Multi-core Architectures and Programming

Eigenmittelfinanziertes Projekt


Details zum Projekt

Projektleiter/in:
PD Dr.-Ing. Frank Hannig

Projektbeteiligte:
Oliver Reiche
PD Dr.-Ing. Frank Hannig

Beteiligte FAU-Organisationseinheiten:
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Projektstart: 01.01.2009
Projektende: 31.12.2014


Abstract (fachliche Beschreibung):


In diesem Projekt werden aktuelle Systeme mit mehreren Kernen betrachtet. Beispiele solcher Architekturen sind Graphikkarten, welche bis zu 240 so genannter Steaming-Prozessoren enthalten, oder auch der Cell-Prozessor, welcher ein Power Processing Element (PPE) und 8 Coprozessoren, sogenannte Synergistic Processing Elements besitzt. Neben den Architekturen selbst werden vor allem parallele Programmiermethodiken und die Abbildung von Algorithmen auf solche Architekturen untersucht.


Publikationen
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Membarth, R., Dutta, H., Hannig, F., & Teich, J. (2019). Efficient Mapping of Streaming Applications for Image Processing on Graphics Cards. In Transactions on High-Performance Embedded Architectures and Compilers V. (pp. 1-20). Springer.
Fickenscher, J., Hannig, F., Teich, J., & Bouzouraa, M.E. (2018). Base Algorithms of Environment Maps and Efficient Occupancy Grid Mapping on Embedded GPUs. In Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS) (pp. 298-306). Funchal, Madeira, Portugal, PT: SCITEPRESS.
Fickenscher, J., Schlumberger, J., Hannig, F., Bouzouraa, M.E., & Teich, J. (2018). Cell-based Update Algorithm for Occupancy Grid Maps and new Hybrid Map for ADAS on Embedded GPUs. In IEEE (Eds.), Proceedings of the Design, Automation and Test in Europe (DATE) (pp. 443-448). Dresden, Germany, DE: IEEE.
Fickenscher, J., Reinhart, S., Bouzouraa, M.E., Hannig, F., & Teich, J. (2017). Convoy Tracking for ADAS on Embedded GPUs. In IEEE (Eds.), Proceedings of the Intelligent Vehicles Symposium (IV 2017) (pp. 959-965). Redondo Beach, CA, USA: IEEE.
Fickenscher, J., Bouzouraa, M.E., Hannig, F., & Teich, J. (2017, December). Environment Mapping Using Massively Parallel Architectures. Poster presentation at Vehicle Intelligence, München, DE.
Fickenscher, J., Reiche, O., Schlumberger, J., Hannig, F., & Teich, J. (2016). Modeling, Programming and Performance Analysis of Automotive Environment Map Representations on Embedded GPUs. In Proceedings of the 18th IEEE International High-Level Design Validation and Test Workshop (HLDVT) (pp. 70-77). Santa Cruz, CA, US.
Membarth, R. (2013). Code Generation for GPU Accelerators from a Domain-Specific Language for Medical Imaging (Dissertation).
Membarth, R., Hannig, F., Teich, J., Körner, M., & Eckert, W. (2012). Automatic Optimization of In-Flight Memory Transactions for GPU Accelerators based on a Domain-Specific Language for Medical Imaging. In Proc. of the 11th International Symposium on Parallel and Distributed Computing (ISPDC) (pp. 211-218). Munich, DE: New York, NY, USA: IEEE Press.
Membarth, R., Lupp, J.-H., Hannig, F., Teich, J., Körner, M., & Eckert, W. (2012). Dynamic Task-Scheduling and Resource Management for GPU Accelerators in Medical Imaging. In Proc. of the 25th International Conference on Architecture of Computing Systems (ARCS) (pp. 147-159). Munich, DE: New York, NY, USA: Springer-verlag.
Membarth, R., Hannig, F., Teich, J., Körner, M., & Eckert, W. (2012). Generating Device-specific GPU Code for Local Operators in Medical Imaging. In Proc. of the 26th IEEE International Parallel and Distributed Processing Symposium (IPDPS) (pp. 569-581). Shanghai, CN: New York, NY, USA: IEEE Press.

Zuletzt aktualisiert 2018-16-08 um 10:26