Enabling Access to Welfare Services - the Place of Social Solidarity and Dialogue

The welfare state in the UK presents immigrant communities with a set of institutions, which are potentially new and unknown. What is the best way to ensure that the questions of access to the welfare institutions are best managed? Trusting, understanding and feeling solidarity with the welfare state will obviously help with this problem. In order to shed light on this phenomenon, this paper presents a qualitative exploratory study dealing with elements of solidarity as perceived by members of the South Asian Community in the UK. Six indepth interviews with South Asian first generation immigrants who had never experienced mental health problems were conducted. They were asked questions about who their support networks would be in the event of them experiencing mental health problems. The thematic analysis of the interviews suggests that the respondents believed that solidarity and support ties are found to be present in families, within the south Asian community and also with welfare institutions. It is concluded that there although things are far from perfect, assimilation and integration based on dialogue is an observable positive aspect of mental health service provision in the UK.

Collision Detection: Broad Phase Adaptation from Multi-Core to Multi-GPU Architecture

We present in this paper several contributions on the collision detection optimization centered on hardware performance. We focus on the broad phase which is the first step of the collision detection process and propose three new ways of parallelization of the well-known Sweep and Prune algorithm. We first developed a multi-core model takes into account the number of available cores. Multi-core architecture enables us to distribute geometric computations with use of multi-threading. Critical writing section and threads idling have been minimized by introducing new data structures for each thread. Programming with directives, like OpenMP, appears to be a good compromise for code portability. We then proposed a new GPU-based algorithm also based on the "Sweep and Prune" that has been adapted to multi-GPU architectures. Our technique is based on a spatial subdivision method used to distribute computations among GPUs. Results show that significant speed-up can be obtained by passing from 1 to 4 GPUs in a large-scale environment.