The document discusses software and system co-optimization in heterogeneous computing, presented by Dr. Michael Gschwind at ASP-DAC 2016. It highlights advancements in technology, notably the Power8 architecture, which emphasizes increased performance and efficiency for big data applications through specialized cores and memory management. The presentation also addresses the challenges of heterogeneous system design and the potential of machine learning for personalized medicine and adverse drug reaction prediction.
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