This work describes a novel control protocol for multi-agent systems to solve the dynamic max-consensus problem. In this problem, each agent has access an external time-varying scalar signal and objective estimate track maximum among all these signals by exploiting only local communications. The main strength of proposed is that it able self-tune its internal parameters in order achieve arbitra...

In response to the enormous and growing complexity of today’s high-end systems, the Performance Engineering Research Institute (PERI) is working toward automating portions of the performance tuning process by developing an autotuning framework. Our framework employs empirical techniques to identify the best-performing version of a computation among a search space of possible implementations. Th...