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20192025
most citedTAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms

1 citations · 1 across the 3 of their papers we have counts for

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cs.LG2019

PruneTrain: Fast Neural Network Training by Dynamic Sparse Model Reconfiguration

Sangkug Lym, Esha Choukse, Siavash Zangeneh +3

State-of-the-art convolutional neural networks (CNNs) used in vision applications have large models with numerous weights. Training these models is very compute- and memory-resourc…