CPU+FPGA-based heterogeneous computing system and acceleration method thereof

Abstract

The invention discloses a CPU+FPGA-based heterogeneous computing system, and relates to the technical field of heterogeneous computing. According to the system, multiple FPGA acceleration units cooperate with a CPU main control unit to complete a same computing task; the CPU main control unit is responsible for logic judgement and management control, and distributing computing tasks to the FPGA acceleration units; the FPGA acceleration units are responsible for accelerating the computing tasks; each FPGA acceleration unit is internally divided into a static area and a dynamic reconfigurable area; the static areas are responsible for realizing PCIe-DMA communication, SRIO communication and DDR control; and the dynamic reconfigurable areas are responsible for executing kernel functions distributed by the CPU main control unit and accelerating the computing tasks. The system is capable of carrying out parallel acceleration and assembly line acceleration on computing tasks in different task types, so as to greatly enhance the task processing throughout, shorten the task execution time and greatly improve the computing performance of computers.

Description

technical field [0001] The invention relates to the technical field of heterogeneous computing, in particular to a heterogeneous computing system based on CPU+FPGA and an acceleration method thereof. Background technique [0002] Big data refers to a collection of data that cannot be captured, managed and processed by conventional software tools within a certain period of time. It is a massive and high-growth data that requires a new processing model to have stronger decision-making power, insight discovery and process optimization capabilities. efficiency and diversification of information assets. Big data is not suitable for random analysis sampling survey, but all data is used for analysis and processing. Big data has the following characteristics: Volume (mass), Velocity (high speed), Variety (variety), Value (low value density), Veracity (authenticity). [0003] Artificial Intelligence (AI for short) is a new technology science that studies and develops theories, meth...

AI Technical Summary

Problems solved by technology

Traditional CPU+FPGA heterogeneous computing generally uses an FPGA computing card, which has limited acceleration capabilities and cannot meet the computing needs of some large-scale computing tasks.

Therefore, the present invention proposes a heterogeneous computing system using a plurality of FPGA computing cards+CPU to overcome the current limitation of using one FPGA computing card to accelerate the performance, and further improve the computing performance of the computer to meet the increasing computing needs

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