pdqsort VS American Fuzzy Lop

I found that this exists: https://github.com/orlp/pdqsort

Their sort_unstable algorithm is based on this pattern-defeating quicksort.

Closely related is pattern defeating quicksort ( https://github.com/orlp/pdqsort ), which adapts quicksort to take advantage of sorted runs. I've adapted a few quicksorts to pdqsort and seen good speedups (as people were often sorting partially sorted data)

Basically: Timsort is to mergesort as pdqsort is to quicksort

I was thinking of optimal C++ over native types. I just spoke up because if your intuition of quicksort is that 50k elements should take 20ms you’re drastically underestimating computer performance. They’re crazy fast and optimized sorting algorithms are downright scary.

Just for fun, I added pdqsort to the benchmark:

https://github.com/orlp/pdqsort

Here are some of the results on an Ivy Bridge hackintosh:

      size, qsort, inline, sort, stable_sort, pdqsort, radix7

sort_unstable is a pattern-defeating quicksort (https://github.com/orlp/pdqsort) added with RFC#1884 (https://github.com/rust-lang/rfcs/pull/1884).

There's some efforts to guide test generation for property based testing to make the instruction pointer explore as large a space as possible.

This effort is more mature in the fuzzing community. See eg American Fuzzy Lop https://github.com/google/AFL

What you're describing, just generating random input to test a program, is sometimes called "blind fuzzing" but the state-of-the-art is far beyond that. Maybe try reading through the documentation of e.g. https://github.com/google/AFL to see what a fuzzer does and why just producing random input isn't even scratching the surface.

for general riscv I used to use this https://github.com/google/AFL I dont know if it supports x64 tho.

Ex ( AFL, WinAFL, HonggFuzz, LibFuzzer, Jazzer )

I wrote this little fuzz test target in order to fuzz it with afl (under ASan and UBSan):

afl, which is trivial to apply to this program:

I made my own version of a TCL interpreter (well, a very TCL like langauge) derived from "picol" available at https://github.com/howerj/pickle. There are many different re-implementations and derivatives of this interpreter but they all seem very "crashy", this one has been significantly hardened by using a fuzzer on it which ran for months called American Fuzzy Lop https://lcamtuf.coredump.cx/afl/ . It is also more suitable for embedded use whilst still not having arbitrary restrictions like many other implementations.

On Linux afl is a very powerful bug-finding tool, and it's a great companion when doing code review. Composes well with ASan and UBSan.

b-, https://lcamtuf.coredump.cx/afl/