Efficient Stream Computing by Fitting Computations to Cores

Project Details

Description

Our overall goal is to create a method for creating efficient and portable stream computing solutions. The central question that we need to solve in this context is how to make quick and accurate decisions on where to map workload in the computing infrastructure. Optimally, the execution of the workload should be such that the intended target objective is reached e.g. maximal performance or minimal energy consumption. In order to measure the effectiveness of a mapping decisions, a new metric Fitness is defined.
The Fitness metric is aimed to be a universal metric useful 1) at the software design phase, 2) for runtime scheduling, and 3) for the implementation of hardware itself.
AcronymESC
StatusFinished
Effective start/end date01/09/1731/08/21

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy