Vectorized Emulation: Hardware accelerated taint tracking at 2 trillion instructions per second (via) is about, well, let me quote from the introduction rather than try to further summarize it:

In this blog I’m going to introduce you to a concept I’ve been working on for almost 2 years now. Vectorized emulation. The goal is to take standard applications and JIT them to their AVX-512 equivalent such that we can fuzz 16 VMs at a time per thread. The net result of this work allows for high performance fuzzing (approx 40 billion to 120 billion instructions per second [the 2 trillion clickbait number is theoretical maximum]) depending on the target, while gathering differential coverage on code, register, and memory state.

Naturally you need to do all sorts of interesting tricks to make this work. The entry is an overview, and the author is going to write more entries later on the details of various aspects of it, which I'm certainly looking forward to even if I'm not necessarily going to fully follow the details.

I found this interesting both by itself and for giving me some more insight into modern SIMD instructions and what goes into using them. SIMD and GPU computing feel like something that I should understand some day.

(I find SIMD kind of mind bending and I've never really dug into how modern x86 machines do this sort of stuff and what you use it for.)