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This paper describes the implementation of a data-synchronization scheme that can be used in the functional description and hardware realization of algorithms for heterogeneous multi-processor architectures. In this scheme, synchronization primitives are chosen such that they can be implemented efficiently in both hardware and software on distributed shared memory architectures, without the need for atomic semaphore instructions. The proposed solution is flexible as the configuration of the data synchronization is programmable even after a hardware realization. It is also scalable since it can be implemented without the need for central resources.We show with experiments that distributed implementations are needed for scalable and high performance systems-on-a-chip.

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Eclipse is a heterogeneous multiprocessor architecture for high-performance media processing, including highdefinition MPEG encoding/decoding. The scalable architecture framework concurrently executes media processing kernels in function-specific multi-tasking coprocessors and a media processor, communicating via on-chip memory. Eclipse instances combine application configuration flexibility with the efficiency of function-specific hardware.