I've been saying this for nearly 20 years. My first experience with it was Altivec on PowerPC: https://en.wikipedia.org/wiki/AltiVec https://en.wikipedia.org/w

I've been saying this for nearly 20 years. My first experience with it was Altivec on PowerPC: https://en.wikipedia.org/wiki/AltiVec https://en.wikipedia.org/wiki/AltiVec I have a computer engineering degree from UIUC and my very first thought upon seeing MMX/SSE/Altivec/etc was "why didn't they make this arbitrarily scalable?" I was excited to be able to perform multiple computations at once, but the implementation seemed really bizarre to me (hardcoding various arithmetic operations in 128 bits or whatnot). If it had been up to me, I would have probably added an instruction that executed a certain number of other instructions as a single block and let the runtime or CPU/cluster divvy them up to its cores/registers in microcode internally. It turns out that something like this is conceptually what happens in vector languages like MATLAB (and Octave, Scilab, etc), which I first used around 2005. It's implementation is not terribly optimized, but in practice it doesn't need to be, because all personal computers since the mid 1990s are limited by memory bandwidth, not processing power. For what it's worth, we're seeing similar ideas in things like graphics shaders, where the user writes a loop that appears to be serial and synchronous, but is parallelized by the runtime. I'm saddened that they had to evolve via graphics cards with their unfortunate memory segmentation (inspired by DOS?) but IMHO the future of programming will look like general-purpose shaders that abstract away caching so that eventually CPU memory, GPU memory, mass storage, networks, even the whole internet looks like a software-transactional memory or content-addressable memory. We'll also ditch frictional abstractions like asynchronous promises in favor of something like the Actor model from Erlang/Go or a data graph that is lazily evaluated as each dependency is satisfied so it can be treated as a single synchronous serial computation. I've never found a satisfactory name for that last abstraction, so if someone knows what it's called, please let us know thanks! P.S. the point of all this is to provide an efficient transform between functional programming and imperative programming so we can begin dealing in abstractions and stop prematurely optimizing our programs (which limits them to running on specific operating systems or hardware configurations).