Patents by Inventor Bing Niu
Bing Niu 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).
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Patent number: 11960919Abstract: An example method of virtualizing a hardware accelerator in a host cluster of a virtualized computing system includes: commanding, at an initiator host in the host cluster, a programmable expansion bus device to reconfigure as a virtual accelerator based on specifications of a hardware accelerator in a target host of the host cluster; executing, in the programmable expansion bus device, software to emulate the virtual accelerator as connected to an expansion bus of the initiator host; receiving, at the programmable expansion bus device, compute tasks from an application executing in the initiator host; and sending, to the target host, the compute tasks for processing by the hardware accelerator.Type: GrantFiled: September 1, 2021Date of Patent: April 16, 2024Assignee: VMware LLCInventors: Bing Niu, Jin He, Qi Liu, Sheng Fang, Xiangdong Che, Xiangjun Song
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Publication number: 20240093944Abstract: The present invention application relates to a spiral heat exchanger and a heat exchange device.Type: ApplicationFiled: November 30, 2021Publication date: March 21, 2024Applicant: SHANGHAI XINGYE MATERIALS TECHNOLOGY CO., LTD.Inventors: Feng GAO, Zaixiang LIU, Yanfeng CHEN, Yuanfeng CAI, Bing WANG, Zhengyan NIU
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Publication number: 20230221993Abstract: The current document is directed to methods and systems that place and manage workloads across heterogeneous hosts within distributed computer systems. In a disclosed method, the functionality of an existing distributed-computer-management system designed for managing homogeneous hosts is modified and improved for application to distributed-computer systems that include heterogeneous hosts. Much of the functionality needed for managing heterogeneous hosts is obtained by modifying implementation of managed objects employed by host agents without affecting the interface between the distributed-computer-management system and the host agents. In addition, host-selection functionality within the distributed-computer-management system can be extended and improved to consider heterogeneous-host characteristics both for placing workloads across heterogeneous hosts and for live migration of virtual machines among different types of hosts.Type: ApplicationFiled: February 23, 2022Publication date: July 13, 2023Applicant: VMware, Inc.Inventors: Jin He, Bing Niu, Qi Liu, Junfeng Wang, Li He, Xiangjun Song
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Publication number: 20230188362Abstract: This disclosure is directed to automated processes for attesting to trustworthiness of a host considered for connection to a data center network. The attestation process is performed in two attestation phases. In the first phase, attestation is performed on a smart network interface controller (“SNIC”) connected to an internal bus of the host using a first trusted platform module (“TPM”) of the SNIC. In the second phase, attestation is performed on the host by the SNIC using a second TPM connected to the internal bus of the host in response to a determination that the SNIC is trustworthy. The host is connected to the data center network in response to a determination by the SNIC that the host is trustworthy.Type: ApplicationFiled: February 7, 2022Publication date: June 15, 2023Applicant: VMware, Inc.Inventors: Bing Niu, Jin He, Jinheng Xu, Li He, Juan Liu, Xiangjun Song
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Publication number: 20230017676Abstract: An example method of virtualizing a hardware accelerator in a host cluster of a virtualized computing system includes: commanding, at an initiator host in the host cluster, a programmable expansion bus device to reconfigure as a virtual accelerator based on specifications of a hardware accelerator in a target host of the host cluster; executing, in the programmable expansion bus device, software to emulate the virtual accelerator as connected to an expansion bus of the initiator host; receiving, at the programmable expansion bus device, compute tasks from an application executing in the initiator host; and sending, to the target host, the compute tasks for processing by the hardware accelerator.Type: ApplicationFiled: September 1, 2021Publication date: January 19, 2023Inventors: Bing NIU, Jin HE, Qi LIU, Sheng FANG, Xiangdong CHE, Xiangjun SONG
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Publication number: 20220164216Abstract: A computing environment can include a host system that maintains a guest system, and a hardware component configured to implement artificial intelligence (“AI”) methods of processing and analyzing date. The guest system can provide a virtual computing environment that receives a request to implement an AI application, and utilize a framework and a guest library to convert data from the AI application into an intermediate representation (“IR”). The host system can receive the IR with a virtual device (“VD”), and utilize an IR backend to translate the IR into hardware operations for the hardware component. Translated hardware operations can be provided to, and carried out by, the hardware component to provide an implementation of the AI application. Results of the hardware operations can be transmitted from the VD of the host system to a VD driver of the guest system, virtualizing the hardware component relative to the guest system.Type: ApplicationFiled: February 14, 2022Publication date: May 26, 2022Inventors: Qi Liu, Xiangjun Song, Jin He, Xiangdong Che, Bing Niu, Sheng Fang
