Storage device and fetching method for multilayered cooperation and sharing in GPDSP (General-Purpose Digital Signal Processor)

Abstract

The invention discloses a storage device and a fetching method for multilayered cooperation and sharing in a GPDSP (General-Purpose Digital Signal Processor). The device comprises a plurality of DSP (Digital Signal Processor) cores and an overall sharing caching unit for caching off-chip storage data, wherein each DSP core is connected with the overall sharing caching unit by an on-chip network; each DSP core comprises a scalar storage unit and a vector array storage unit which are parallel to each other; each DSP core is used for carrying out in-core data fetching through the respective scalar storage unit and vector array storage unit, and sharing data through the overall sharing caching unit. The method can be used for uniformly addressing through the scalar storage units and the vector array storage units, and fetching the scalar storage units according to data type configurations. By the aid of the device and the method, the efficient fetching of the data in the single core and the efficient sharing of the inter-core data in the GPDSP can be realized; the device and the method have the advantages of high accessing efficiency, small hardware cost and flexible configuration.

Description

technical field [0001] The invention relates to the technical field of general-purpose digital signal processors (General-Purpose Digital Signal Processor, GPDSP), in particular to a multi-level collaborative and shared storage device and a memory access method in the GPDSP. Background technique [0002] As the development of integrated circuit technology is getting closer and closer to the physical limit of transistors, the method of improving the performance of microprocessors simply by increasing the main frequency will face an insurmountable power consumption wall, so microprocessors turn to monolithic integrated multi-core direction of development. As a high-performance multi-core general-purpose digital signal processor, GPDSP can efficiently realize a large number of digital signal processing in various embedded applications and general scientific computing applications, especially for a system with high data density, parallelism, and locality. Class applications, wh...

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Problems solved by technology

[0004] 1) Due to the huge difference in the distance from the same microprocessor core to different memory banks, different data access delays are generated;

[0005] 2) Access to the same address space by multiple microprocessors may have different latencies;

[0006] 3) In a multi-core microprocessor, the cores are interconnected through an on-chip network. In addition to the length of the access distance, the memory access delay also depends on the bandwidth speed of the on-chip interconnection network, so the memory access delay is long and uncertain;

[0007] 4) Shared memory has become a data access bottleneck, requiring complex hardware structures to maintain data consistency in multi-core multi-level caches, which affects the scalability of multi-core shared storage

[0008] To sum up, the current distributed shared memory is not conducive to GPDSP's real-time and efficient digital signal processing, and it is difficult to exert its peak computing performance

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