Towards an energy-aware framework for application development and execution in heterogeneous parallel architectures
Visualitza/Obre
10.1007/978-3-319-92792-3_7
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/133685
Tipus de documentCapítol de llibre
Data publicació2019
EditorSpringer
Condicions d'accésAccés obert
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industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
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ProjecteCOMPUTACION DE ALTAS PRESTACIONES VII (MINECO-TIN2015-65316-P)
TANGO - Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation (EC-H2020-687584)
TANGO - Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation (EC-H2020-687584)
Abstract
The Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation (TANGO) project’s goal is to characterise factors which affect power consumption in software development and operation for Heterogeneous Parallel Hardware (HPA) environments. Its main contribution is the combination of requirements engineering and design modelling for self-adaptive software systems, with power consumption awareness in relation to these environments. The energy efficiency and application quality factors are integrated into the application lifecycle (design, implementation and operation). To support this, the key novelty of the project is a reference architecture and its implementation. Moreover, a programming model with built-in support for various hardware architectures including heterogeneous clusters, heterogeneous chips and programmable logic devices is provided. This leads to a new cross-layer programming approach for heterogeneous parallel hardware architectures featuring software and hardware modelling. Application power consumption and performance, data location and time-criticality optimization, as well as security and dependability requirements on the target hardware architecture are supported by the architecture.
CitacióDjemame, K. [et al.]. Towards an energy-aware framework for application development and execution in heterogeneous parallel architectures. A: "Hardware accelerators in data centers". Berlín: Springer, 2019, p. 129-148.
ISBN978-3-319-92791-6
Versió de l'editorhttps://link.springer.com/chapter/10.1007/978-3-319-92792-3_7
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