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GPU-based large number computing system

A computing system and large number technology, applied in the field of scientific computing, can solve the problems of inconvenience for people in specific fields to use quickly, different principles, and high use thresholds, and achieve the effect of shortening calculation time, lowering technical thresholds, and improving speed.

Active Publication Date: 2022-04-12
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are several problems in the calculation of large numbers in these fields: 1) The principle of large number calculation is different from that of conventional calculation. Large number calculation needs to spend more CPU computing time, and the time it takes to complete some simulation Far beyond expectations; 2) The existing large number computing library has a high threshold for use, which is not convenient for rapid use by personnel in specific fields

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  • GPU-based large number computing system
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  • GPU-based large number computing system

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Embodiment Construction

[0041] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.

[0042] It should be noted that in the description of the present invention, the terms "first" and "second" are only for the convenience of description, rather than indicating or implying the relative importance of the devices, elements or parameters, so they should not be interpreted as important to the present invention. Invention Limitations.

[0043] figure 1 It is a schematic diagram of main components of an embodiment of the GPU-based large number computing system embodiment of the present invention. Such as figure 1 As shown, the system 100 of this embodiment includes: a large number computing hardware system 110 and a large number com...

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Abstract

The invention relates to the field of scientific computing, in particular to a GPU-based large number computing system, aiming to solve the problems of large number computing time-consuming and high technical threshold. The GPU-based large number computing system of the present invention includes: a large number computing hardware system and a large number computing software system, and the large number computing software system runs on the large number computing hardware system. Among them, the large number calculation software system includes: client software and server software; the client software is used to send calculation request information to the server software; the server software is used to perform large number calculation according to the calculation request information and send the client software Return operation information. The server software is a multi-layer software, which utilizes the numerous and parallel processors of the GPU to realize basic large-number calculations and large-number matrix calculations. The invention can greatly shorten the time for large number calculation tasks, and the user does not need to be familiar with or master the relevant content of large number calculations to complete the large number calculation tasks very conveniently.

Description

technical field [0001] The invention relates to the field of scientific computing, in particular to a GPU-based large number computing system. Background technique [0002] In current computer programming languages, the range of values ​​that can be expressed by its data type is limited by the number of digits of its data type. The basic data types used in calculations include integer and floating-point types. In common programming languages, the largest range of integer data types is 64-bit integer data, and the largest range of floating-point data types is 64-bit double-precision floating-point data. Currently, some programming languages ​​support 128-bit data types. However, whether it is a 64-bit or 128-bit data type, the range of values ​​they can express is limited, and the number of significant digits and precision that can be expressed is limited. [0003] In some fields of physical simulation and astronomical computing, conventional calculations cannot meet the r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F7/57G06F17/16
CPCG06F7/57G06F17/16
Inventor 程宁波邹伟
Owner INST OF AUTOMATION CHINESE ACAD OF SCI