoolean,
		float    AwesomeFloat,
		int32    AwesomeInteger,
		FRotator AwesomeRotator
)

## gist:e55b30df1b85f2ff675bf2e44feae959
# - Try to find FFMPEG
# Once done this will define
#  FFMPEG_FOUND - System has FFMPEG
#  FFMPEG_INCLUDE_DIRS - The FFMPEG include directories
#  FFMPEG_LIBRARIES - The libraries needed to use FFMPEG
#  FFMPEG_LIBRARY_DIRS - The directory to find FFMPEG libraries
#
# written by Roy Shilkrot 2013 http://www.morethantechnical.com/
#
	# References:
	# https://cmake.org/cmake/help/latest/command/add_custom_target.html
	# https://samthursfield.wordpress.com/2015/11/21/cmake-dependencies-between-targets-and-files-and-custom-commands/
	# https://gist.github.com/socantre/7ee63133a0a3a08f3990
	# https://stackoverflow.com/questions/24163778/how-to-add-custom-target-that-depends-on-make-install
	# https://stackoverflow.com/questions/30719275/add-custom-command-is-not-generating-a-target
	# https://stackoverflow.com/questions/26024235/how-to-call-a-cmake-function-from-add-custom-target-command
	# https://blog.csdn.net/gubenpeiyuan/article/details/51096777

	cmake_minimum_required(VERSION 3.10)
	# Required deps:
	# imagemagick: https://imagemagick.org/script/download.php

	# name of your master icon, must be at least 512X512
	PNG_MASTER="icon-large.png"

	ICONSET_FOLDER="AppIcon.iconset"
	sizes=(
	16x16
	32x32
	#!/bin/bash

	### steps ####
	# verify the system has a cuda-capable gpu
	# download and install the nvidia cuda toolkit and cudnn
	# setup environmental variables
	# verify the installation
	###

	### to verify your gpu is cuda enable check
	#include "ProcedualSpline.h"
	#include "AwesomeStruct.h"

	FAwesomeStruct FAwesomeStruct::BuildAwesomeStruct(
	FVector AwesomeVector,
	bool AwesomeBoolean,
	float AwesomeFloat,
	int32 AwesomeInteger,
	FRotator AwesomeRotator
	)
	# - Try to find FFMPEG
	# Once done this will define
	# FFMPEG_FOUND - System has FFMPEG
	# FFMPEG_INCLUDE_DIRS - The FFMPEG include directories
	# FFMPEG_LIBRARIES - The libraries needed to use FFMPEG
	# FFMPEG_LIBRARY_DIRS - The directory to find FFMPEG libraries
	#
	# written by Roy Shilkrot 2013 http://www.morethantechnical.com/
	#