Self-Adaptation for Availability in CPU-FPGA Systems Under Soft Errors

We introduce a model-based reliability estimation to preserve application availability in CPU-FPGA systems exposed to soft errors under varying environment conditions. The estimation is used as an in-system method to select a suitable configuration for changing radiation conditions. This allows systems to autonomously adapt their configuration in order to balance between reliability and performance. Such a self-adaptation goes beyond the state-of-the-art, where adaptation relies on preplanned reactive mode changes. By autonomously evaluating new configurations, our self-adaptation process is capable of increasing the availability by selecting the configuration with the desired application reliabilities for the current environment conditions

Design Space Exploration and Resource Management of Multi/Many-Core Systems

The increasing demand of processing a higher number of applications and related data on computing platforms has resulted in reliance on multi-/many-core chips as they facilitate parallel processing. However, there is a desire for these platforms to be energy-efficient and reliable, and they need to perform secure computations for the interest of the whole community. This book provides perspectives on the aforementioned aspects from leading researchers in terms of state-of-the-art contributions and upcoming trends