Modern multiprocessor embedded systems execute a large number of tasks on shared processors and handle their complex communications on shared communication networks. Traditional m...
Lothar Thiele, Iuliana Bacivarov, Wolfgang Haid, K...
Increasing of computation needs and improving of processor integration make the mapping of embedded real-time applications more and more expensive. PROMPT [1] provides a new appro...
Michel Barreteau, Juliette Mattioli, Thierry Grand...
In this paper, we define the problem of spatial mapping. We present reasons why performing spatial mappings at run-time is both necessary and desirable. We propose what is—to ou...
In this paper, we present a compiler strategy to optimize data accesses in regular array-intensive applications running on embedded multiprocessor environments. Specifically, we p...
Mahmut T. Kandemir, J. Ramanujam, Alok N. Choudhar...
The computational demand of signal processing algorithms is rising continuously. Heterogeneous embedded multiprocessor systems-on-chips are one solution to tackle this demand. But ...