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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gohringer, D. Birk, M. Dasse-Tiyo, Y. Ruiter, N. Hubner, M. Becker, J. |
| Copyright Year | 2011 |
| Description | Author affiliation: Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany (Birk, M.; Ruiter, N.; Hubner, M.; Becker, J.) || Fraunhofer IOSB, Ettlingen, Germany (Gohringer, D.; Dasse-Tiyo, Y.) |
| Abstract | Different characteristics of algorithms, perform better or worse on various target hardware. The consequent of this is, that the selection of one suitable hardware, such as Graphic Processing Units (GPU), Field Programmable Gate Arrays (FPGAs) or traditional processor cores is a challenging task for developers. The challenge is to choose the most suitable platform satisfying the requirements of the given application, such as real-time and power- / energy consumption constraints. Due to short time to market pressure, a fast development cycle is also a very important characteristic in industrial applications. This work evaluates the performance, power- /energy consumption and the development effort for three processor-based systems: an FPGA-based multiprocessor platform called RAMPSoC, a GPU and a CPU. Two real-world applications have been selected for this evaluation: 3D Ultrasound Computer Tomography and Object Recognition. The paper presents the realization of the applications on the different target hardware and discusses the results of the power and performance evaluation. |
| Starting Page | 848 |
| Ending Page | 853 |
| File Size | 1009917 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457704352 |
| e-ISBN | 9781457704345 |
| e-ISBN | 9781457704338 |
| DOI | 10.1109/INDIN.2011.6035003 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-26 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Instruction sets Finite impulse response filter Hardware Object recognition Kernel Field programmable gate arrays Graphics processing unit |
| Content Type | Text |
| Resource Type | Article |
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