Since the mid-1990s, researchers have been trying to use machine-learning-based
approaches to solve a number of different compiler optimization problems. These …

The fourth industrial revolution (Industry 4.0) and its requirements impose radical changes to
the underlying networking technologies that will be adopted in future factories. Most popular …

This paper proposes a multi-objective evolutionary algorithm (MOEA)-based task scheduling
approach for determining Pareto optimal solutions with simultaneous optimization of …

The variety of today's architectures forces programmers to spend a great deal of time porting
and tuning application codes across different platforms. Compilers themselves need …

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 …

Modern multiprocessor systems-on-chip (MpSoCs) offer tremendous power and
performance optimization opportunities by tuning thousands of potential voltage, frequency …

Modern embedded systems need to support multiple time-constrained multimedia
applications that often employ multiprocessor-systems-on-chip (MPSoCs). Such systems …

This paper presents an efficient technique to perform design space exploration of a
multiprocessor platform that minimizes the number of simulations needed to identify a Pareto …

The complexity of today's embedded systems and their development trajectories requires a
systematic, model-driven design approach, supported by tooling wherever possible. Only …

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