Patents by Inventor Bingrui WANG
Bingrui WANG has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
-
Patent number: 11720357Abstract: The present disclosure provides a computation device. The computation device is configured to perform a machine learning computation, and includes an operation unit, a controller unit, and a conversion unit. The storage unit is configured to obtain input data and a computation instruction. The controller unit is configured to extract and parse the computation instruction from the storage unit to obtain one or more operation instructions, and to send the one or more operation instructions and the input data to the operation unit. The operation unit is configured to perform operations on the input data according to one or more operation instructions to obtain a computation result of the computation instruction. In the examples of the present disclosure, the input data involved in machine learning computations is represented by fixed-point data, thereby improving the processing speed and efficiency of training operations.Type: GrantFiled: December 16, 2019Date of Patent: August 8, 2023Assignee: SHANGHAI CAMBRICON INFORMATION TECHNOLOGY CO., LTDInventors: Yao Zhang, Bingrui Wang
-
Patent number: 11709672Abstract: The present disclosure provides a computation device. The computation device is configured to perform a machine learning computation, and includes an operation unit, a controller unit, and a conversion unit. The storage unit is configured to obtain input data and a computation instruction. The controller unit is configured to extract and parse the computation instruction from the storage unit to obtain one or more operation instructions, and to send the one or more operation instructions and the input data to the operation unit. The operation unit is configured to perform operations on the input data according to one or more operation instructions to obtain a computation result of the computation instruction. In the examples of the present disclosure, the input data involved in machine learning computations is represented by fixed-point data, thereby improving the processing speed and efficiency of training operations.Type: GrantFiled: December 16, 2019Date of Patent: July 25, 2023Assignee: SHANGHAI CAMBRICON INFORMATION TECHNOLOGY CO., LTDInventors: Yao Zhang, Bingrui Wang
-
Patent number: 11710031Abstract: The present disclosure provides an integrated circuit chip device and a related product. The integrated circuit chip device includes: a primary processing circuit and a plurality of basic processing circuits. The primary processing circuit or at least one of the plurality of basic processing circuits includes the compression mapping circuits configured to perform compression on each data of a neural network operation. The technical solution provided by the present disclosure has the advantages of a small amount of computations and low power consumption.Type: GrantFiled: November 27, 2019Date of Patent: July 25, 2023Assignee: CAMBRICON TECHNOLOGIES CORPORATION LIMITEDInventors: Shaoli Liu, Xinkai Song, Bingrui Wang, Yao Zhang, Shuai Hu
-
Patent number: 11704544Abstract: The present disclosure provides an integrated circuit chip device and a related product. The integrated circuit chip device includes: a primary processing circuit and a plurality of basic processing circuits. The primary processing circuit or at least one of the plurality of basic processing circuits includes the compression mapping circuits configured to perform compression on each data of a neural network operation. The technical solution provided by the present disclosure has the advantages of a small amount of computations and low power consumption.Type: GrantFiled: November 27, 2019Date of Patent: July 18, 2023Assignee: CAMBRICON TECHNOLOGIES CORPORATION LIMITEDInventors: Tianshi Chen, Shaoli Liu, Bingrui Wang, Yao Zhang
-
Patent number: 11704545Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.Type: GrantFiled: December 19, 2019Date of Patent: July 18, 2023Assignee: CAMBRICON TECHNOLOGIES CORPORATION LIMITEDInventors: Shaoli Liu, Xinkai Song, Bingrui Wang, Yao Zhang, Shuai Hu
-
Patent number: 11704125Abstract: The present disclosure provides a computation device. The computation device is configured to perform a machine learning computation, and includes an operation unit, a controller unit, and a conversion unit. The storage unit is configured to obtain input data and a computation instruction. The controller unit is configured to extract and parse the computation instruction from the storage unit to obtain one or more operation instructions, and to send the one or more operation instructions and the input data to the operation unit. The operation unit is configured to perform operations on the input data according to one or more operation instructions to obtain a computation result of the computation instruction. In the examples of the present disclosure, the input data involved in machine learning computations is represented by fixed-point data, thereby improving the processing speed and efficiency of training operations.Type: GrantFiled: December 16, 2019Date of Patent: July 18, 2023Assignee: Cambricon (Xi'an) Semiconductor Co., Ltd.Inventors: Yao Zhang, Bingrui Wang
