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Diana Marculescu
Professor of Electrical and Computer Engineering at UT Austin. Her research focuses on hardware-aware machine learning and co-design of hardware and ML models.
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Jul 13, 2020
• 46min
The Case for Hardware-ML Model Co-design with Diana Marculescu - #391
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Diana Marculescu, a Professor of Electrical and Computer Engineering at UT Austin, dives into the intriguing world of hardware-aware machine learning. She discusses the necessity of co-designing hardware and ML models for maximizing efficiency. Key topics include optimizing neural networks for edge devices, profiling for power and latency in GPUs, and innovative approaches to architecture search. Diana also emphasizes the critical need for adaptable designs and the future potential of deep learning driven by hardware advancements.
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