Patents by Inventor Sara Baghsorkhi
Sara Baghsorkhi 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: 11922220Abstract: Embodiments of systems, apparatuses and methods provide enhanced function as a service (FaaS) to users, e.g., computer developers and cloud service providers (CSPs). A computing system configured to provide such enhanced FaaS service include one or more controls architectural subsystems, software and orchestration subsystems, network and storage subsystems, and security subsystems. The computing system executes functions in response to events triggered by the users in an execution environment provided by the architectural subsystems, which represent an abstraction of execution management and shield the users from the burden of managing the execution. The software and orchestration subsystems allocate computing resources for the function execution by intelligently spinning up and down containers for function code with decreased instantiation latency and increased execution scalability while maintaining secured execution.Type: GrantFiled: April 16, 2019Date of Patent: March 5, 2024Assignee: Intel CorporationInventors: Mohammad R. Haghighat, Kshitij Doshi, Andrew J. Herdrich, Anup Mohan, Ravishankar R. Iyer, Mingqiu Sun, Krishna Bhuyan, Teck Joo Goh, Mohan J. Kumar, Michael Prinke, Michael Lemay, Leeor Peled, Jr-Shian Tsai, David M. Durham, Jeffrey D. Chamberlain, Vadim A. Sukhomlinov, Eric J. Dahlen, Sara Baghsorkhi, Harshad Sane, Areg Melik-Adamyan, Ravi Sahita, Dmitry Yurievich Babokin, Ian M. Steiner, Alexander Bachmutsky, Anil Rao, Mingwei Zhang, Nilesh K. Jain, Amin Firoozshahian, Baiju V. Patel, Wenyong Huang, Yeluri Raghuram
-
Publication number: 20230289243Abstract: Systems, apparatuses and methods may provide for technology that detects a tensor operation in an application, wherein the tensor operation has an unspecified tensor input size, determines the input tensor size at runtime, and selects a partition configuration for the tensor operation based at least in part on the input tensor size and one or more runtime conditions. In one example, the technology searches a lookup table for the input tensor size and at least one of the runtime condition(s) to select the partition configuration.Type: ApplicationFiled: April 24, 2023Publication date: September 14, 2023Applicant: Intel CorporationInventors: Sara Baghsorkhi, Mohammad R. Haghighat
-
Publication number: 20230256961Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed herein that mitigate hard-braking events. An example apparatus at least one memory; instructions; and processor circuitry to execute the instructions to: determine a danger level associated with an object, the danger level indicative of a first measure of damage corresponding to a trajectory of the object compared to a trajectory of a vehicle; determine, based on the first danger level, a danger measure based on at least one of a position of the object, a velocity of the object, an acceleration of the object, a direction of travel of the object, a weight or mass of the object; and generate instructions to transmit to a steering system or a braking system of the vehicle based on the determination.Type: ApplicationFiled: February 2, 2023Publication date: August 17, 2023Inventors: Alexander Heinecke, Sara Baghsorkhi, Justin Gottschlich, Mohammad Mejbah Ul Alam, Shengtian Zhou, Jeffrey Ota
-
Patent number: 11663056Abstract: Systems, apparatuses and methods may provide for technology that detects a tensor operation in an application, wherein the tensor operation has an unspecified tensor input size, determines the input tensor size at runtime, and selects a partition configuration for the tensor operation based at least in part on the input tensor size and one or more runtime conditions. In one example, the technology searches a lookup table for the input tensor size and at least one of the runtime condition(s) to select the partition configuration.Type: GrantFiled: December 20, 2019Date of Patent: May 30, 2023Assignee: Intel CorporationInventors: Sara Baghsorkhi, Mohammad R. Haghighat
-
Patent number: 11590968Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed herein that mitigate hard-braking events. An example apparatus includes a world generator to generate a deep learning model to identify and categorize an object in a proximity of a vehicle, a data analyzer to determine a danger level associated with the object, the danger level indicative of a likelihood of a collision between the vehicle and the object, a vehicle response determiner to determine, based on the danger level, a response of the vehicle to avoid a collision with the object, and an instruction generator to transmit instructions to a steering system or a braking system of the vehicle based on the determined vehicle response.Type: GrantFiled: March 29, 2019Date of Patent: February 28, 2023Assignee: INTEL CORPORATIONInventors: Alexander Heinecke, Sara Baghsorkhi, Justin Gottschlich, Mohammad Mejbah Ul Alam, Shengtian Zhou, Jeffrey Ota
