Professor at the University of Campinas (UNICAMP). Holds a bachelor's and a master's degree in Computer Science from the Federal University of Santa Catarina (2004, 2006), and a PhD in Computer Science from the University of California, Los Angeles (2014). His areas of expertise include embedded systems, hardware variability, the Internet of Things, computer architecture, and energy-efficient computing. (Source: Lattes Curriculum)
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The failure of Dennard Scaling and difficulties in developing multicore architectures have negatively affected the energy efficiency of modern computing systems.Since many applications do not require perfect accuracy, the use of Approximate Computing techniques may trade the final expected quality of operations for energy cost reduction.These hardware level techniques usually optimize ene…
Approximate computing is a set of techniques that explore the generation of potentially incorrect or inaccurate results, when obtaining the most accurate result is not necessary or efficient for the given application. Approximate computing techniques have emerged in hardware, algorithms and applications development. Recent research shows that getting an approximate, but sufficient for the…
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