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Found 2 papers, 1 papers with code
Efficient Memory Management for Deep Neural Net Inference
While deep neural net inference was considered a task for servers only, latest advances in technology allow the task of inference to be moved to mobile and embedded devices, desired for various reasons ranging from latency to privacy.
On-Device Neural Net Inference with Mobile GPUs
On-device inference of machine learning models for mobile phones is desirable due to its lower latency and increased privacy.
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