-
Patent number: 11687339Abstract: The present disclosure provides a data processing method and an apparatus and a related product. The products include a control module including an instruction caching unit, an instruction processing unit, and a storage queue unit. The instruction caching unit is configured to store computation instructions associated with an artificial neural network operation; the instruction processing unit is configured to parse the computation instructions to obtain a plurality of operation instructions; and the storage queue unit is configured to store an instruction queue, where the instruction queue includes a plurality of operation instructions or computation instructions to be executed in the sequence of the queue. By utilizing the above-mentioned method, the present disclosure can improve the operation efficiency of related products when performing operations of a neural network model.Type: GrantFiled: May 21, 2021Date of Patent: June 27, 2023Assignee: CAMBRICON TECHNOLOGIES CORPORATION LIMITEDInventors: Shaoli Liu, Bingrui Wang, Zhen Li, Jun Liang
-
Patent number: 11663002Abstract: The present disclosure provides a computation device. The computation device is configured to perform a machine learning computation, and includes an operation unit, a controller unit, and a conversion unit. The storage unit is configured to obtain input data and a computation instruction. The controller unit is configured to extract and parse the computation instruction from the storage unit to obtain one or more operation instructions, and to send the one or more operation instructions and the input data to the operation unit. The operation unit is configured to perform operations on the input data according to one or more operation instructions to obtain a computation result of the computation instruction. In the examples of the present disclosure, the input data involved in machine learning computations is represented by fixed-point data, thereby improving the processing speed and efficiency of training operations.Type: GrantFiled: December 16, 2019Date of Patent: May 30, 2023Assignee: SHANGHAI CAMBRICON INFORMATION TECHNOLOGY CO., LTDInventors: Yao Zhang, Bingrui Wang
-
Patent number: 11657258Abstract: The present disclosure discloses a neural network processing module, in which a mapping unit is configured to receive an input neuron and a weight, and then process the input neuron and/or the weight to obtain a processed input neuron and a processed weight; and an operation unit is configured to perform an artificial neural network operation on the processed input neuron and the processed weight. Examples of the present disclosure may reduce additional overhead of the device, reduce the amount of access, and improve efficiency of the neural network operation.Type: GrantFiled: November 27, 2019Date of Patent: May 23, 2023Assignee: CAMBRICON TECHNOLOGIES CORPORATION LIMITEDInventors: Yao Zhang, Shaoli Liu, Bingrui Wang, Xiaofu Meng
-
Patent number: 11651202Abstract: The present disclosure provides an integrated circuit chip device and a related product. The integrated circuit chip device includes: a primary processing circuit and a plurality of basic processing circuits. The primary processing circuit or at least one of the plurality of basic processing circuits includes the compression mapping circuits configured to perform compression on each data of a neural network operation. The technical solution provided by the present disclosure has the advantages of a small amount of computations and low power consumption.Type: GrantFiled: November 27, 2019Date of Patent: May 16, 2023Assignee: CAMBRICON TECHNOLOGIES CORPORATION LIMITEDInventors: Tianshi Chen, Shaoli Liu, Bingrui Wang, Yao Zhang
-
Publication number: 20230120704Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.Type: ApplicationFiled: December 20, 2022Publication date: April 20, 2023Applicant: Cambricon Technologies Corporation LimitedInventors: Shaoli Liu, Xinkai Song, Bingrui Wang, Yao Zhang, Shuai Hu
-
Publication number: 20230121164Abstract: An integrated circuit chip apparatus and a processing method performed by an integrated circuit chip apparatus are disclosed. The disclosed integrated circuit chip apparatus and processing method are used for executing a multiplication operation, a convolution operation, or a training operation of a neural network. The present technical solution has the advantages of a reduced computational cost and low power consumption.Type: ApplicationFiled: December 20, 2022Publication date: April 20, 2023Applicant: Cambricon Technologies Corporation LimitedInventors: Shaoli Liu, Xinkai Song, Bingrui Wang, Yao Zhang, Shuai Hu
-
