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Parallel and Distributed Processing Symposium, International (2008)
Miami, FL, USA
Apr. 14, 2008 to Apr. 18, 2008
ISBN: 978-1-4244-1693-6
pp: 1-7
Alexander Klimm , Universität Karlsruhe (TH), Engesserstr. 5, 76131, Germany
Jurgen Becker , Universität Karlsruhe (TH), Engesserstr. 5, 76131, Germany
Lars Braun , Universität Karlsruhe (TH), Engesserstr. 5, 76131, Germany
ABSTRACT
In embedded systems, especially in multi-purpose platforms, the need for computational power can vary greatly. This depends mainly on the type of applications running on the platform as well as on limitations such as real-time constraints or the amount of data being processed. These factors can change during lifetime of the system and even during runtime. A highly adaptive computing platform is desirable, providing exactly the computational power and speed needed for any particular task at any particular time using minimal resources. This contribution discusses a highly scalable multiprocessor system composed of minimal sized processor cores. The proposed architecture is intended for computational intensive applications such as on-line routing and placement on FPGAs or applications in the cryptographic domain. While offering a lot of leeway in computational power it uses minimal resources on an FPGA, thus freeing hardware resources for applications running in parallel to the multiprocessor system.
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CITATION
Alexander Klimm, Jurgen Becker, Lars Braun, "An adaptive and scalable multiprocessor system For Xilinx FPGAs using minimal sized processor cores", Parallel and Distributed Processing Symposium, International, vol. 00, no. , pp. 1-7, 2008, doi:10.1109/IPDPS.2008.4536519
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