At the data-intensive systems and computing (DiSC) lab we work on building the data systems of the future that will be able to address (i) exponential data growth, (ii) heterogeneous hardware and computing environments, and (iii) diverse and complex workloads that come with uncertainty with respect to access patterns and resource availability. We explore new data systems architectures, software hardware co-design, and algorithmic tools to reason about tuning in the presence of uncertainty.

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