4 ms·
Well, yeah, broski. GPUs are just highly optimized matrix multipliers, so they're for any computation involving matrix multiplication...such computations arise
by lake_vincent 4y ago
Well, yeah, broski. GPUs are just highly optimized matrix multipliers, so they're for any computation involving matrix multiplication...such computations arise in computer graphics, crypto mining, and machine learning (aka AI shit). And yes, memory size is important for some applications. Is that okay?
- rrss 4y agothis simplification to “everything needs matrix multiply and GPUs are matrix multipliers” doesn’t really match the actual architecture. the hardware for low-precision matrix multiplications in ML is mostly independent of the hardware that’s typically utilized for vertex and fragment shaders in computer graphics. It really only gets used for graphics if using DLSS. It’s not used at all for (integer) computations in cryptomining. Are they for high-precision scientific simulations because it’s possible to multiply matrices on them? These cards are probably quite shit at double-precision matrix multiplications.
- thomastjeffery 4y agoAnd these ones aren't optimized for machine learning, and that's OK, too.
- rejectfinite 4y ago>And yes, memory size is important for some applications. Is that okay? Yes and they make Quadros for those :)