Data-Centric Design

In this current data-centric era, data generated by social media, video sharing applications, swarms of sensors, autonomous cars, etc. is growing exponentially. Unfortunately, as the technology scaling slows down, the semiconductor industry has been facing a major challenge in providing better performance while processing such large datasets. As a result, we need to innovate how we design our systems to sustain the demand for computing over exponentially growing datasets. However, the fundamental model of computing has not changed over many decades. In our current Von Neumann model, data sits in the slower persistent storage and it is moved back and forth to faster memory for computation by the processor. My research focuses on enabling a paradigm shift in how data is stored and processed in future systems. The goal of ShiftLab (motivated to introduce a paradigm shift [1]) is to fundamentally rethink our current processor-centric computing model and introduce a data-centric computing model.