Dimitrios Rodopoulos

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—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)
Detailed thermal analysis and exploration has recently received significant attention since it is straightforward-related 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)
In this paper, we propose EDA methodologies for efficient, datapath-wide reliability analysis under Bias Temperature Instability (BTI). The proposed EDA flow combines the efficiency of atomistic, pseudo-transient BTI modeling with the accuracy of commercial Static Timing Analysis (STA) tools. In order to reduce the transistor inventory that needs to be(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)
—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)
In this paper we propose optimization algorithms for the runtime management of gracefully degradable adaptive MP-SoCs. Assuring the reliability of all hardware components in a system becomes increasingly difficult. On top of the growing defect densities and rising complexity of conventional testing, wear-out effects may reduce the availability of on-chip(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)