# Collaborative Heterogeneous Computing on MPSoCs

## TL;DR

This thesis explores software strategies for efficiently utilizing heterogeneous MPSoCs by mapping kernels and coordinating multiple processing elements to enhance performance and energy efficiency in mobile computing.

## Contribution

It introduces novel methods for kernel mapping and collaborative execution tailored to heterogeneous MPSoCs for improved mobile computing performance.

## Key findings

- Enhanced energy efficiency in mobile MPSoC applications
- Improved kernel mapping techniques for heterogeneity
- Effective collaboration among processing elements

## Abstract

This thesis (extended abstract) presents the software development efforts toward efficient exploitation of heterogeneity through intricate mapping of computational kernels, collaborative execution of multiple processing elements and application-specific techniques. The goal is to embrace the heterogeneity to unleash the full potential of the heterogeneous MPSoCs towards high-performance energy-efficient mobile computing.