AI & Tech
Architectural Fit
When a general-purpose computing architecture encounters domain-specific complex computations, forced optimization often yields inferior results to redesigning a specialized architecture isomorphic to the problem. Optimal solutions for problems like neural networks, graph algorithms, and fluid simulations typically arise from aligning hardware structure with algorithm structure one-to-one, rather than adapting algorithms to general-purpose processors.
Read the daily articles behind this idea on the Chinese edition.