The document discusses the SALSA project which investigates new parallel programming models for multicore and cloud/grid computing. It aims to develop and apply parallel and distributed cyberinfrastructure to support large-scale data analysis in life sciences. Specific projects discussed include clustering of biology sequences using MapReduce, a study of usability and performance of different cloud approaches, the Twister iterative MapReduce system for complex data analysis, and engaging students in new programming models through various programs.