• 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 ...
    • Fast and accurate BER estimation methodology for I/O links based on extreme value theory 

      Cevrero, A.; Evmorfopoulos, N.; Antoniadis, C.; Ienne, P.; Leblebici, Y.; Burg, A.; Stamoulis, G. (2013)
      This paper introduces a novel approach towards the statistical analysis of modern high-speed 110 and similar communication links; which is capable of reliably to determine extremely low (-10-2 or lower) bit error rates ...
    • 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, ...