This paper gives an overview of methods used for design space exploration (DSE) of micro-
architectures and systems. The DSE problem generally considers two orthogonal issues:(I) …

Convolutional Neural Networks (CNN) have given rise to numerous visual analytics
applications at the edge of the Internet. The image is typically captured by cameras and then …

A reduction in the time-to-market has led to widespread use of pre-designed parametric
architectural solutions known as system-on-a-chip (SoC) platforms. A system designer has …

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 …

An increasing number of system designers are using ASIP's rather than ASIC's to implement
their system solutions. Building ASIPs: The Mescal Methodology gives a simple but …

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

Convolutional Neural Networks (CNN) have given rise to numerous visual analytics
applications at the edge of the Internet. The image is typically captured by cameras and then …

Multi-objective evolutionary algorithms (MOEAs) have received increasing interest in
industry because they have proved to be powerful optimizers. Despite the great success …

The use of Application Specific Instruction-set Processors (ASIP) is a solution to the problem
of increasing complexity in embedded systems design. One of the major challenges in ASIP …

This paper deals with a significant problem affecting embedded system design methods
based on parameterized systems on a chip (SOCs). It proposes a strategy for exploration of …