Energy efficiency and thermal management have become ma- jor concerns in both embedded and HPC systems. The progress of silicon technology and the subsequent growth of the dark silicon phenomena are negatively a ecting the reliability of computing systems. As a result, in the next future we expect run-time variability to increase in terms of both performance and computing resources availability. To address these is- sues, systems and applications must be able to adapt to such scenarios. This work provides a brief overview of the Barbeque Run-Time Resource Manager (BarbequeRTRM) and the application execution model that it exploits, in order to deal with run-time performance and available re- sources variability.

Resource-Aware Application Execution Exploiting the BarbequeRTRM

MASSARI, GIUSEPPE;LIBUTTI, SIMONE;FORNACIARI, WILLIAM;REGHENZANI, FEDERICO;
2016-01-01

Abstract

Energy efficiency and thermal management have become ma- jor concerns in both embedded and HPC systems. The progress of silicon technology and the subsequent growth of the dark silicon phenomena are negatively a ecting the reliability of computing systems. As a result, in the next future we expect run-time variability to increase in terms of both performance and computing resources availability. To address these is- sues, systems and applications must be able to adapt to such scenarios. This work provides a brief overview of the Barbeque Run-Time Resource Manager (BarbequeRTRM) and the application execution model that it exploits, in order to deal with run-time performance and available re- sources variability.
2016
Proceedings of the 1st International Workshop on RESource Awareness and Application Auto-tuning in Adaptive and heterogeNeous compuTing
runtime resource management, HPC
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/996069
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