ByThisKeyboardIRule t1_isba5yx wrote
Too bad that in real world things like proper cache utilization are more important than operations count. Show us the benchmarks or it doesn't matter.
FeezusChrist t1_isdjo3n wrote
If you spent more than a minute digging into the research:
“Algorithms in this rich space have different mathematical and practical properties. Leveraging this diversity, we adapted AlphaTensor to specifically find algorithms that are fast on a given hardware, such as Nvidia V100 GPU, and Google TPU v2. These algorithms multiply large matrices 10-20% faster than the commonly used algorithms on the same hardware, which showcases AlphaTensor’s flexibility in optimising arbitrary objectives.”
https://www.deepmind.com/blog/discovering-novel-algorithms-with-alphatensor
GoGayWhyNot t1_isgzyky wrote
You comment a criticism but you didn't read the entire thing, classic. You must think you are much smarter than the people who decided it was worthy of being the cover of the most respected scientific journal in existence with that 30 second big brain problem finding that nobody else must have thought about
ByThisKeyboardIRule t1_itgt5e4 wrote
Yeah? Still no benchmarks in the article, just generalizations like 10% (which is how much they cut the number of operations). It is good that another guy here referenced the original report, where there are actual benchmarks. The so called Strassen algorithm is actually slower on CPU than the standard algorithm for reasonably sized matrices, no matter that it performs significantly smaller number of operations. Mind blowing, huh? Seems computers are no so simple after all.
So, my question was pretty reasonable. Stop being lazy and learn something instead of insulting people who do.
HarryCHK t1_isbj66h wrote
Nah , it really has two version of the game, One is machine-independent one And one is machine-dependent
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