Accelerating Green Computing with Hybrid Asymmetric Multicore Architectures and Safe Parallelism

TL;DR

This paper introduces a novel approach using Hybrid Asymmetric Multicore Architectures and safe parallelism to accelerate green computing and reduce energy consumption in large-scale data centers.

Contribution

It proposes a new strategy combining HAMA and safe parallelism to minimize energy use, addressing the energy footprint of modern serial computing.

Findings

Energy consumption per computation is reduced using HAMA.

Safe parallelism enables efficient utilization of multicore architectures.

The strategy is effective in large-scale server environments.

Abstract

In this paper we present a novel strategy for accelerating green computing by utilizing and adopting the Hybrid Asymmetric Multicore Architectures (HAMA) model with Safe Parallelism. Most of the modern computing is serial and contributes to the global footprint of energy consumption. These impacts are often witnessed and experienced in many server farms and cloud computing platforms where the majority of the world's information resides. Evidently in this paper we present a novel strategy that can help decelerate the global footprint of energy consumption caused by computing. Through our strategy we prove that by adopting HAMA and utilizing safe parallelism energy consumption per computation can be minimized.