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Method and apparatus for enabling autonomous acceleration of data stream AI applications

A technology of data flow and data flow graph, which can be used in electrical digital data processing, program code conversion, instruments, etc., and can solve problems such as high overhead.

Pending Publication Date: 2022-03-01
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The overhead of offloading a single operator to a hardware accelerator can be considerable, especially when the computation time of the operator is relatively short

Method used

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  • Method and apparatus for enabling autonomous acceleration of data stream AI applications
  • Method and apparatus for enabling autonomous acceleration of data stream AI applications
  • Method and apparatus for enabling autonomous acceleration of data stream AI applications

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Embodiment Construction

[0036] Embodiments of the invention include methods and apparatus for improving the performance of dataflow applications based on operators scheduled to accelerator hardware for execution. Embodiments include systems that enable hardware accelerators to autonomously execute super-operators (the multi-operator portion) of a dataflow graph with minimal intervention from a host processor. Dataflow applications execute on a computer system that includes a host processing unit and one or more hardware accelerators. The host processing unit controls the overall execution of the program and can schedule operators or super-operators for execution on hardware accelerators. Scheduling operators (or super-operators) to hardware accelerators by the host processor's execution engine is called "offloading."

[0037]Embodiments include an architecture including a development environment and a runtime environment for dataflow programming applications. Users (such as application developers) ...

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Abstract

A method includes analyzing a dataflow graph representing data dependencies between operators of a dataflow application to identify a plurality of candidate groups of the operators. Depending on characteristics of a given hardware accelerator and operators of a given candidate group of the plurality of candidate groups, it is determined whether the operators of the given candidate group are to be combined. Upon determining that the operators of the given candidate group are to be combined, retrieving executable binary code segments corresponding to the operators of the given candidate group; generating a binary code unit including the executable binary code segment and metadata representing execution of a control flow among the executable binary code segment; and scheduling the code unit to the given hardware accelerator to execute the code unit.

Description

[0001] Related Application Cross Reference [0002] This application requires the serial number 16 / 570,822 filed on September 13, 2019, and the title of the invention is "METHOD AND APPARATUS FOR ENABLINGAUTONOMOUS ACCELERATION OF DATAFLOW AI APPLICATIONS" priority of the U.S. patent application of , the contents of which are incorporated herein by reference in their entirety. technical field [0003] The present invention relates to the field of data flow applications, in particular to a method and device for improving the performance of data flow programming applications by reducing the offload overhead associated with offloading operators to hardware accelerators for execution. Background technique [0004] A dataflow application is a computer program (eg, software) written using dataflow programming methods. Modern dataflow applications use operator systems to maximize software compatibility and composability. Developers of modern dataflow applications use operators to...

Claims

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Application Information

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IPC IPC(8): G06F8/41
CPCG06F8/4441G06F8/451
Inventor 芮泽·阿兹米冯承祥愷婷·艾米·王高耀庆田野王翔
Owner HUAWEI TECH CO LTD
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