Formalised peer mentoring pilot evaluation

Over the past ten years, mentoring of children and young people has become an increasingly important feature of social policy in the UK. This has been mirrored in the rapid growth in the number of mentoring schemes operating. However, it is widely acknowledged that no one single definition or model of mentoring exists; rather there are a number of different models providing support to young people in a range of settings. This research was undertaken during the autumn term of 2006 and the summer term of 2007. The methodology comprised an analysis of mentoring models in the 180 participating schools; questionnaires sent to all co-ordinators and to mentors/proteges in 40 schools; interviews with co-ordinators, pupils and support agents in 8 case study schools. Includes: •Introduction •Evaluation methodology •Analysis of school pilot application forms •Evaluation results •Conclusions •Recommendations •Bibliography •Appendices

Automatic relative debugging of OpenMP programs

In this work we show how automatic relative debugging can be used to find differences in computation between a correct serial program and an OpenMP parallel version of that program that does not yield correct results. Backtracking and re-execution are used to determine the first OpenMP parallel region that produces a difference in computation that may lead to an incorrect value the user has indicated. Our approach also lends itself to finding differences between parallel computations, where executing with M threads produces expected results but an N thread execution does not (M, N > 1, M ≠ N). OpenMP programs created using a parallelization tool are addressed by utilizing static analysis and directive information from the tool. Hand-parallelized programs, where OpenMP directives are inserted by the user, are addressed by performing data dependence and directive analysis.