Patents by Inventor Dipan Kumar Mandal
Dipan Kumar Mandal 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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Publication number: 20230297383Abstract: This disclosure is directed to the problem of paralleling random read access within a reasonably sized block of data for a vector SIMD processor. The invention sets up plural parallel look up tables, moves data from main memory to each plural parallel look up table and then employs a look up table read instruction to simultaneously move data from each parallel look up table to a corresponding part a vector destination register. This enables data processing by vector single instruction multiple data (SIMD) operations. This vector destination register load can be repeated if the tables store more used data. New data can be loaded into the original tables if appropriate. A level one memory is preferably partitioned as part data cache and part directly addressable memory. The look up table memory is stored in the directly addressable memory.Type: ApplicationFiled: May 22, 2023Publication date: September 21, 2023Inventors: Jayasree Sankaranarayanan, Dipan Kumar Mandal
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Patent number: 11669330Abstract: This disclosure is directed to the problem of paralleling random read access within a reasonably sized block of data for a vector SIMD processor. The invention sets up plural parallel look up tables, moves data from main memory to each plural parallel look up table and then employs a look up table read instruction to simultaneously move data from each parallel look up table to a corresponding part a vector destination register. This enables data processing by vector single instruction multiple data (SIMD) operations. This vector destination register load can be repeated if the tables store more used data. New data can be loaded into the original tables if appropriate. A level one memory is preferably partitioned as part data cache and part directly addressable memory. The look up table memory is stored in the directly addressable memory.Type: GrantFiled: May 3, 2021Date of Patent: June 6, 2023Assignee: Texas Instruments IncorporatedInventors: Jayasree Sankaranarayanan, Dipan Kumar Mandal
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Publication number: 20220408106Abstract: A video hardware engine which support dynamic frame padding is disclosed. The video hardware engine includes an external memory. The external memory stores a reference frame. The reference frame includes a plurality of reference pixels. A motion estimation (ME) engine receives a current LCU (largest coding unit), and defines a search area around the current LCU for motion estimation. The ME engine receives a set of reference pixels corresponding to the current LCU. The set of reference pixels of the plurality of reference pixels are received from the external memory. The ME engine pads a set of duplicate pixels along an edge of the reference frame when a part area of the search area is outside the reference frame.Type: ApplicationFiled: August 23, 2022Publication date: December 22, 2022Inventors: Hetul Sanghvi, Mihir Narendra Mody, Niraj Nandan, Mahesh Madhukar Mehendale, Subrangshu Das, Dipan Kumar Mandal, Nainala Vyagrheswarudu, Vijayavardhan Baireddy, Pavan Venkata Shastry
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Patent number: 11445207Abstract: A video hardware engine which support dynamic frame padding is disclosed. The video hardware engine includes an external memory. The external memory stores a reference frame. The reference frame includes a plurality of reference pixels. A motion estimation (ME) engine receives a current LCU (largest coding unit), and defines a search area around the current LCU for motion estimation. The ME engine receives a set of reference pixels corresponding to the current LCU. The set of reference pixels of the plurality of reference pixels are received from the external memory. The ME engine pads a set of duplicate pixels along an edge of the reference frame when a part area of the search area is outside the reference frame.Type: GrantFiled: December 16, 2019Date of Patent: September 13, 2022Assignee: TEXAS INSTRUMENTS INCORPORATEDInventors: Hetul Sanghvi, Mihir Narendra Mody, Niraj Nandan, Mahesh Madhukar Mehendale, Subrangshu Das, Dipan Kumar Mandal, Nainala Vyagrheswarudu, Vijayavardhan Baireddy, Pavan Venkata Shastry
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Publication number: 20220196798Abstract: According to various embodiments, a radar device is described comprising a processor configured to generate a scene comprising an object based on a plurality of receive wireless signals, generate a ground truth object parameter of the object and generate a dataset representative of the scene and a radar detector configured to determine an object parameter of the object using a machine learning algorithm and the dataset, determine an error value of the machine learning algorithm using a cost function, the object parameter, and the ground truth object parameter and adjust the machine learning algorithm values to reduce the error value.Type: ApplicationFiled: July 14, 2021Publication date: June 23, 2022Inventors: Chulong CHEN, Wenling Margaret HUANG, Saiveena KESARAJU, Ivan SIMÕES GASPAR, Pradyumna S. SINGH, Biji GEORGE, Dipan Kumar MANDAL, Om Ji OMER, Sreenivas SUBRAMONEY, Yuval AMIZUR, Leor BANIN, Hao CHEN, Nir DVORECKI, Shengbo XU
