D2.1 Models for energy consumption of data structures and algorithms

TL;DR

This paper presents early energy consumption models for data structures and algorithms based on micro-benchmarks and concurrent algorithms, focusing on energy-performance trade-offs on Intel and Movidius platforms.

Contribution

It introduces initial models for energy use in data structures and algorithms, emphasizing the trade-off analysis on two key hardware platforms.

Findings

Energy-performance trade-off insights for concurrent algorithms

Preliminary models for energy consumption on Intel and Movidius platforms

Foundation for further energy-efficient algorithm design

Abstract

This deliverable reports our early energy models for data structures and algorithms based on both micro-benchmarks and concurrent algorithms. It reports the early results of Task 2.1 on investigating and modeling the trade-off between energy and performance in concurrent data structures and algorithms, which forms the basis for the whole work package 2 (WP2). The work has been conducted on the two main EXCESS platforms: (1) Intel platform with recent Intel multi-core CPUs and (2) Movidius embedded platform.