main.cpp code: #include <iostream> int main() { std::cout << "Hello World!n"; } Dissasembly in Ghidra: ************************************************************* * FUNCTION ************************************************************* int __cdecl main (int _Argc , char * * _Argv , char * * _E assume GS_OFFSET = 0xff00000000 int EAX:4…
I'm coding in nasm, and I don't get what is going on. The Linux distro is an Ubuntu 16 64bits, but the NASM is operating in 32bits. Expected output --> "Number is: 2" Actual output --> "number is: 134520868" Code:…
I am learning x86 assembly using Nasm on Linux(Debian 12). I already know what is stack, so I thought when we code in assembly, we implement it ourselves. But I saw instructions like push and pop which are meant for…
Description I created a sample to study the TLB access/misses statistics. Sample writes 1 to every 4096-th element of the array. Array has 10'000 * 4096 bytes. I expect to see 10'000 TLB stores only, but generated assembly loads beginning…
I have the following C snippets that both obviously causes stack overflow error: a.c int f(int i) { f(i); } int main() { f(1); } b.c int f(int i) { f(i+1); } int main() { f(1); } After running both…
uint8_t data[] = "mykeyxyz:1234nky:123n...";. My lines of string has format key:value, where each line has len(key) <= 16 guaranteed. I want to load mykeyxyz into a __m128i, but fill out the higher position with 0. The easiest way is to…
My system : Ubuntu 22.04.3 running on x86_64. GCC version 11.4.0 I'm asking this because it seems like there are two different representations of the return address as far as the frame it is within ( caller or callee )…
I have this simple C program in a file named test.c : void fx2(){ int c = 30; c++; } void fx1(){ int b = 20; b++; fx2(); } int main(){ int a = 10; a++; fx1(); } I've compiled…
I create a small os (not finished) only with assembly 16 bit that works with qemu-system-i386. But now i want to test it on a real machine and in case of errors make it compatible with a real PC. This…
There is a recent publication at nature.com, Faster sorting algorithms discovered using deep reinforcement learning, where it talks about AlphaDev discovering a faster sorting algorithm. This caught my interest, and I've been trying to understand the discovery. Other articles about…