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Task parallel processing method, storage medium, computer equipment, device and system

A parallel processing and task technology, applied in the field of information, can solve problems such as inconvenience of use, and achieve the effect of improving data processing efficiency

Active Publication Date: 2019-05-28
SHANGHAI CAMBRICON INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide a task parallel processing method, storage medium, computer equipment, device and system for the problem of inconvenient use due to the need to implement task parallelism with framework applications such as tensorflow or Caffe

Method used

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  • Task parallel processing method, storage medium, computer equipment, device and system
  • Task parallel processing method, storage medium, computer equipment, device and system
  • Task parallel processing method, storage medium, computer equipment, device and system

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Embodiment Construction

[0057] In order to make the purpose, technical solution and technical effect of the present invention clearer, specific embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. It should be clear that "first", "second", etc. in this embodiment are only used to distinguish the described objects, and do not have any sequence or technical meaning.

[0058] figure 1 What is shown is a schematic structural diagram of a task parallel processing system 100 (for ease of distinction, hereinafter referred to as the first task parallel processing system) proposed by an embodiment of the present invention. The processor syst...

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Abstract

The invention provides a task parallel processing method. storage medium, computer equipment, device and system, the task directed acyclic graph DAG is constructed according to the dependency relationship between the tasks needing to be executed, then the tasks needing to be executed are distributed and controlled according to the task directed acyclic graph DAG, task parallelism of the multi-coreprocessor is achieved depending on the reschedulability of the work queue, and the data processing efficiency is improved. The implementation of the task parallel processing method provided by the embodiment does not depend on tensorflow or caffe and other framework programs, so that the problems of interface compatibility and the like do not need to be considered during program design.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to a task parallel processing method, storage medium, computer equipment, device and system. Background technique [0002] Although you can use CUDA (Compute Unified Device Architecture, a computing platform launched by graphics card manufacturer NVIDIA), Cudnn (CUDA Deep Neural Network library, a deep neural network acceleration library launched by NVIDIA), Cublas (CUDA Basic Linear Algebra Subprograms, a matrix operation launched by NVIDIA), Acceleration library) and other accelerator API interfaces for programming to realize the program instructions of the convolutional neural network. However, through CUDA, Cudnn, Cublas and other accelerator API interface programming, there is no interdependence between the instructions of the convolutional neural network, and only the programming instructions can be executed sequentially. [0003] The neural network is actually a...

Claims

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Application Information

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IPC IPC(8): G06F9/48
Inventor 不公告发明人
Owner SHANGHAI CAMBRICON INFORMATION TECH CO LTD
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