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Hybrid precision arithmetic unit applied to reconfigurable array driven by data flow

A computing unit and data flow technology, applied in the direction of electrical digital data processing, digital computer components, digital data processing components, etc., can solve the problems of wasting computing resources, loss of computing accuracy, etc., to reduce overhead, improve overall performance, The effect of fewer memory accesses

Pending Publication Date: 2022-02-15
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, for high-precision integer computing units, direct low-precision computing will waste computing resources, and if low-precision multi-data parallel computing is used, computing accuracy will be lost

Method used

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  • Hybrid precision arithmetic unit applied to reconfigurable array driven by data flow
  • Hybrid precision arithmetic unit applied to reconfigurable array driven by data flow
  • Hybrid precision arithmetic unit applied to reconfigurable array driven by data flow

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Embodiment Construction

[0045] The following describes several preferred embodiments of the present invention with reference to the accompanying drawings, so as to make the technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.

[0046] In the drawings, components with the same structure are denoted by the same numerals, and components with similar structures or functions are denoted by similar numerals. The size and thickness of each component shown in the drawings are shown arbitrarily, and the present invention does not limit the size and thickness of each component. In order to make the illustration clearer, the thickness of parts is appropriately exaggerated in some places in the drawings.

[0047] The invention belongs to the field of computing unit design, and relates to the realization of mixed-precision computing in ...

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PUM

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Abstract

The invention discloses a hybrid precision arithmetic unit applied to a reconfigurable array driven by a data flow, and relates to the field of arithmetic unit design. The invention provides the arithmetic unit which supports hybrid precision and multiple working modes. Compared with an arithmetic unit provided at a present stage, the invention designs the high-energy-efficiency fixed-point arithmetic unit supporting multiple specifications and hybrid precision for general computation intensive application, and working modes are selected according to requirements; and based on the low-power-consumption low-overhead hybrid precision arithmetic unit and a reasonable data flow scheduling mode designed by the invention, the problems of low resource utilization rate and precision loss of the hybrid unit in a neural network application-oriented low-precision operation mode of a coarse-grained reconfigurable array fixed-specification calculation unit are solved, and the neural network application-oriented performance of the reconfigurable array is greatly improved.

Description

technical field [0001] The invention relates to the field of computing unit design, in particular to a mixed-precision computing unit applied to a reconfigurable array driven by data flow. Background technique [0002] Coarse-grained reconfigurable architectures for general-purpose computing-intensive applications are generally composed of processing units PE or reconfigurable units RC. The units are connected through topology reconfiguration of interconnect lines, and computing tasks are mapped through auxiliary software and hardware. Its main advantage is a good balance between performance and flexibility. Traditional general-purpose reconfigurable arrays only support single-precision integer arithmetic operations, and are universal in terms of application support. At the same time, neural network applications are an important part of computing-intensive applications. Studies have shown that for neural network applications, low-precision calculations can be performed wit...

Claims

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Application Information

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IPC IPC(8): G06F7/575G06F7/544G06F15/78G06N3/063
CPCG06F7/575G06F7/5443G06F15/7867G06N3/063Y02D10/00
Inventor 景乃锋张心怡张子涵蒋剑飞王琴
Owner SHANGHAI JIAO TONG UNIV
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