DaemonGuard: Enabling O/S-Orchestrated Fine-Grained Software-Based Selective-Testing in Multi-/Many-Core Microprocessors PROJECT TITLE :DaemonGuard: Enabling O/S-Orchestrated Fine-Grained Software-Based Selective-Testing in Multi-/Many-Core MicroprocessorsABSTRACT:As technology scales deep into the sub-micron regime, transistors lessen reliable. Future systems are widely predicted to suffer from considerable aging and wear-out effects. This ominous threat has urged system designers to develop effective run-time testing methodologies that may monitor and assess the system's health. In this work, we have a tendency to investigate the potential of online software-based mostly practical testing at the granularity of individual microprocessor core elements in multi-/several-core systems. Whereas existing techniques monolithically test the complete core, our approach aims to scale back testing time by avoiding the over-testing of under-utilised units. To facilitate fine-grained testing, we have a tendency to introduce DaemonGuard, a framework that enables the real-time observation of individual sub-core modules and performs on-demand selective testing of only the modules that have recently been stressed. Moreover, we tend to investigate the impact of the cache hierarchy on the testing method and we develop a cache-aware selective testing methodology that considerably expedites the execution of memory-intensive take a look at programs. The monitoring and check-initiation method is orchestrated by a clear, minimally-intrusive, and light-weight operating system process that observes the use of individual datapath components at run-time. We tend to perform a series of experiments employing a full-system, execution-driven simulation framework running a commodity operating system, real multi-threaded workloads, and check programs. Our results indicate that operating-system-assisted selective testing at the sub-core level leads to substantial savings in testing time and very low impact on system performance. Additionally, the cache-aware testing technique is shown to be terribly effective in exploiting the memory hierarchy to further minimize the testing time. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Recommender System and Web 2.0 Tools to Enhance a Blended Learning Model How the Brain Formulates Memory: A Spatio-Temporal Model Research Frontier