hckrnws

I hope this can help shed the misconception that GPUs are only good at linear algebra and FP arithmetic, which I've been hearing a whole lot!

Edit: learned a bunch, but the "uniform" registers and 64-bit (memory) performance are some easy standouts.

It’s well known GPUs are good at cryptography. Starting with hash functions (e.g. crypto mining) but also zero knowledge proofs and multi party computation.

Wasn't it well known that CUDA cores are programmable cores?

Haha, if you're the type to toss out the phrase "well known", then yes!

> NVIDIA RTX A6000

Unfortunately that's already behind the latest GPU by two generations. You'd have these after A6000: 6000 Ada, Pro 6000.

Still better than most folks have access to.

I bet I can do more CUDA with my lame GeForce MX 150 from 2017, than what most people can reach for to do ROCm, and that is how NVidia keeps being ahead.

It's a major step forward compared to 2006.

A6000 was released in 2020: https://www.techpowerup.com/gpu-specs/rtx-a6000.c3686

Nvidia's Quadro naming scheme really is bad these days, isn't it?

I bet there are plenty of papers out there claiming to have used a RTX 6000 instead of a RTX 6000 Ada gen.

Haha honestly I always thought GPUs were mostly number crunchers, but there's way more under the hood than I realized. Wondering now if anyone really gets the full potential of these cores, or if we're all just scratching the surface most days?

The special sauce:

> "GPUs leverage hardware-compiler techniques where the compiler guides hardware during execution."

[dead]