Neuchips Corporation

Novatek Microelectronics Corp.

Chiung-Liang Lin

Chao-Yang Kao

Youn-Long Lin

Jian-Wen Chen

Huang-Chih Kuo

Wenhui Yu

Cheng Wei Huang

Juinn Dar Huang

Tim Wei Chen

A matrix calculation device including a storing unit, a multiply accumulate (MAC) circuit, a pre-fetch circuit, and a control circuit, and an operation method thereof are provided. The storing unit stores a first and second matrixes. The MAC circuit is configured to execute MAC calculation. The pre-fetch circuit pre-fetches at least one column of the first matrix from the storing unit to act as pre-fetch data, pre-fetches at least one row of the second matrix from the storing unit to act as the pre-fetch data, or pre-fetches at least one column of the first matrix and at least one row of the second matrix from the storing unit to act as the pre-fetch data. The control circuit decides whether to perform the MAC calculation on a current column of the first matrix and a current row of the second matrix through the MAC circuit according to the pre-fetch data.

Matrix calculation device and operation method thereof

A computing system and a compressing method for neural network parameters are provided. In the method, multiple neural network parameters are obtained. The neural network parameters are used for a neural network algorithm. Every at least two neural network parameters are grouped into an encoding combination. The number of neural network parameters in each encoding combination is the same. The encoding combinations are compressed with the same compression target bit number. Each encoding combination is compressed independently. The compression target bit number is not larger than a bit number of each encoding combination. Thereby, the storage space can be saved and excessive power consumption for accessing the parameters can be prevented.

Computing system and compressing method for neural network parameters

A method and apparatus for encoding and decoding of floating-point number is provided. The method for encoding is used to convert at least one original floating-point number to at least one encoded floating-point number. The method for encoding includes: determining a number of exponent bits of the at least one encoded floating-point number and calculating an exponent bias according to at least one original exponent value of the at least one original floating-point number; and converting an original exponent value of a current original floating-point number of the at least one original floating-point number to an encoded exponent value of a current encoded floating-point number of the at least one encoded floating-point number according to the exponent bias.

Method and apparatus for encoding and decoding of floating-point number

A matrix multiplication device and an operation method thereof are provided. The matrix multiplication device includes a plurality of unit circuits. Each of the unit circuits includes a multiplying-adding circuit, a first register, and a second register. A first input terminal and a second input terminal of the multiplying-adding circuit are respectively coupled to a corresponding first input line and a corresponding second input line. An input terminal and an output terminal of the first register are respectively coupled to an output terminal and a third input terminal of the multiplying-adding circuit. The second register is coupled to the first register to receive and temporarily store a multiplication accumulation result. Wherein, the second registers of the unit circuits output the multiplication accumulation results in a column direction in a first output mode, and output the multiplication accumulation results in a row direction in a second output mode.

Matrix multiplication device and operation method thereof

A matrix multiplication device and an operation method thereof are provided. The matrix multiplication device includes calculation circuits, a control circuit, a multiplication circuit, and a routing circuit. The calculation circuits produce multiply-accumulate values. The control circuit receives a plurality of first element values of a first matrix. The control circuit classifies the first element values into at least one classification value. The multiplication circuit multiplies the classification value by a second element value of a second matrix in a low power mode to obtain at least one product value. The routing circuit transmits each of the product values to at least one corresponding calculation circuit in the calculation circuits in the low power mode.

A display driving apparatus including a pixel reorder circuit, an image processing circuit and a driver circuit is provided. The pixel reorder circuit is configured to reorder pixels of frame data. The frame data includes previous frame data. The image processing circuit is coupled to the pixel reorder circuit. The image processing circuit is configured to perform an image processing operation on the frame data that the pixels have been reordered. The driver circuit is coupled to the pixel reorder circuit. The driver circuit is configured to drive a display according to the previous frame data that pixels have been reordered and the current frame data. Each of the pixels of the frame data includes a first sub-pixel set and a second sub-pixel set. In addition, a display driving method is also provided.

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Hsinchu, Taiwan

Chiung-Liang Lin