> To emulate DL workloads without actual GPUs, we replace GPU-
related steps (steps #3–5, and Step 2 if GPU-based) with simple
sleep(T) calls, where T represents the projected time for each step.
This is a model (of GPU arch/system/runtime/etc) being used to feed downstream analysis. Pretty silly because if you're going to model these things (which are extremely difficult to model!) you should at least have real GPUs around to calibrate/recalibrate the model.
Sadly, no licensing in the repo and I have no idea what the licensing weight the associated fields in setup.py carry <https://github.com/mengwanguc/gpemu/blob/27e9534ee0c3d594030...>
MIT is a well known foss license.
What is the difference between a gpu emulator and maybe specifically GPEmu and say llvmpipe?
> To emulate DL workloads without actual GPUs, we replace GPU- related steps (steps #3–5, and Step 2 if GPU-based) with simple sleep(T) calls, where T represents the projected time for each step.
This is a model (of GPU arch/system/runtime/etc) being used to feed downstream analysis. Pretty silly because if you're going to model these things (which are extremely difficult to model!) you should at least have real GPUs around to calibrate/recalibrate the model.