Maxim Belousov singulared

## rpi4-retroarch.md

      
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                ematysek
                / rpi4-retroarch.md
            
            
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              December 25, 2022 12:43
            
          
    Setting up RetroArch on Raspberry Pi 4 and building emulator cores

Guide for myself and others to get RetroArch running on the new Raspberry Pi 4 while projects like RetroPie get an image out for the rpi4.

Disclaimer: I am not an expert and this may not be the most optimal build possible, but it works.
Inspiration taken from:

This gist showing the basic steps for building and configuring for raspberry pi 3.
I'm new to Raspberry Pi and RetroArch myself so this was super helpful and I recommend looking through it.

https://gist.github.com/AlexMax/32e5d038a66ce57253e740ea75736805
This Reddit post showing the performanc gains over the pi 3b+


## slog-logging-middleware.rs
use actix_service::{Service, Transform};
use actix_web::{dev::ServiceRequest, dev::ServiceResponse, Error};
use futures::future::{ok, FutureResult};
use futures::{Future, Poll};
use slog::info;

// There are two step in middleware processing.
// 1. Middleware initialization, middleware factory get called with
//    next service in chain as parameter.
// 2. Middleware's call method get called with normal request.

## spectre.c
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#ifdef _MSC_VER
#include <intrin.h> /* for rdtscp and clflush */
#pragma optimize("gt",on)
#else
#include <x86intrin.h> /* for rdtscp and clflush */
#endif

## Cargo.toml
[package]
name = "rust-async-qotd"
version = "0.1.0"
authors = ["Gökberk Yaltıraklı <webdosusb@gmail.com>"]

[dependencies]
tokio = { git = "https://github.com/tokio-rs/tokio" }
rand = "0.3"

## ac100-kernel.md

      
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              June 29, 2023 18:40
            
              
                ARCH LINUX WITH MAINLINE KERNEL FOR TOSHIBA AC100 [paz00 / dynabookaz]
              
          
    ARCH LINUX WITH MAINLINE KERNEL FOR TOSHIBA AC100

all u need


1-2 hours of your life
build envirment for the Kernel
device with Ubuntu and nvflash
AC100
mini-usb cabel
usb-stick >512MB


## steam_bootstrap.sh
#!/bin/bash
#
# Steam installer for Debian wheezy (32- and 64-bit)
#
# Place into empty directory and run.
#

download() {
    local url="$1"
    local filename="$(basename "$url")"

## latency.txt
Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

## flask_geventwebsocket_example.py
from geventwebsocket.handler import WebSocketHandler
from gevent.pywsgi import WSGIServer
from flask import Flask, request, render_template

app = Flask(__name__)

@app.route('/')
def index():
    return render_template('index.html')
	use actix_service::{Service, Transform};
	use actix_web::{dev::ServiceRequest, dev::ServiceResponse, Error};
	use futures::future::{ok, FutureResult};
	use futures::{Future, Poll};
	use slog::info;

	// There are two step in middleware processing.
	// 1. Middleware initialization, middleware factory get called with
	// next service in chain as parameter.
	// 2. Middleware's call method get called with normal request.
	#include <stdio.h>
	#include <stdlib.h>
	#include <stdint.h>
	#ifdef _MSC_VER
	#include <intrin.h> /* for rdtscp and clflush */
	#pragma optimize("gt",on)
	#else
	#include <x86intrin.h> /* for rdtscp and clflush */
	#endif
	[package]
	name = "rust-async-qotd"
	version = "0.1.0"
	authors = ["Gökberk Yaltıraklı <webdosusb@gmail.com>"]

	[dependencies]
	tokio = { git = "https://github.com/tokio-rs/tokio" }
	rand = "0.3"
	#!/bin/bash
	#
	# Steam installer for Debian wheezy (32- and 64-bit)
	#
	# Place into empty directory and run.
	#

	download() {
	local url="$1"
	local filename="$(basename "$url")"
	Latency Comparison Numbers (~2012)
	----------------------------------
	L1 cache reference 0.5 ns
	Branch mispredict 5 ns
	L2 cache reference 7 ns 14x L1 cache
	Mutex lock/unlock 25 ns
	Main memory reference 100 ns 20x L2 cache, 200x L1 cache
	Compress 1K bytes with Zippy 3,000 ns 3 us
	Send 1K bytes over 1 Gbps network 10,000 ns 10 us
	Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD
	from geventwebsocket.handler import WebSocketHandler
	from gevent.pywsgi import WSGIServer
	from flask import Flask, request, render_template

	app = Flask(__name__)

	@app.route('/')
	def index():
	return render_template('index.html')