Dimitrios Rodopoulos

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Technology downscaling is expected to amplify a variety of reliability concerns in future digital systems. A good understanding of reliability threats is crucial for the creation of efficient mitigation techniques. This survey performs a systematic classification of the state of the art on the analysis and modeling of such threats, which are caused by(More)
The need for detailed simulation of integrated circuits has received significant attention since the early stages of design automation. Given the increasing device integration, these simulations have extreme memory footprints, especially within unified memory hierarchies. This paper overcomes the infeasible memory demands of modern circuit simulators.(More)
Detailed thermal analysis is usually performed exclusively at design time since it is a computationally intensive task. In this paper, we introduce a novel methodology for fast, yet accurate, thermal analysis. The introduced methodology is software supported by a new open source tool that enables hierarchical thermal analysis with adaptive levels of(More)
Biologically accurate neuron simulations are increasingly important in research related to brain activity. They are computationally intensive and feature data and task parallelism. In this paper, we present a case study for the mapping of a biologically accurate inferior-olive (InfOli), neural cell simulator on an many-core research platform. The(More)
Detailed thermal analysis and exploration has recently received significant attention since it is straightforwardrelated to numerous reliability issues. Furthermore, thermal profiling is a critical challenge for supporting efficient power management, especially to multi-processor system-on-chips (MPSoCs). This problem becomes even more important if we take(More)
As technology nodes approach deca-nanometer dimensions, many phenomena threaten the binary correctness of processor operation. Computer architects typically enhance their designs with reliability, availability and serviceability (RAS) schemes to correct such errors, in many cases at the cost of extra clock cycles, which, in turn, leads to processor(More)
Transistor miniaturization, combined with the dawn of novel switching semiconductor structures, calls for careful examination of the variability and aging of the computer fabric. Time-zero and time-dependent phenomena need to be carefully considered so that the dependability of digital systems can be guaranteed. Already, architectures contain many(More)
The development of physiologically plausible neuron models comes with increased complexity, which poses a challenge for many-core computing. In this work, we have chosen an extension of the demanding Hodgkin-Huxley model for the neurons of the Inferior Olivary Nucleus, an area of vital importance for motor skills. The computing fabric of choice is an Intel(More)
Atomistic-based approaches accurately model Bias Temperature Instability phenomena, but they suffer from prolonged execution times, preventing their seamless integration in system-level analysis flows. In this paper we present a comprehensive flow that combines the accuracy of Capture Emission Time (CET) maps with the efficiency of the Compact Digital(More)