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Presentation
Architectural Optimization of Decomposition Algorithms for Wireless Communication Systems
Wireless Communications and Networking Conference, 2009 Proceedings: Budapest, Hungary
  • Ali Irturk, University of California - San Diego
  • Bridget Benson, University of California - San Diego
  • Nikolay Laptev, University of California - San Diego
  • Ryan Kastner, University of California - San Diego
Publication Date
4-5-2009
Abstract
Matrix decomposition is required in various algorithms used in wireless communication applications. FPGAs strike a balance between ASICs and DSPs, as they have the programmability of software with performance capacity approaching that of a custom hardware implementation. However, FPGA architectures require designers to make a countless number of system, architectural and logic design decisions. By performing design space exploration, a designer can find the optimal device for a specific application, however very few tools exist which can accomplish this task. This paper presents automatic generation and optimization of decomposition methods using a core generator tool, GUSTO, that we developed to enable easy design space exploration with different parameterization options such as resource allocation, bit widths of the data, number of functional units and organization of controllers and interconnects. We present a detailed study of area and throughput tradeoffs of matrix decomposition architectures using different parameterizations.
Publisher statement
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Citation Information
Ali Irturk, Bridget Benson, Nikolay Laptev and Ryan Kastner. "Architectural Optimization of Decomposition Algorithms for Wireless Communication Systems" Wireless Communications and Networking Conference, 2009 Proceedings: Budapest, Hungary (2009) p. 1 - 6
Available at: http://works.bepress.com/bbenson/12/