C. D. D. Antonopoulos and Quintana-Ortí, E. S., “Parallel programming for resilience and energy efficiency”, Parallel Computing, vol. 73, 04 vol., 2018, doi: 10.1016/j.parco.2017.08.007.

K. Parasyris, Koutsovasilis, P. K., Vassiliadis, V., Antonopoulos, C. D. D., Bellas, N., and Lalis, S., “A Framework for Evaluating Software on Reduced Margins Hardware”, 48th International Conference on Dependable Systems and Networks (DSN), 06 vol. Luxemburg, pp. 330-337, 2018, doi: 10.1109/DSN.2018.00043.

K. Parasyris, Bellas, N., Antonopoulos, C. D. D., and Lalis, S., “Exploring the Effects of Code Optimizations on CPU Frequency Margins”, Workshop in Approximate and Transprecision Computing on Emerging Technologies (ATCET), in conjunction with the International Supercomputing Conference (ISC), 06 vol. Frankfurt, Germany, pp. 579-587, 2018, doi: 10.1007/978-3-030-02465-9_42.

K. Tovletoglou et al., “An Energy-Efficient and Error-Resilient Server Ecosystem Exceeding Conservative Scaling Limits”, Design, Automation & Test in Europe Conference & Exhibition, (DATE), 03 vol. Dresden, Germany, 2015.

K. Parasyris, Vassiliadis, V., Antonopoulos, C. D. D., Lalis, S., and Bellas, N., “Significance-Aware Program Execution on Unreliable Hardware”, ACM Transactions on Architecture and Code Optimization (TACO), vol. 14, 04 vol., Art. no. 2, 2017, doi: 10.1145/3058980.

C. Kalogirou, Spyrou, M., Theodosiou, K., and Antonopoulos, C. D. D., “Scheduling Policies for Heterogeneous, Approximate Computing Systems”, 21st Pan-Hellenic Conference on Informatics (PCI), 09 vol. Larissa, Greece, pp. 1-43, 2017, doi: 10.1145/3139367.3139428.

C. Kalogirou, Koutsovasilis, P. K., Maroudas, E., Antonopoulos, C. D. D., Lalis, S., and Bellas, N., “Edge and Cloud Provider Cost Minimization by Exploiting Extended Voltage and Frequency Margins”, Parallel Computing (PARCO), 09 vol. Bologna, Italy, pp. 814-823, 2017, doi: 10.3233/978-1-61499-843-3-814.

V. Vassiliadis et al., “Exploiting Significance of Computations for Energy-Constrained Approximate Computing”, International Journal of Parallel Programming (IJPP), vol. 44, 03 vol., Art. no. 5, 2016, doi: 10.1007/s10766-016-0409-6.

V. Vassiliadis et al., “A significance-driven programming framework for energy-constrained approximate computing”, ACM International Conference on Computing Frontiers (CF), 05 vol. Ischia, Italy, pp. 1-9, 2015, doi: 10.1145/2742854.2742857.