-
Patent number: 11520501Abstract: Systems, apparatuses and methods may provide for technology that identifies a prioritization data structure associated with a function, wherein the prioritization data structure lists hardware resource types in priority order. The technology may also allocate a first type of hardware resource to the function if the first type of hardware resource is available, wherein the first type of hardware resource has a highest priority in the prioritization data structure. Additionally, the technology may allocate, in the priority order, a second type of hardware resource to the function if the first type of hardware resource is not available.Type: GrantFiled: December 20, 2019Date of Patent: December 6, 2022Assignee: Intel CorporationInventors: Mohammad R. Haghighat, Sara Baghsorkhi
-
Patent number: 11520331Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that provide an apparatus to analyze vehicle perspectives, the apparatus comprising a profile generator to generate a first profile of an environment based on a profile template and first data generated by a first vehicle; a data analyzer to: determine a difference between the first profile and a second profile obtained from a first one of one or more nodes in the environment; and in response to a trigger event, update the first profile based on the difference; and a vehicle control system to: in response to the trigger event, update a first perspective of the environment based on one or more of second data from the first one of the one or more nodes or the updated first profile; update a path plan for the first vehicle based on the updated first perspective; and execute the updated path plan.Type: GrantFiled: December 28, 2018Date of Patent: December 6, 2022Assignee: Intel CorporationInventors: Sara Baghsorkhi, Justin Gottschlich, Alexander Heinecke, Mohammad Mejbah Ul Alam, Shengtian Zhou, Sridhar Sharma, Patrick Andrew Mead, Ignacio Alvarez, David Gonzalez Aguirre, Kathiravetpillai Sivanesan, Jeffrey Ota, Jason Martin, Liuyang Lily Yang
-
Patent number: 11429849Abstract: An embodiment of a semiconductor package apparatus may include technology to apply a low rank factorization to a weight matrix of a decision network to determine a first weight matrix approximation, reshape the first weight matrix approximation into a second weight matrix approximation, and compress the decision network based on the second weight matrix approximation. Other embodiments are disclosed and claimed.Type: GrantFiled: May 11, 2018Date of Patent: August 30, 2022Assignee: Intel CorporationInventors: Sara Baghsorkhi, Matthew Sotoudeh
-
Publication number: 20210406016Abstract: Embodiments for gathering and scattering matrix data by row are disclosed. In an embodiment, a processor includes a storage matrix, a decoder, and execution circuitry. The decoder is to decode an instruction having a format including an opcode field to specify an opcode and a first operand field to specify a set of irregularly spaced memory locations. The execution circuitry is to, in response to the decoded instruction, calculate a set of addresses corresponding to the set of irregularly spaced memory locations and transfer a set of rows of data between the storage and the set of irregularly spaced memory locations.Type: ApplicationFiled: June 27, 2020Publication date: December 30, 2021Applicant: Intel CorporationInventors: Christopher J. Hughes, Alexander F. Heinecke, Robert Valentine, Menachem Adelman, Evangelos Georganas, Mark J. Charney, Nikita A. Shustrov, Sara Baghsorkhi
-
Publication number: 20210263779Abstract: Embodiments of systems, apparatuses and methods provide enhanced function as a service (FaaS) to users, e.g., computer developers and cloud service providers (CSPs). A computing system configured to provide such enhanced FaaS service include one or more controls architectural subsystems, software and orchestration subsystems, network and storage subsystems, and security subsystems. The computing system executes functions in response to events triggered by the users in an execution environment provided by the architectural subsystems, which represent an abstraction of execution management and shield the users from the burden of managing the execution. The software and orchestration subsystems allocate computing resources for the function execution by intelligently