Towards automated kernel selection in machine learning systems: A SYCL case study

15 Mar 2020 John Lawson

Automated tuning of compute kernels is a popular area of research, mainly focused on finding optimal kernel parameters for a problem with fixed input sizes. This approach is good for deploying machine learning models, where the network topology is constant, but machine learning research often involves changing network topologies and hyperparameters... (read more)

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