Embedded SoC designs are embracing the many-core paradigm to deliver the required performance to run an ever-increasing number of applications in parallel. Networks-on-Chip (NoC) are considered as a convenient technology to implement many-core embedded platforms. The complex and non-uniform nature of the traffic flows generated when multiple parallel applications are running simultaneously calls for Quality-of-Service (QoS) extensions in the NoC, but to efficiently exploit similar services it is necessary to expose them to the software in a easy-to-use yet efficient manner. In this paper we present an integrated hardware/software approach for delivering QoS on top of an hybrid OpenMP-MPI parallel programming model. Our experimental results show the effectiveness of our proposal over a broad range of benchmarks and application mappings, demonstrating the ability to manage parallelism under QoS requirements effortlessly from the programming model.
An integrated, programming model-driven framework for NoC–QoS support in cluster-based embedded many-cores / Joven, J.; Marongiu, A.; Angiolini, F.; Benini, L.; De Micheli, G.. - In: PARALLEL COMPUTING. - ISSN 0167-8191. - STAMPA. - 39:10(2013), pp. 549-566. [10.1016/j.parco.2013.06.002]
An integrated, programming model-driven framework for NoC–QoS support in cluster-based embedded many-cores
A. Marongiu;
2013
Abstract
Embedded SoC designs are embracing the many-core paradigm to deliver the required performance to run an ever-increasing number of applications in parallel. Networks-on-Chip (NoC) are considered as a convenient technology to implement many-core embedded platforms. The complex and non-uniform nature of the traffic flows generated when multiple parallel applications are running simultaneously calls for Quality-of-Service (QoS) extensions in the NoC, but to efficiently exploit similar services it is necessary to expose them to the software in a easy-to-use yet efficient manner. In this paper we present an integrated hardware/software approach for delivering QoS on top of an hybrid OpenMP-MPI parallel programming model. Our experimental results show the effectiveness of our proposal over a broad range of benchmarks and application mappings, demonstrating the ability to manage parallelism under QoS requirements effortlessly from the programming model.File | Dimensione | Formato | |
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