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Patent number: 11347828Abstract: A disclosed apparatus to multiply matrices includes a compute engine. The compute engine includes multipliers in a two dimensional array that has a plurality of array locations defined by columns and rows. The apparatus also includes a plurality of adders in columns. A broadcast interconnect between a cache and the multipliers broadcasts a first set of operand data elements to multipliers in the rows of the array. A unicast interconnect unicasts a second set of operands between a data buffer and the multipliers. The multipliers multiply the operands to generate a plurality of outputs, and the adders add the outputs generated by the multipliers.Type: GrantFiled: March 27, 2020Date of Patent: May 31, 2022Assignee: Intel CorporationInventors: Biji George, Om Ji Omer, Dipan Kumar Mandal, Cormac Brick, Lance Hacking, Sreenivas Subramoney, Belliappa Kuttanna
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Patent number: 11238309Abstract: An example apparatus for selecting keypoints in image includes a keypoint detector to detect keypoints in a plurality of received images. The apparatus also includes a score calculator to calculate a keypoint score for each of the detected keypoints based on a descriptor score indicating descriptor invariance. The apparatus includes a keypoint selector to select keypoints based on the calculated keypoint scores. The apparatus also further includes a descriptor calculator to calculate descriptors for each of the selected keypoints. The apparatus also includes a descriptor matcher to match corresponding descriptors between images in the plurality of received images. The apparatus further also includes a feature tracker to track a feature in the plurality of images based on the matched descriptors.Type: GrantFiled: December 26, 2018Date of Patent: February 1, 2022Assignee: Intel CorporationInventors: Dipan Kumar Mandal, Gurpreet Kalsi, Om J Omer, Prashant Laddha, Sreenivas Subramoney
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Patent number: 11189000Abstract: An embodiment of an image processor device includes technology to fetch a feature point data set from outside a local memory, locally store three or more fetched feature point data sets in the local memory, compute orientation information for each fetched feature point data set, compute first descriptor information based on the computed orientation information and a first locally stored feature point data set in parallel with a fetch and local store of a second feature point data set in the local memory, and compute second descriptor information based on the computed orientation information and the second locally stored feature point data set in parallel with the compute of the first descriptor information. Other embodiments are disclosed and claimed.Type: GrantFiled: June 24, 2019Date of Patent: November 30, 2021Assignee: Intel CorporationInventors: Gopi Neela, Dipan Kumar Mandal, Gurpreet S. Kalsi, Prashant Laddha, Om J. Omer, Anirud Thyagharajan, Srivatsava Jandhyala
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Publication number: 20210358135Abstract: An example apparatus for tracking features in image data includes an image data receiver to receive initial image data corresponding to an image from a camera and store the image data a circular buffer. The apparatus also includes a feature detector to detect features in the image data. The apparatus further includes a feature sorter to sort the detected features to generate sorted feature points. The apparatus includes a feature tracker to track the sorted feature points in subsequent image data corresponding to the image received at the image data receiver. The subsequent image data is to replace the initial image data in the circular buffer.Type: ApplicationFiled: July 28, 2021Publication date: November 18, 2021Inventors: Dipan Kumar Mandal, Nagadastagiri Reddy C, Mahesh Mamidipaka, Om J Omer
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Publication number: 20210255869Abstract: This disclosure is directed to the problem of paralleling random read access within a reasonably sized block of data for a vector SIMD processor. The invention sets up plural parallel look up tables, moves data from main memory to each plural parallel look up table and then employs a look up table read instruction to simultaneously move data from each parallel look up table to a corresponding part a vector destination register. This enables data processing by vector single instruction multiple data (SIMD) operations. This vector destination register load can be repeated if the tables store more used data. New data can be loaded into the original tables if appropriate. A level one memory is preferably partitioned as part data cache and part directly addressable memory. The look up table memory is stored in the directly addressable memory.Type: ApplicationFiled: May 3, 2021Publication date: August 19, 2021Inventors: Jayasree Sankaranarayanan, Dipan Kumar Mandal
