The focus of this workshop is to expand upon this recent work and build a community focused on using machine learning in computer systems problems. Very recent work has outlined a broad scope where deep learning vastly outperforms traditional heuristics including topics such as: scheduling 1,2, data structure design 3, microarchitecture 4, compilers 5, and control of warehouse scale computing systems 6.
Jeff dean google keynote software#
However, using machine learning to optimize and accelerate software and hardware systems is a lightly explored but promising field, with broad implications for computing as a whole. Designing specialized hardware for deep learning is a topic that has received significant research attention, both in industrial and academic settings, leading to exponential increases in compute capability in GPUs and accelerators.
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