• AcHEe: Evaluating approximate computing and heterogeneity for energy efficiency 

      Koutsovasilis P., Kalogirou C., Konstantas C., Maroudas M., Spyrou M., Antonopoulos C.D. (2018)
      Energy efficiency is lately a major concern for computer engineers, at the levels of both software and hardware. A popular path is the exploitation of heterogeneity and accelerator-based systems, which combine different ...
    • A programming model and runtime system for approximation-aware heterogeneous computing 

      Parnassos I., Bellas N., Katsaros N., Patsiatzis N., Gkaras A., Kanellis K., Antonopoulos C.D., Spyrou M., Maroudas M. (2017)
      Heterogeneous platforms that include diverse architectures such as multicore CPUs, FPGAs and GPUs are becoming very popular due to their superior performance and energy efficiency. Besides heterogeneity, a promising approach ...
    • 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 ...