This paper addresses the problem of estimating lower bounds on the power consumption in scheduled data flow graphs with a fixed number of allocated resources prior to binding. T...
Lars Kruse, Eike Schmidt, Gerd Jochens, Ansgar Sta...
In this paper we present a novel and fast estimation technique that produces tight latency lower bounds for Data Flow Graphs representing time critical segments of the application...
In this paper, we present a formal analysis of the constraints of the scheduling problem, and evaluate the structure of the scheduling polytope described by those constraints. Pol...
We present a high-level synthesis algorithm solving the combined scheduling, allocation and binding problem minimizing area under both latency and maximum power per clock-cycle co...