The availability of a comprehensive software infrastructure is essential for the success of a parallel architecture. In order to allow for the greatest possible flexibility, an infrastructure has to be designed in an integrated, easy-to-use manner and with the support of multiple parallel programming paradigms and models to address a wide code base. Shared Memory in a LAN-like Environment (SMiLE) provides such an infrastructure for SCI (Scalable Coherent Interface) based clusters. It includes support for a large range of message passing libraries as well as for almost arbitrary shared memory programming models. In addition, SMiLE contains initial work on an appropriate tool set for performance optimization. The complete infrastructure is closely optimized for the underlying hardware and therefore offers its benefits to the user without significant overheads. (Source: http://dl.acm.org/)
References in zbMATH (referenced in 4 articles , 1 standard article )
Showing results 1 to 4 of 4.
- Tao, J.; Schulz, M.; Karl, W.: Improving data locality using dynamic page migration based on memory access histograms (2002)
- Al-Rousan, M.; Archibald, J. K.; Bearnson, L.: Evaluating the impact of locality on the performance of large-scale SCI multiprocessors (2001)
- Tao, Jie; Karl, Wolfgang; Schulz, Martin: Visualizing the memory access behavior of shared memory applications on NUMA architectures (2001)
- Karl, Wolfgang; Schulz, Martin; Trinitis, Jörg: Multilayer online-monitoring for hybrid DSM systems on top of PC clusters with a SMiLE (2000)