Patent number: 11630666Abstract: The present disclosure provides a computation device. The computation device is configured to perform a machine learning computation, and includes an operation unit, a controller unit, and a conversion unit. The storage unit is configured to obtain input data and a computation instruction. The controller unit is configured to extract and parse the computation instruction from the storage unit to obtain one or more operation instructions, and to send the one or more operation instructions and the input data to the operation unit. The operation unit is configured to perform operations on the input data according to one or more operation instructions to obtain a computation result of the computation instruction. In the examples of the present disclosure, the input data involved in machine learning computations is represented by fixed-point data, thereby improving the processing speed and efficiency of training operations.Type: GrantFiled: December 16, 2019Date of Patent: April 18, 2023Assignee: SHANGHAI CAMBRICON INFORMATION TECHNOLOGY CO., LTDInventors: Yao Zhang, Bingrui Wang
-
Patent number: 11620130Abstract: The present disclosure provides a computation device. The computation device is configured to perform a machine learning computation, and includes an operation unit, a controller unit, and a conversion unit. The storage unit is configured to obtain input data and a computation instruction. The controller unit is configured to extract and parse the computation instruction from the storage unit to obtain one or more operation instructions, and to send the one or more operation instructions and the input data to the operation unit. The operation unit is configured to perform operations on the input data according to one or more operation instructions to obtain a computation result of the computation instruction. In the examples of the present disclosure, the input data involved in machine learning computations is represented by fixed-point data, thereby improving the processing speed and efficiency of training operations.Type: GrantFiled: December 16, 2019Date of Patent: April 4, 2023Assignee: SHANGHAI CAMBRICON INFORMATION TECHNOLOGY CO., LTDInventors: Yao Zhang, Bingrui Wang
-
Publication number: 20230095610Abstract: An integrated circuit chip device and related products are provided. The integrated circuit chip device is used for performing a multiplication operation, a convolution operation, or a training operation of a neural network. The device has the advantages of small calculation amount and low power consumption.Type: ApplicationFiled: December 2, 2022Publication date: March 30, 2023Applicant: Cambricon Technologies Corporation LimitedInventors: Shaoli LIU, Xinkai SONG, Bingrui WANG, Yao ZHANG, Shuai HU
-
Patent number: 11609760Abstract: The present disclosure provides a computation device. The computation device is configured to perform a machine learning computation, and includes an operation unit, a controller unit, and a conversion unit. The storage unit is configured to obtain input data and a computation instruction. The controller unit is configured to extract and parse the computation instruction from the storage unit to obtain one or more operation instructions, and to send the one or more operation instructions and the input data to the operation unit. The operation unit is configured to perform operations on the input data according to one or more operation instructions to obtain a computation result of the computation instruction. In the examples of the present disclosure, the input data involved in machine learning computations is represented by fixed-point data, thereby improving the processing speed and efficiency of training operations.Type: GrantFiled: September 3, 2018Date of Patent: March 21, 2023Assignee: SHANGHAI CAMBRICON INFORMATION TECHNOLOGY CO., LTDInventors: Yao Zhang, Bingrui Wang
-
Patent number: 11586891Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.Type: GrantFiled: December 19, 2019Date of Patent: February 21, 2023Assignee: CAMBRICON TECHNOLOGIES CORPORATION LIMITEDInventors: Shaoli Liu, Xinkai Song, Bingrui Wang, Yao Zhang, Shuai Hu
-
Patent number: 11562219Abstract: An integrated circuit chip apparatus and a processing method performed by an integrated circuit chip apparatus are disclosed. The disclosed integrated circuit chip apparatus and processing method are used for executing a multiplication operation, a convolution operation, or a training operation of a neural network. The present technical solution has the advantages of a reduced computational cost and low power consumption.Type: GrantFiled: September 2, 2020Date of Patent: January 24, 2023Assignee: CAMBRICON TECHNOLOGIES CORPORATION LIMITEDInventors: Shaoli Liu, Xinkai Song, Bingrui Wang, Yao Zhang, Shuai Hu
-
Patent number: 11562216Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.Type: GrantFiled: December 19, 2019Date of Patent: January 24, 2023Assignee: CAMBRICON TECHNOLOGIES CORPORATION LIMITEDInventors: Shaoli Liu, Xinkai Song, Bingrui Wang, Yao Zhang, Shuai Hu
-
Patent number: 11561800Abstract: A pooling operation method and a processing device for performing the same are provided. The pooling operation method may rearrange a dimension order of the input data before pooling is performed. The technical solutions provided by the present disclosure have the advantages of short operation time and low energy consumption.Type: GrantFiled: October 24, 2019Date of Patent: January 24, 2023Assignee: CAMBRICON TECHNOLOGIES CORPORATION LIMITEDInventors: Shaoli Liu, Tianshi Chen, Bingrui Wang, Yao Zhang