Understanding Energy Performance of Containers Deployment on HPC-Based post-Moore Platforms.

HPC platforms seek to ensure peak computing performance with minimal energy cost searching sustainability. Considering different cases of use and implementation, both post-Moore hardware elements and software deployment (as virtualization or containerization) are incorporated. However, as the number of devices proliferates, managing applications has become intricate, prompting the adoption of containerization methods for simplification. Then, understanding the performance of the deployment strategy to propose an adequate implementation and integration of HPC-based post-Moore architectures is important to guarantee efficiency. This study evaluates the containerization strategies on a cost-effective post-Moore device suitable for an HPC platform. Factors like ease of use, reproducibility, and compatibility examine the deployment methods. The evaluation process employs metrics establishment and stress tests to appraise application-specific aspects. The obtained insights are categorized to address deployment mechanisms, performance implications, execution duration, and energy consumption impacts.