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Πλοήγηση ανά Συγγραφέα "Karakonstantis, G."

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    • Energy Efficiency through Significance-Based Computing 

      Nikolopoulos, D. S.; Vandierendonck, H.; Bellas, N.; Antonopoulos, C. D.; Lalis, S.; Karakonstantis, G.; Burg, A.; Naumann, U. (2014)
      An extension of approximate computing, significance-based computing exploits applications' inherent error resiliency and offers a new structural paradigm that strategically relaxes full computational precision to provide ...

    • Enhancing design space exploration by extending CPU/GPU specifications onto FPGAs 

      Owaida, M.; Falcao, G.; Andrade, J.; Antonopoulos, C.; Bellas, N.; Purnaprajna, M.; Novo; Karakonstantis, G.; Burg, A.; Ienne, P. (2015)
      The design cycle for complex special-purpose computing systems is extremely costly and time-consuming. It involves a multiparametric design space exploration for optimization, followed by design verification. Designers of ...

    • Shortening design time through multiplatform simulations with a portable OpenCL golden-model: The LDPC decoder case 

      Falcao, G.; Owaida, M.; Novo, D.; Purnaprajna, M.; Bellas, N.; Antonopoulos, C. D.; Karakonstantis, G.; Burg, A.; Ienne, P. (2012)
      Hardware designers and engineers typically need to explore a multi-parametric design space in order to find the best configuration for their designs using simulations that can take weeks to months to complete. For example, ...

    • Significance driven computation on next-generation unreliable platforms 

      Karakonstantis, G.; Bellas, N.; Antonopoulos, C.; Tziantzioulis, G.; Gupta, V.; Roy, K. (2011)
      In this paper, we propose a design paradigm for energy efficient and variation-aware operation of next-generation multicore heterogeneous platforms. The main idea behind the proposed approach lies on the observation that ...