Parallel and Distributed Processing Symposium, International (2008)
Miami, FL, USA
Apr. 14, 2008 to Apr. 18, 2008
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
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.
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