Chaoyang Gu

EcoMLC: An Energy-Efficient Machine Learning Compilation Framework via Cache Reuse and Frequency Scaling

While modern machine learning compilers (MLCs) are pushing deep neural network (DNN) inference latency to its theoretical limits, the accompanying energy overhead has become a critical bottleneck for large-scale deployment. Excessive energy consumption not only increases electric...