In the Sesame framework, we develop a modeling and simulation environment for the
efficient design space exploration of heterogeneous embedded systems. Since Sesame …

The sheer complexity of today's embedded systems forces designers to start with modeling
and simulating system components and their interactions in the very early design stages. It is …

Sesame is a software framework that aims at developing a modeling and simulation
environment for the efficient design space exploration of heterogeneous embedded …

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 …

Given the increasing complexity of multi-processor systems-on-chip, a wide range of
parameters must be tuned to find the best trade-offs in terms of the selected system figures of …

Application requirements for embedded systems are growing rapidly, as is the complexity of
systems designed to execute them. A common abstraction used to tame this growing …

This paper considers the problem of designing heterogeneous multiprocessor embedded
systems. The focus is on a step of the design flow: the definition of innovative metrics for the …

The ever increasing complexity and integration densities of multiprocessor systemon-chip
(MPSoC) architectures, significantly enlarges the design space of embedded computing …

Given the increasing complexity of Chip Multi-Processors (CMPs), a wide range of
architecture parameters must be explored at design time to find the best trade-off in terms of …

Fully integrated system level design space exploration methodologies are essential to
guarantee efficiency of future large scale system on programmable chip. Each design step in …