In IDAPython,
execfile('<path>/cxxparser.py')
parse_file('<path>/a.cpp',[r'-I<path>\LuaJIT-2.0.5\src', '-D__NT__', '-D__X64__', '-D__EA64__'])
parse_file('<path>/malloc.c',['-target=x86_64-linux-gnu'])
/* | |
the twitter api is stupid. it is stupid and bad and expensive. hence, this. | |
Literally just paste this in the JS console on the bookmarks tab and the script will automatically scroll to the bottom of your bookmarks and keep a track of them as it goes. | |
When finished, it downloads a JSON file containing the raw text content of every bookmark. | |
for now it stores just the text inside the tweet itself, but if you're reading this why don't you go ahead and try to also store other information (author, tweetLink, pictures, everything). come on. do it. please? | |
*/ |
This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).
Matrix multiplication is a mathematical operation that defines the product of
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