Articles by: Nod Team

Generating code to outperform native MatMul libraries (Accelerate, BLIS, MKL) and measuring it with MMperf

GEMM operations dominate the computation in modern Machine Learning Models. Silicon vendors typically provide hand optimized GEMM libraries such as Apple’s Accelerate Framework [1], AMD’s BLIS[2] and Intel’s MKL[3]. There are also open source implementations like OpenBLAS[4], BLIS[5], RUY[6]. We will demonstrate the performance of’s compiler generated code outperforming […]

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Nod.AI’s Neural Perception stack

Computer Vision and Neural Perception have been disrupted with Machine Learning. Nod has optimized State of Art Computer Vision models deployed on really low power devices. Check out our post on LinkedIn

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