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0 pointstosh2d ago0 comments

A100: 312 TFLOP/s for FP16

but it is very impressive how far modern CPUs get as well (also in smart phones!)

0 comments

p1esk2d ago

Intel Xeon 6980P: 128 cores x 1024 FP16 FLOP/cycle/core x 3.2 GHz: 419 TFLOP/s

toshOP2d ago

I'm not saying "GPU more brrt than CPU"

I found the comparison interesting

on Intel Xeon 690P with 419 TFLOP/s it is still (maybe even more?) interesting to ask:

how much throughput can you reach with Python, Python with lib x, y, z, with C++ like this, with C++ like that etc etc and why?

no?

p1esk2d ago

No one in their right mind would use pure Python to do matrix multiplication. It’s like using a screwdriver to hammer nails into wood.

But this discussion is even more bizarre than comparing a screwdriver to a hammer, it’s like comparing a screwdriver to a nail.

j / k navigate · click thread line to collapse

p1esk2d ago

Intel Xeon 6980P: 128 cores x 1024 FP16 FLOP/cycle/core x 3.2 GHz: 419 TFLOP/s

toshOP2d ago

I'm not saying "GPU more brrt than CPU"

I found the comparison interesting

on Intel Xeon 690P with 419 TFLOP/s it is still (maybe even more?) interesting to ask:

how much throughput can you reach with Python, Python with lib x, y, z, with C++ like this, with C++ like that etc etc and why?

no?

p1esk2d ago

No one in their right mind would use pure Python to do matrix multiplication. It’s like using a screwdriver to hammer nails into wood.

But this discussion is even more bizarre than comparing a screwdriver to a hammer, it’s like comparing a screwdriver to a nail.

j / k navigate · click thread line to collapse