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cs.LG2023
Accelerating Machine Learning Primitives on Commodity Hardware
Roman Snytsar
Sliding Window Sum algorithms have been successfully used for training and inference of Deep Neural Networks. We have shown before how both pooling and convolution 1-D primitives c…
cs.LG2023
Sliding Window Sum Algorithms for Deep Neural Networks
Roman Snytsar
Sliding window sums are widely used for string indexing, hashing and time series analysis. We have developed a family of the generic vectorized sliding sum algorithms that provide…