AutoTuning and Adaptivity appRoach for Energy Efficient eXascale HPC Systems: The ANTAREX Approach

Abstract

Abstract-The main goal of the ANTAREX 1 project is to express by a Domain Specific Language (DSL) the application self-adaptivity and to runtime manage and autotune applications for green and heterogeneous High Performance Computing (HPC) systems up to the Exascale level. Key innovations of the project include the introduction of a separation of concerns between self-adaptivity strategies and application functionalities. The DSL approach will allow the definition of energy-efficiency, performance, and adaptivity strategies as well as their enforcement at runtime through application autotuning and resource and power management.

Autotuning of Exascale Applications With Anomalies Detection

“…To meet the strict constraints, the emerging exascale computing systems, encompassing high-performance computing systems and large-scale distributed cloud data centers, are utilized (De Maio and Kimovski, 2020). However, the complexity of the exascale systems makes designing and deploying distributed applications a very complex task, which requires a deep understanding of the exascale system and proper characterization of the applications in terms of runtime parameters (Silvano et al, 2016).…”