Browsing by Author "Burg, A."
Now showing items 1-4 of 4
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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 ... -
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, ...