To better exploit the capabilities offered by multi-core high-end embedded systems, new parallel programming paradigms, such as OpenCL, combined with effective resource management should be adopted. However, dealing with mixed workloads and time varying scenarios is still an open problem. This paper addresses such challenges by exploiting the synergy between Design Space Exploration and Run-Time Resource Management to achieve effective and flexible system-wide application adaptivity. The proposed approach and related toolset have been validated on a multi-core NUMA platform, showing significant improvements in terms of QoS and resource utilization compared to conventional application-level optimization strategies.

Combining application adaptivity and system-wide Resource Management on multi-core platforms

MASSARI, GIUSEPPE;PAONE, EDOARDO;BELLASI, PATRICK;PALERMO, GIANLUCA;ZACCARIA, VITTORIO;FORNACIARI, WILLIAM;SILVANO, CRISTINA
2014

Abstract

To better exploit the capabilities offered by multi-core high-end embedded systems, new parallel programming paradigms, such as OpenCL, combined with effective resource management should be adopted. However, dealing with mixed workloads and time varying scenarios is still an open problem. This paper addresses such challenges by exploiting the synergy between Design Space Exploration and Run-Time Resource Management to achieve effective and flexible system-wide application adaptivity. The proposed approach and related toolset have been validated on a multi-core NUMA platform, showing significant improvements in terms of QoS and resource utilization compared to conventional application-level optimization strategies.
Proceedings - International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2014
978-1-4799-3770-7
Electrical and Electronic Engineering; Hardware and Architecture; Modeling and Simulation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/964213
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