Parcourir par auteur "Karakonstantis, G."
Voici les éléments 1-4 de 4
-
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 ...