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Patent number: 11080864Abstract: An example apparatus for tracking features in image data includes an image data receiver to receive initial image data corresponding to an image from a camera and store the image data a circular buffer. The apparatus also includes a feature detector to detect features in the image data. The apparatus further includes a feature sorter to sort the detected features to generate sorted feature points. The apparatus includes a feature tracker to track the sorted feature points in subsequent image data corresponding to the image received at the image data receiver. The subsequent image data is to replace the initial image data in the circular buffer.Type: GrantFiled: January 8, 2018Date of Patent: August 3, 2021Assignee: Intel CorporationInventors: Dipan Kumar Mandal, Nagadastagiri Reddy C, Mahesh Mamidipaka, Om J Omer
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Patent number: 10996955Abstract: This disclosure is directed to the problem of paralleling random read access within a reasonably sized block of data for a vector SIMD processor. The invention sets up plural parallel look up tables, moves data from main memory to each plural parallel look up table and then employs a look up table read instruction to simultaneously move data from each parallel look up table to a corresponding part a vector destination register. This enables data processing by vector single instruction multiple data (SIMD) operations. This vector destination register load can be repeated if the tables store more used data. New data can be loaded into the original tables if appropriate. A level one memory is preferably partitioned as part data cache and part directly addressable memory. The look up table memory is stored in the directly addressable memory.Type: GrantFiled: June 25, 2019Date of Patent: May 4, 2021Assignee: Texas Instruments IncorporatedInventors: Jayasree Sankaranarayanan, Dipan Kumar Mandal
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Publication number: 20200226203Abstract: A disclosed apparatus to multiply matrices includes a compute engine. The compute engine includes multipliers in a two dimensional array that has a plurality of array locations defined by columns and rows. The apparatus also includes a plurality of adders in columns. A broadcast interconnect between a cache and the multipliers broadcasts a first set of operand data elements to multipliers in the rows of the array. A unicast interconnect unicasts a second set of operands between a data buffer and the multipliers. The multipliers multiply the operands to generate a plurality of outputs, and the adders add the outputs generated by the multipliers.Type: ApplicationFiled: March 27, 2020Publication date: July 16, 2020Inventors: Biji George, Om Ji Omer, Dipan Kumar Mandal, Cormac Brick, Lance Hacking, Sreenivas Subramoney, Belliappa Kuttanna
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Publication number: 20200120351Abstract: A video hardware engine which support dynamic frame padding is disclosed. The video hardware engine includes an external memory. The external memory stores a reference frame. The reference frame includes a plurality of reference pixels. A motion estimation (ME) engine receives a current LCU (largest coding unit), and defines a search area around the current LCU for motion estimation. The ME engine receives a set of reference pixels corresponding to the current LCU. The set of reference pixels of the plurality of reference pixels are received from the external memory. The ME engine pads a set of duplicate pixels along an edge of the reference frame when a part area of the search area is outside the reference frame.Type: ApplicationFiled: December 16, 2019Publication date: April 16, 2020Inventors: Hetul Sanghvi, Mihir Narendra Mody, Niraj Nandan, Mahesh Madhukar Mehendale, Subrangshu Das, Dipan Kumar Mandal, Nainala Vyagrheswarudu, Vijayavardhan Baireddy, Pavan Venkata Shastry
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Publication number: 20200058133Abstract: Disclosed techniques relate to forming a block sum of picture elements employing a vector dot product instruction to sum packed picture elements and the mask producing a vector of masked horizontal picture element. The block sum is formed from plural horizontal sums via vector single instruction multiple data (SIMD) addition.Type: ApplicationFiled: August 27, 2019Publication date: February 20, 2020Inventors: Jayasree SANKARANARAYANAN, Dipan Kumar MANDAL
