The continuing launch of various multi-core processors popularizes parallel computing of gaining higher performance, however, it also exerts pressures on software developers concerning how to make full use of the multiplicity of resources to get the required benefits due to high coupling of parallel programs to specified hardware. In this paper, we propose SVP, a micro-threading based concurrency model, as an alternative to efficiently program on and manage multi-core, even many-core systems. SVP isolates programming from executing resources so that programs are compiled once and execute regardless of actual cores available, not only numbers, but also properties to achieve scalable speedup. Such lower coupling, better flexibility and portability in parallel applications are highly appreciated. To investigate SVP, tool chains and a fully functional software simulator of an SVP many-core chip have been developed for test and verification. Using this infra-structure, we are able to show how much we can gain from SVP and how speedup is scaled by running the same binary code of Game of Life on a scalable many-core platform.