9 citations · 29 across the 11 of their papers we have counts for
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cs.DC2026
Partition-Aware Scheduling for Mobile Heterogeneous Inference Co-Execution
Zhuojin Li, Marco Paolieri, Leana Golubchik
Modern mobile inference runs on heterogeneous platforms combining mobile GPUs with multiple CPU core clusters. Existing optimizations typically exploit either inter-operator parall…
cs.DC2019★ 5 cited
Throughput Prediction of Asynchronous SGD in TensorFlow
Zhuojin Li, Wumo Yan, Marco Paolieri +1
Modern machine learning frameworks can train neural networks using multiple nodes in parallel, each computing parameter updates with stochastic gradient descent (SGD) and sharing t…