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cs.AR2024
Efficient Sparse Processing-in-Memory Architecture (ESPIM) for Machine Learning Inference
Mingxuan He, Mithuna Thottethodi, T. N. Vijaykumar
Emerging machine learning (ML) models (e.g., transformers) involve memory pin bandwidth-bound matrix-vector (MV) computation in inference. By avoiding pin crossings, processing in…
cs.AR2020
Booster: An Accelerator for Gradient Boosting Decision Trees
Mingxuan He, T. N. Vijaykumar, Mithuna Thottethodi
We propose Booster, a novel accelerator for gradient boosting trees based on the unique characteristics of gradient boosting models. We observe that the dominant steps of gradient…