Fixed point vector processor and vector data access controlling method thereof

A vector processor and data control technology, applied in the direction of machine execution devices, etc., can solve the problems of low versatility, low computing performance, high power consumption and delay, etc., to achieve enhanced reusability, improved computing performance, and flexible configuration. Effect
CN104699458AInactive Publication Date: 2015-06-10HARBIN INST OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
HARBIN INST OF TECH
Publication Date
2015-06-10
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a fixed point vector processor and a vector data access controlling method thereof, relates to a vector processor used for online time series prediction and aims to solve the problems that an existing vector processor incapable of optimizing a specific method is poor in universality and cannot satisfy requirements on online computation. The fixed point vector processor comprises a program counter, a microcode memorizer, a vector memorizer, an arithmetic logic unit and a data control unit. A complete fixed point vector processing procedure is formed by every signal processing procedure of the program counter, the microcode memorizer, the vector memorizer, the arithmetic logic unit and the data control unit. By means of ALU (arithmetic logic unit) designing, an ALU structure of each data path can be changed flexibly according to computation needs, flexible configuration of an instruction set is achieved, and accordingly, the fixed point vector processor and the vector data access controlling method are applicable to occasions required by complex computation.
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Description

technical field

[0001] The invention relates to a fixed-point vector processor with high performance, low power consumption and low delay, in particular to a vector processor for online time series prediction. Background technique

[0002] At present, online machine learning for embedded high-performance computing platforms has become a research hotspot. The high-performance, low-power and low-latency cyber-physical system nodes with online data processing functions integrate information collection, intelligent information processing, and network communication. The functions are highly integrated and are widely used in the fields of environment, industrial production and aerospace engineering. However, for online applications, nonlinear methods need to continuously add new samples and update the model. The ever-increasing sample size and the large amount of calculation required for model updating pose a great challenge to the performance of embedded computing platforms. The...

Claims

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