A low-overhead dedicated execution support for stream applications on shared-memory cmp

The ever-growing number of cores in Chip Multi-Processors (CMP) brings a renewed interest in stream programming to solve the programmability issues raised by massively parallel architectures. Stream programming languages are flourishing (StreaMIT, Brook, ∑C, etc.). Nonetheless, their execution support have not yet received enough attention, in particular regarding the new generation of many-cores. In embedded software, a lightweight solution can be implemented as a specialized library, but a dedicated micro-kernel offers a more flexible solution. We propose to explore the latter way with a Logical Vector Time based execution model, for CMP architectures with on-chip shared memory.