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Patent number: 11249786Abstract: A computing environment can include a host system that maintains a guest system, and a hardware component configured to implement artificial intelligence (“AI”) methods of processing and analyzing date. The guest system can provide a virtual computing environment that receives a request to implement an AI application, and utilize a framework and a guest library to convert data from the AI application into an intermediate representation (“IR”). The host system can receive the IR with a virtual device (“VD”), and utilize an IR backend to translate the IR into hardware operations for the hardware component. Translated hardware operations can be provided to, and carried out by, the hardware component to provide an implementation of the AI application. Results of the hardware operations can be transmitted from the VD of the host system to a VD driver of the guest system, virtualizing the hardware component relative to the guest system.Type: GrantFiled: July 3, 2019Date of Patent: February 15, 2022Assignee: VMware, Inc.Inventors: Qi Liu, Xiangjun Song, Jin He, Xiangdong Che, Bing Niu, Sheng Fang
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Patent number: 10936766Abstract: Various embodiments are generally directed to techniques for employing a hybrid of sequential and parallel processing to perform random sample and consensus (RANSAC). A device to perform RANSAC includes a derivation component to derive a first set of proposed models in parallel from a first set of minimal sample sets of a data set; and a comparison component to recalculate a required quantity of proposed models to derive an accurate model if a proposed model of the first set of proposed models better fits the data set than any proposed model derived prior to derivation of the first set of proposed models, and to determine whether to derive a second set of proposed models following derivation of the first set of proposed models based on a comparison of the required quantity to a quantity of previously derived proposed models that includes the first set. Other embodiments are described and claimed.Type: GrantFiled: March 27, 2014Date of Patent: March 2, 2021Assignee: Intel CorporationInventors: Liu Yang, Qiang Li, Bin Wang, Xianchao Xu, Bing Niu
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Publication number: 20210004252Abstract: A computing environment can include a host system that maintains a guest system, and a hardware component configured to implement artificial intelligence (“AI”) methods of processing and analyzing date. The guest system can provide a virtual computing environment that receives a request to implement an AI application, and utilize a framework and a guest library to convert data from the AI application into an intermediate representation (“IR”). The host system can receive the IR with a virtual device (“VD”), and utilize an IR backend to translate the IR into hardware operations for the hardware component. Translated hardware operations can be provided to, and carried out by, the hardware component to provide an implementation of the AI application. Results of the hardware operations can be transmitted from the VD of the host system to a VD driver of the guest system, virtualizing the hardware component relative to the guest system.Type: ApplicationFiled: July 3, 2019Publication date: January 7, 2021Inventors: Qi Liu, Xiangjun Song, Jin He, Xiangdong Che, Bing Niu, Sheng Fang
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Publication number: 20170140078Abstract: Various embodiments are generally directed to techniques for employing a hybrid of sequential and parallel processing to perform random sample and consensus (RANSAC). A device to perform RANSAC includes a derivation component to derive a first set of proposed models in parallel from a first set of minimal sample sets of a data set; and a comparison component to recalculate a required quantity of proposed models to derive an accurate model if a proposed model of the first set of proposed models better fits the data set than any proposed model derived prior to derivation of the first set of proposed models, and to determine whether to derive a second set of proposed models following derivation of the first set of proposed models based on a comparison of the required quantity to a quantity of previously derived proposed models that includes the first set. Other embodiments are described and claimed.Type: ApplicationFiled: March 27, 2014Publication date: May 18, 2017Applicant: INTEL CORPORATIONInventors: Liu Yang, Qiang Li, Bin Wang, Xianchao Xu, Bing Niu