The technology scaling towards the 10nm of the silicon manufacturing, is going to introduce variability challenges, mainly due to the growing susceptibility to thermal hot-spots and time-dependent variations (aging) in the silicon chip. The consequences are two-fold: a) unpredictable performance, b) unreliable computing resources. The goal of the HARPA project is to enable next-generation embedded and high-performance heterogeneous many-core processors to effectively address this issues, through a cross-layer approach, involving several component of the system stack. Each component acts at different levels and time granularity. This paper focus on one of the components of the HARPA stack, the HARPA-OS, showing early results of a first integration step of the HARPA approach in a real High-Performance Computing (HPC) application scenario.

Harnessing Performance Variability: A HPC-Oriented Application Scenario

MASSARI, GIUSEPPE;LIBUTTI, SIMONE;FORNACIARI, WILLIAM
2015-01-01

Abstract

The technology scaling towards the 10nm of the silicon manufacturing, is going to introduce variability challenges, mainly due to the growing susceptibility to thermal hot-spots and time-dependent variations (aging) in the silicon chip. The consequences are two-fold: a) unpredictable performance, b) unreliable computing resources. The goal of the HARPA project is to enable next-generation embedded and high-performance heterogeneous many-core processors to effectively address this issues, through a cross-layer approach, involving several component of the system stack. Each component acts at different levels and time granularity. This paper focus on one of the components of the HARPA stack, the HARPA-OS, showing early results of a first integration step of the HARPA approach in a real High-Performance Computing (HPC) application scenario.
2015
Digital System Design (DSD), 2015 Euromicro Conference
978-1-4673-8035-5
978-1-4673-8035-5
Floods, Hardware, Monitoring, Power demand, Program processors, Silicon, Dependability, HPC, Multi-core processors, Reliability, Resource Allocation, Run-time Resource Management
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/968075
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