spinning up and down containers for function code with decreased instantiation latency and increased execution scalability while maintaining secured execution.Type: ApplicationFiled: April 16, 2019Publication date: August 26, 2021Applicant: Intel CorporationInventors: Mohammad R. Haghighat, Kshitij Doshi, Andrew J. Herdrich, Anup Mohan, Ravishankar R. Iyer, Mingqiu Sun, Krishna Bhuyan, Teck Joo Goh, Mohan J. Kumar, Michael Prinke, Michael Lemay, Leeor Peled, Jr-Shian Tsai, David M. Durham, Jeffrey D. Chamberlain, Vadim A. Sukhomlinov, Eric J. Dahlen, Sara Baghsorkhi, Harshad Sane, Areg Melik-Adamyan, Ravi Sahita, Dmitry Yurievich Babokin, Ian M. Steiner, Alexander Bachmutsky, Anil Rao, Mingwei Zhang, Nilesh K. Jain, Amin Firoozshahian, Baiju V. Patel, Wenyong Huang, Yeluri Raghuram
-
Patent number: 10802942Abstract: An apparatus includes a data interface to obtain first sensor data from a first sensor and second sensor data from a second sensor of a monitored system; a data analyzer to extract a feature based on analyzing the first and second sensor data using a model, the model trained based on historical sensor data, the model to determine the feature as a deviation between the first and second sensor data to predict a future malfunction of the monitored system; an anomaly detector to detect an anomaly in at least one of the first sensor data or the second sensor data based on the feature, the anomaly corresponding to the future malfunction of the monitored system; and a system applicator to modify operation of the monitored system based on the anomaly.Type: GrantFiled: December 28, 2018Date of Patent: October 13, 2020Assignee: Intel CorporationInventors: Mats Agerstam, Bahareh Sadeghi, Jason Martin, Jeffrey Ota, Justin Gottschlich, Marcos Carranza, Maria Ramirez Loaiza, Alexander Heinecke, Mohammad Mejbah Ul Alam, Robert Colby, Sara Baghsorkhi, Shengtian Zhou
-
Publication number: 20200133743Abstract: Systems, apparatuses and methods may provide for technology that detects a tensor operation in an application, wherein the tensor operation has an unspecified tensor input size, determines the input tensor size at runtime, and selects a partition configuration for the tensor operation based at least in part on the input tensor size and one or more runtime conditions. In one example, the technology searches a lookup table for the input tensor size and at least one of the runtime condition(s) to select the partition configuration.Type: ApplicationFiled: December 20, 2019Publication date: April 30, 2020Inventors: Sara Baghsorkhi, Mohammad R. Haghighat
-
Publication number: 20200133537Abstract: Systems, apparatuses and methods may provide for technology that identifies a prioritization data structure associated with a function, wherein the prioritization data structure lists hardware resource types in priority order. The technology may also allocate a first type of hardware resource to the function if the first type of hardware resource is available, wherein the first type of hardware resource has a highest priority in the prioritization data structure. Additionally, the technology may allocate, in the priority order, a second type of hardware resource to the function if the first type of hardware resource is not available.Type: ApplicationFiled: December 20, 2019Publication date: April 30, 2020Inventors: Mohammad R. Haghighat, Sara Baghsorkhi
-
Publication number: 20200137163Abstract: Systems, apparatuses and methods may provide for technology that detects a generic cloud service call in an application, wherein platform-specific parameters are unspecified in the cloud service call. The technology may also select a first cloud platform based on one or more performance constraints associated with the first cloud platform and automatically generate a first platform-specific service call based on the cloud service call and the first set of parameters. In one example, the technology also maps the cloud service call to the first platform-specific service call. Additionally, the technology may migrate the cloud service call to a second cloud platform without rewriting the generic cloud service call.Type: ApplicationFiled: December 20, 2019Publication date: April 30, 2020Inventors: Sara Baghsorkhi, Mohammad R. Haghighat
-
Patent number: 10372450Abstract: Embodiments of systems, apparatuses, and methods for performing in a computer processor generation of a predicate mask based on vector comparison in response to a single instruction are described.Type: GrantFiled: July 11, 2017Date of Patent: August 6, 2019Assignee: Intel CorporationInventors: Victor W. Lee, Daehyun Kim, Tin-Fook Ngai, Jayashankar Bharadwaj, Albert Hartono, Sara Baghsorkhi, Nalini Vasudevan
