Conference paper
Automatic generation of application specific FPGA multicore accelerators
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Embedded Systems Engineering, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Language-Based Technology, Department of Applied Mathematics and Computer Science, Technical University of Denmark3
High performance computing systems make increasing use of hardware accelerators to improve performance and power properties. For large high-performance FPGAs to be successfully integrated in such computing systems, methods to raise the abstraction level of FPGA programming are required. In this paper we propose a tool flow, which automatically generates highly optimized hardware multicore systems based on parameters.
Profiling feedback is used to adjust these parameters to improve performance and lower the power consumption. For an image processing application we show that our tools are able to identify optimal performance energy trade-offs points for a multicore based FPGA accelerator.
Language: | English |
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Publisher: | IEEE |
Year: | 2014 |
Pages: | 1440-1444 |
Proceedings: | 48th Asilomar Conference on Signals, Systems and Computers |
ISBN: | 1479982954 , 1479982970 , 1479982989 , 9781479982950 , 9781479982974 and 9781479982981 |
Types: | Conference paper |
DOI: | 10.1109/ACSSC.2014.7094700 |
ORCIDs: | Jensen, Nicklas Bo , Probst, Christian W. and Karlsson, Sven |
Bioengineering Communication, Networking and Broadcast Technologies Components, Circuits, Devices and Systems Computing and Processing Signal Processing and Analysis
Design methodology Field programmable gate arrays Hardware Multicore processing Nickel Space exploration application specific FPGA multicore accelerators automatic generation field programmable gate arrays highly optimized hardware multicore systems image processing application multiprocessing systems power consumption profiling feedback tool flow