Binotto, Alécio P. D. ; Pereira, Carlos Eduardo ; Fellner, Dieter W. (2010)
Towards Dynamic Reconfigurable Load-balancing for Hybrid Desktop Platforms.
2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.
doi: 10.1109/IPDPSW.2010.5470804
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
High-performance platforms are required by applications that use massive calculations. Actually, desktop accelerators (like the GPUs) form a powerful heterogeneous platform in conjunction with multi-core CPUs. To improve application performance on these hybrid platforms, load-balancing plays an important role to distribute workload. However, such scheduling problem faces challenges since the cost of a task at a Processing Unit (PU) is non-deterministic and depends on parameters that cannot be known a priori, like input data, online creation of tasks, scenario changing, etc. Therefore, self-adaptive computing is a potential paradigm as it can provide flexibility to explore computational resources and improve performance on different execution scenarios. This paper presents an ongoing PhD research focused on a dynamic and reconfigurable scheduling strategy based on timing profiling for desktop accelerators. Preliminary results analyze the performance of solvers for SLEs (Systems of Linear Equations) over a hybrid CPU and multi-GPU platform applied to a CFD (Computational Fluid Dynamics) application. The decision of choosing the best solver as well as its scheduling must be performed dynamically considering online parameters in order to achieve a better application performance.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2010 |
| Autor(en): | Binotto, Alécio P. D. ; Pereira, Carlos Eduardo ; Fellner, Dieter W. |
| Art des Eintrags: | Bibliographie |
| Titel: | Towards Dynamic Reconfigurable Load-balancing for Hybrid Desktop Platforms |
| Sprache: | Englisch |
| Publikationsjahr: | 2010 |
| Verlag: | IEEE Computer Society Press, New York |
| Veranstaltungstitel: | 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum |
| DOI: | 10.1109/IPDPSW.2010.5470804 |
| Kurzbeschreibung (Abstract): | High-performance platforms are required by applications that use massive calculations. Actually, desktop accelerators (like the GPUs) form a powerful heterogeneous platform in conjunction with multi-core CPUs. To improve application performance on these hybrid platforms, load-balancing plays an important role to distribute workload. However, such scheduling problem faces challenges since the cost of a task at a Processing Unit (PU) is non-deterministic and depends on parameters that cannot be known a priori, like input data, online creation of tasks, scenario changing, etc. Therefore, self-adaptive computing is a potential paradigm as it can provide flexibility to explore computational resources and improve performance on different execution scenarios. This paper presents an ongoing PhD research focused on a dynamic and reconfigurable scheduling strategy based on timing profiling for desktop accelerators. Preliminary results analyze the performance of solvers for SLEs (Systems of Linear Equations) over a hybrid CPU and multi-GPU platform applied to a CFD (Computational Fluid Dynamics) application. The decision of choosing the best solver as well as its scheduling must be performed dynamically considering online parameters in order to achieve a better application performance. |
| Freie Schlagworte: | Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Graphics processors, Parallel processing, Load balancing |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 04 Feb 2022 12:41 |
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