-
Publication number: 20190225213Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed herein that mitigate hard-braking events. An example apparatus includes a world generator to generate a deep learning model to identify and categorize an object in a proximity of a vehicle, a data analyzer to determine a danger level associated with the object, the danger level indicative of a likelihood of a collision between the vehicle and the object, a vehicle response determiner to determine, based on the danger level, a response of the vehicle to avoid a collision with the object, and an instruction generator to transmit instructions to a steering system or a braking system of the vehicle based on the determined vehicle response.Type: ApplicationFiled: March 29, 2019Publication date: July 25, 2019Inventors: Alexander Heinecke, Sara Baghsorkhi, Justin Gottschlich, Mohammad Mejbah Ul Alam, Shengtian Zhou, Jeffrey Ota
-
Publication number: 20190138007Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that provide an apparatus to analyze vehicle perspectives, the apparatus comprising a profile generator to generate a first profile of an environment based on a profile template and first data generated by a first vehicle; a data analyzer to: determine a difference between the first profile and a second profile obtained from a first one of one or more nodes in the environment; and in response to a trigger event, update the first profile based on the difference; and a vehicle control system to: in response to the trigger event, update a first perspective of the environment based on one or more of second data from the first one of the one or more nodes or the updated first profile; update a path plan for the first vehicle based on the updated first perspective; and execute the updated path plan.Type: ApplicationFiled: December 28, 2018Publication date: May 9, 2019Inventors: Sara Baghsorkhi, Justin Gottschlich, Alexander Heinecke, Mohammad Mejbah Ul Alam, Shengtian Zhou, Sridhar Sharma, Patrick Andrew Mead, Ignacio Alvarez, David Gonzalez Aguirre, Kathiravetpillai Sivanesan, Jeffrey Ota, Jason Martin, Liuyang Lily Yang
-
Publication number: 20190138423Abstract: An apparatus includes a data interface to obtain first sensor data from a first sensor and second sensor data from a second sensor of a monitored system; a data analyzer to extract a feature based on analyzing the first and second sensor data using a model, the model trained based on historical sensor data, the model to determine the feature as a deviation between the first and second sensor data to predict a future malfunction of the monitored system; an anomaly detector to detect an anomaly in at least one of the first sensor data or the second sensor data based on the feature, the anomaly corresponding to the future malfunction of the monitored system; and a system applicator to modify operation of the monitored system based on the anomaly.Type: ApplicationFiled: December 28, 2018Publication date: May 9, 2019Inventors: Mats Agerstam, Bahareh Sadeghi, Jason Martin, Jeffrey Ota, Justin Gottschlich, Marcos Carranza, Maria Ramirez Loaiza, Alexander Heinecke, Mohammad Mejbah Ul Alam, Robert Colby, Sara Baghsorkhi, Shengtian Zhou
-
Patent number: 10248422Abstract: Systems, methods, and apparatuses for executing an instruction are described. In some embodiments, a decoder circuit decodes an instruction, wherein the instruction to include at least an opcode, a field for source operand, and a field for a destination operand. Execution circuitry executes the decoded instruction to determine if a tag from the address from the source operand matches a tag in a selected non-volatile memory address cache (NVMAC) cache line, wherein when there is a match a hit indication is stored in the destination operand, and when there is not a match, a no hit indication is stored in the destination operand and the NVMAC is updated with the tag from the address from the source operand.Type: GrantFiled: July 2, 2016Date of Patent: April 2, 2019Assignee: Intel CorporationInventor: Sara Baghsorkhi
-
Publication number: 20190042926Abstract: An embodiment of a semiconductor package apparatus may include technology to apply a low rank factorization to a weight matrix of a decision network to determine a first weight matrix approximation, reshape the first weight matrix approximation into a second weight matrix approximation, and compress the decision network based on the second weight matrix approximation. Other embodiments are disclosed and claimed.Type: ApplicationFiled: May 11, 2018Publication date: February 7, 2019Applicant: Intel CorporationInventors: Sara Baghsorkhi, Matthew Sotoudeh