Approximate Computing is Easy if You Don’t Care about Output Quality
Department: Computer Science
Quarter: Fall 2017
Seminar Date: Nov 02, 2017
Speaker Name:
Scott Mahlke
Scott Mahlke
Organization:
University of Michigan
University of Michigan
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Bio:
Scott Mahlke is a Professor in the Electrical Engineering and Computer Science Department at the University of Michigan where he leads the Compilers Creating Custom Processors group (
Scott Mahlke is a Professor in the Electrical Engineering and Computer Science Department at the University of Michigan where he leads the Compilers Creating Custom Processors group (
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Summary:
The growth of the microprocessor industry fueled by Moore's law has led to great progress in data-intensive applications, such as deep learning, natural language processing, and computer vision. Ho…
The growth of the microprocessor industry fueled by Moore's law has led to great progress in data-intensive applications, such as deep learning, natural language processing, and computer vision. Ho…
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Host:
Alex Nicolau
Alex Nicolau
Host Notes:
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