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Patent number: 10547859Abstract: A video hardware engine which support dynamic frame padding is disclosed. The video hardware engine includes an external memory. The external memory stores a reference frame. The reference frame includes a plurality of reference pixels. A motion estimation (ME) engine receives a current LCU (largest coding unit), and defines a search area around the current LCU for motion estimation. The ME engine receives a set of reference pixels corresponding to the current LCU. The set of reference pixels of the plurality of reference pixels are received from the external memory. The ME engine pads a set of duplicate pixels along an edge of the reference frame when a part area of the search area is outside the reference frame.Type: GrantFiled: July 19, 2017Date of Patent: January 28, 2020Assignee: TEXAS INSTRUMENTS INCORPORATEDInventors: Hetul Sanghvi, Mihir Narendra Mody, Niraj Nandan, Mahesh Madhukar Mehendale, Subrangshu Das, Dipan Kumar Mandal, Nainala Vyagrheswarudu, Vijayavardhan Baireddy, Pavan Venkata Shastry
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Patent number: 10540420Abstract: Systems and methods for a hardware accelerated matrix decomposition matrix decomposition circuit are described herein. This matrix decomposition circuit splits matrix decomposition operations into parallel operation circuits and serial operation circuits, and joins the parallel and serial operation circuits using specific dependency handling logic for efficient parallel execution. This provides fast matrix decomposition with low power consumption, reduced memory footprint, and reduced memory bandwidth.Type: GrantFiled: December 29, 2017Date of Patent: January 21, 2020Assignee: Intel CorporationInventors: Gurpreet Singh Kalsi, Om Ji Omer, Santhosh Kumar Rethinagiri, Anish N K, Dipan Kumar Mandal
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Publication number: 20190377578Abstract: This disclosure is directed to the problem of paralleling random read access within a reasonably sized block of data for a vector SIMD processor. The invention sets up plural parallel look up tables, moves data from main memory to each plural parallel look up table and then employs a look up table read instruction to simultaneously move data from each parallel look up table to a corresponding part a vector destination register. This enables data processing by vector single instruction multiple data (SIMD) operations. This vector destination register load can be repeated if the tables store more used data. New data can be loaded into the original tables if appropriate. A level one memory is preferably partitioned as part data cache and part directly addressable memory. The look up table memory is stored in the directly addressable memory.Type: ApplicationFiled: June 25, 2019Publication date: December 12, 2019Inventors: Jayasree Sankaranarayanan, Dipan Kumar Mandal
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Publication number: 20190333183Abstract: An embodiment of an image processor device includes technology to fetch a feature point data set from outside a local memory, locally store three or more fetched feature point data sets in the local memory, compute orientation information for each fetched feature point data set, compute first descriptor information based on the computed orientation information and a first locally stored feature point data set in parallel with a fetch and local store of a second feature point data set in the local memory, and compute second descriptor information based on the computed orientation information and the second locally stored feature point data set in parallel with the compute of the first descriptor information. Other embodiments are disclosed and claimed.Type: ApplicationFiled: June 24, 2019Publication date: October 31, 2019Applicant: Intel CorporationInventors: Gopi Neela, Dipan Kumar Mandal, Gurpreet S. Kalsi, Prashant Laddha, Om J. Omer, Anirud Thyagharajan, Srivatsava Jandhyala
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Patent number: 10397591Abstract: A control processor for a video encode-decode engine is provided that includes an instruction pipeline. The instruction pipeline includes an instruction fetch stage coupled to an instruction memory to fetch instructions, an instruction decoding stage coupled to the instruction fetch stage to receive the fetched instructions, and an execution stage coupled to the instruction decoding stage to receive and execute decoded instructions. The instruction decoding stage and the instruction execution stage are configured to decode and execute a set of instructions in an instruction set of the control processor that are designed specifically for accelerating video sequence encoding and encoded video bit stream decoding.Type: GrantFiled: April 11, 2015Date of Patent: August 27, 2019Assignee: TEXAS INSTRUMENTS INCORPORATEDInventors: Dipan Kumar Mandal, Mihir Narendra Mody, Mahesh Madhukar Mehendale, Chaitanya Satish Ghone, Piyali Goswami, Naresh Kumar Yadav, Hetul Sanghvi, Niraj Nandan