This paper presents OSCAR, an optimization methodology exploiting spatial correlation of
multicore design spaces. This paper builds upon the observation that power consumption …

Exploring the design space of computer architectures generally consists of a trial-and-error
procedure where several architectural configurations are evaluated by using simulation …

Application-specific multiprocessor systems-on-chip (MPSoCs) are usually designed by
using a platform-based approach, where a wide range of customizable parameters can be …

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 …

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 …

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 …

In this work, we provide a technique for efficiently exploring a parameterized system-on-a-
chip (SoC) architecture to find all Pareto-optimal configurations in a multi-objective design …

This chapter presents guidelines to choose an appropriate exploration algorithm, based on
the properties of the design space under consideration. The chapter describes and …

In this paper, we address the problem of the efficient exploration of the architectural design
space for parameterized systems. Since the design space is multi-objective, our aim is to …

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