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Baseband signal processing task parallelism real-time scheduling method based on multiple GPUs

A baseband signal processing and task scheduling technology, applied in the computer field, can solve the problems of DSP programming difficulty and poor flexibility.

Inactive Publication Date: 2014-11-19
NORTHWESTERN POLYTECHNICAL UNIV
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  • Application Information

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Problems solved by technology

However, DSP programming is difficult, and its flexibility is poor for constantly upgrading and changing mobile communication standards

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  • Baseband signal processing task parallelism real-time scheduling method based on multiple GPUs
  • Baseband signal processing task parallelism real-time scheduling method based on multiple GPUs
  • Baseband signal processing task parallelism real-time scheduling method based on multiple GPUs

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] An embodiment of the present invention provides a task scheduling method in baseband signal processing, such as figure 1 As shown, the method includes the following steps:

[0032] 101. The application sends a task to the scheduler, and the scheduler puts the task into a corresponding task queue according to the attribute of the task.

[0033] Such as figure 2 As shown, it is a block diagram of the system where the method provided by the embodiment o...

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Abstract

The embodiment of the invention provides a baseband signal processing task parallelism real-time scheduling method based on multiple GPUs, and belongs to the technical field of computers. The method can improve instantaneity and throughout capacity of baseband signal processing. The method includes the steps that an application sends tasks to a scheduler, and the scheduler places the tasks to corresponding task queues according to attributes of the tasks; the scheduler checks flag_GPU marks of the m GPUs periodically, and the number m' of the tasks needed by the m GPUs is obtained after checking; sequenced m' tasks are selected for the GPUs, and the m' tasks inherit preDevice attributes of the task queues which the m' tasks belong to; according to the preDevice attribute of each of the m' tasks, the m' tasks are distributed to a prefetched processor, and the GPUs execute the m' tasks; after the tasks are executed, the flags of the queues which the executed tasks belong to are set to be valid until all the task queues are empty.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a multi-GPU-based parallel real-time scheduling method for baseband signal processing tasks. Background technique [0002] In the process of baseband signal processing, the most frequently used signal modulation and transformation is vector dot multiplication, that is, "multiply-add" operation. Existing baseband signal processing is mainly realized by dedicated hardware DSP, and DSP can be used in The "multiply-add" operation is realized in one clock cycle. But DSP programming is difficult, and its flexibility is poor for the constantly upgrading and changing mobile communication standards. Contents of the invention [0003] Embodiments of the present invention provide a task scheduling method in baseband signal processing, which can improve the real-time performance and throughput of baseband signal processing. [0004] In order to achieve the above object, embodiments of ...

Claims

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Application Information

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IPC IPC(8): G06F9/48G06F9/50
Inventor 张羽郭丽杨刚王严杜三盛张策
Owner NORTHWESTERN POLYTECHNICAL UNIV
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