As embedded systems grow more complex and as new applications such as IoT require
many design constraints, sophisticated design space exploration techniques are essential in …

Industrial Cyber-Physical Systems (CPS) are com-plex heterogeneous and distributed
computing systems, typically integrating and interconnecting a large number of subsystems …

Domain-specific SoCs (DSSoCs) are an attractive solution for domains with extremely
stringent power, performance, and area constraints. However, DSSoCs suffer from two …

We address the problem of evolutionary system design (ESD) by means of answer set
programming modulo difference constraints (AMT). The goal of this design approach is to …

Large scale many-core systems are able to execute concurrently changing mixes of different
parallel applications. Hybrid application mapping combines the strengths of design-time …

Design is a complex problem-solving activity that transforms design restrictions and
requirements into a set of constraints and explores the feasible solutions to satisfy those …

An efficient Design Space Exploration (DSE) is imperative for the design of modern, highly
complex embedded systems in order to steer the development towards optimal design …

With the surge of multi-and many-core systems, much research has focused on algorithms
for mapping and scheduling on these complex platforms. Large classes of these algorithms …

When designing a system at the Electronic System Level (ESL), designers are confronted
with a very large number of design decisions, each affecting the characteristics of the …

This paper presents an automatic design space exploration using processor design
knowledge for the multi-objective optimisation of a superscalar microarchitecture enhanced …