Data Processing Unification
Ritchie discusses the evolution of data processing in the face of stagnant single-thread performance, emphasizing the importance of SIMD for efficiency. With the rise of multi-core processors, he highlights the necessity of writing multi-threaded code to fully leverage these advancements. Polar's innovative approach aims to unify data processing across both small and large datasets, paving the way for scalable solutions in the cloud.In this clip
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