Advances in Machine Learning for Systems
Abstract:
In this talk, I’ll discuss some exciting trends in how machine learning can be used to tackle traditional computer systems problems. In particular, I’ll give an overview of application of learning to several areas, including compiler optimization, memory allocation, learning for many different areas of ASIC chip design, as well as ways to make it easier to incorporate learned decisions into the middle of traditional software systems. This talk represents the work of many people at Google.
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Source: NeurIPS