The authors intend to direct attention, through this report of a collaborative, school‐based study, towards the interactional processes which characterise secondary foreign language (FL) lessons. It is argued that, since these processes have an influential effect upon pupils' learning and attitudes, this kind of research can yield important insights for an area of the curriculum which has many current problems and which is relatively unpopular with pupils. The methodology employed blends discourse analysis with ethnographic procedures and aims to identify patterns of teacher‐pupil interaction. Degrees of teacher‐dominance in FL lessons are related to constraints which derive from the subject‐matter and purposes of language teaching. Teacher‐strategies, and their implications for pupils' viewpoints of the subject, are considered; and fruitful lines of further research are indicated.
Single-event upsets (SEU) and single-event transients (SET) may lead to crashes or even silent data corruption (SDC) in microprocessors. Error detection and recovery features are employed to mitigate the impact of SEU and SET. However, these features add performance, area, power, and cost overheads. As a result, designers must concentrate their efforts on protecting the most sensitive areas of the processor. Simulated error injection was used to study the propagation of the SEU-induced soft errors in the latest AMD microprocessor module, Bulldozer. This paper presents the Bulldozer architecture, error injection methodology, and experimental results. Propagation of soft errors is quantified by derating factors. Error injection is performed both at the module and unit level, derating factors and simulation times being compared. Accuracy is assessed by deriving confidence intervals of the derating factors. The experiments point out the most sensitive units of the Bulldozer module, and allow efficient implementation of the error-handling features.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.