Abstract
Power efficiency is a critical constraint for embedded systems. To address this many technological innovations are being proposed by the community. However, leveraging such advances also requires algorithmic solutions to handle the potential for run-time errors due to near threshold computing. In this work we plan to develop algorithmic innovations and optimizations for power efficiency in the emerging landscape of embedding computing platforms. We also plan to develop resilient run-time systems and incorporate resiliency in algorithmic solutions. In this paper we briefly describe our design methodology employed in the TAPAS (Tunable Algorithms for PERFECT Architectures) project. The TAPAS project is funded under the DARPA PERFECT (Power Efficiency Revolution for Embedded Computing Technologies) program.
This work has been funded by DARPA under grant number HR0011-12-2-0023.
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References
Prasanna, V.K.: Energy-Efficient Computations on FPGAs. J. Supercomput. 32(2), 139–162 (2005)
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Matam, K.K., Prasanna, V.K. (2013). Algorithm Design Methodology for Embedded Architectures. In: Brisk, P., de Figueiredo Coutinho, J.G., Diniz, P.C. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2013. Lecture Notes in Computer Science, vol 7806. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36812-7_31
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DOI: https://doi.org/10.1007/978-3-642-36812-7_31
Publisher Name: Springer, Berlin, Heidelberg
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