Network-on-Chip (NoC)-based multiprocessor system-on-chips (MPSoCs) are becoming the
de-facto computing platform for computationally intensive real-time applications in the …

Scheduling complex applications as task graphs on finite computational resources assuring
task interdependencies is a well-known NP-complete optimization problem. This problem is …

Next-generation systems, such as edge devices, will have to provide efficient processing of
machine learning (ML) algorithms, along with several metrics, including energy …

Any complex application can be realized as a graph of dependent tasks, and scheduling
these tasks onto a limited number of computational resources while satisfying their …

Due to the trend of many-core systems for dynamic multimedia applications, the problem
size of map** optimization gets bigger than ever making conventional meta-heuristics no …

The problem of determining a set of real-time tasks that can be assigned to the
multiprocessors and finding a feasible solution of scheduling these tasks among the …

The use of the i*(iStar) framework by the requirements engineering community is many-fold.
Among the several possible engineering cases, we are particularly interested here in the …

The map** process of high performance embedded applications to today's multiprocessor
system-on-chip devices suffers from a complex toolchain and programming process. The …

Reconfigurable platforms are a promising technology that offers an interesting trade-off
between flexibility and performance, which many recent embedded system applications …

Hardware/software partitioning is playing an important role in designing complex embedded
systems. In this paper, by considering the parallelism between hardware and software, we …