Daniele De Sensi is a Postdoctoral Researcher with the Computer Science Department, University of Pisa, Italy. His doctoral work is focused on autonomic and power-aware runtime
solutions for parallel applications. He has designed algorithms to enforce power consumption and performance requirements on parallel applications through dynamic reconfigurations, by exploiting online learning techniques. He is also interested in HPC and parallel programming models, and he is recently working on optimization of routing algorithms for HPC interconnection networks.
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