GPU data processing system based on multi-input single-output FIFO structure

Abstract

The invention relates to a GPU (Graphics Processing Unit) data processing system based on a multi-input single-output FIFO (First In First Out) structure, which comprises a mapper, an FIFO and a write pointer, the mapper comprises P input ports and P output ports {E1, E2,... EP}, the P input ports are used for parallelly inputting Q third data acquisition requests and mapping the Q third data acquisition requests to the first Q output ports {E1, E2,... EQ}, and the first Q output ports {E1, E2,... EQ} are used for parallelly inputting the Q third data acquisition requests and mapping the Q third data acquisition requests to the first Q output ports {E1, E2,... EQ}. Storing Q pieces of third data in {E1, E2,... EQ} into an FIFO (First In First Out); the FIFO is a multi-input single-output FIFO and is used for parallelly inputting Q third data acquisition requests and singly outputting the third data acquisition requests in the FIFO; the writing pointer always points to the next row of data to be stored in the current FIFO, the value of the row pointed by the current writing pointer is WR, and after the mapper stores Q third data obtaining requests in the FIFO in parallel, the WR is updated. According to the invention, the data processing efficiency of the GPU is improved.

Description

technical field [0001] The invention relates to the technical field of GPU data processing, in particular to a GPU data processing system based on a multiple-input-single-output FIFO structure. Background technique [0002] There are many parallel processing scenarios in GPU-based data processing, and the parallel output information needs to be stored in FIFO (First Input First Output) for subsequent use. However, since the existing FIFO is a first-out queue, and every Only one piece of information can be input at a time, and multiple information cannot be input in parallel. When encountering a parallel output scenario, only multiple parallel output information can be input separately, which will inevitably cause blockage of the parallel output information channel and reduce GPU data. Processing efficiency. It can be seen from this that how to realize the parallel multi-input of FIFO and improve the data processing efficiency of GPU has become a technical problem to be solv...

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Problems solved by technology

[0002] There are many parallel processing scenarios in GPU-based data processing, and the parallel output information needs to be stored in FIFO (First Input First Output) for subsequent use. However, since the existing FIFO is a first-out queue, and every Only one piece of information can be input at a time, and multiple information cannot be input in parallel. When encountering a parallel output scenario, only multiple parallel output information can be input separately, which will inevitably cause blockage of the parallel output information channel and reduce GPU data. Processing efficiency

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