loadpatents
name:-0.024256944656372
name:-0.019719839096069
name:-0.0090289115905762
Sankaralingam; Karthikeyan Patent Filings

Sankaralingam; Karthikeyan

Patent Applications and Registrations

Patent applications and USPTO patent grants for Sankaralingam; Karthikeyan.The latest application filed is for "accelerating parallel processing of data in a recurrent neural network".

Company Profile
10.20.23
  • Sankaralingam; Karthikeyan - Madison WI
  • Sankaralingam, Karthikeyan - Austin TX
*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.
Patent Activity
PatentDate
Computer architecture with fixed program dataflow elements and stream processor
Grant 11,151,077 - Sankaralingam , et al. October 19, 2
2021-10-19
Systems and methods for stream-dataflow acceleration wherein a delay is implemented so as to equalize arrival times of data packets at a destination functional unit
Grant 11,048,661 - Sankaralingam , et al. June 29, 2
2021-06-29
Accelerating parallel processing of data in a recurrent neural network
Grant 11,042,797 - Sankaralingam , et al. June 22, 2
2021-06-22
Method, computer program product, and apparatus for acceleration of simultaneous access to shared data
Grant 10,963,384 - Sankaralingam , et al. March 30, 2
2021-03-30
Memory processing core architecture
Grant 10,936,536 - Sankaralingam , et al. March 2, 2
2021-03-02
Method of estimating program speed-up in highly parallel architectures using static analysis
Grant 10,754,744 - Sankaralingam , et al. A
2020-08-25
Accelerating Parallel Processing Of Data In A Recurrent Neural Network
App 20200218965 - Sankaralingam; Karthikeyan ;   et al.
2020-07-09
Method, Computer Program Product, And Apparatus For Acceleration Of Simultaneous Access To Shared Data
App 20200201690 - Sankaralingam; Karthikeyan ;   et al.
2020-06-25
Computer accelerator system using a trigger architecture memory access processor
Grant 10,591,983 - Ho , et al.
2020-03-17
Systems And Methods For Stream-dataflow Acceleration
App 20190317770 - Sankaralingam; Karthikeyan ;   et al.
2019-10-17
Memory Processing Core Architecture
App 20190258601 - Sankaralingam; Karthikeyan ;   et al.
2019-08-22
Memory processing core architecture
Grant 10,289,604 - Sankaralingam , et al.
2019-05-14
Computer with hybrid Von-Neumann/dataflow execution architecture
Grant 10,216,693 - Nowatzki , et al. Feb
2019-02-26
High-Speed, Fixed-Function, Computer Accelerator
App 20190004995 - Sankaralingam; Karthikeyan ;   et al.
2019-01-03
Reconfigurable, Application-Specific Computer Accelerator
App 20180210730 - Sankaralingam; Karthikeyan ;   et al.
2018-07-26
Computer Architecture with Synergistic Heterogeneous Processors
App 20180052693 - Sankaralingam; Karthikeyan ;   et al.
2018-02-22
Method of Estimating Program Speed-Up in Highly Parallel Architectures Using Static Analysis
App 20170270424 - Sankaralingam; Karthikeyan ;   et al.
2017-09-21
Computer processor providing exception handling with reduced state storage
Grant 9,619,233 - Menon , et al. April 11, 2
2017-04-11
CONFIGURING COARSE-GRAINED RECONFIGURABLE ARRAYS (CGRAs) FOR DATAFLOW INSTRUCTION BLOCK EXECUTION IN BLOCK-BASED DATAFLOW INSTRUCTION SET ARCHITECTURES (ISAs)
App 20170083313 - Sankaralingam; Karthikeyan ;   et al.
2017-03-23
Computer with Hybrid Von-Neumann/Dataflow Execution Architecture
App 20170031866 - Nowatzki; Anthony ;   et al.
2017-02-02
Integrated circuit providing fault prediction
Grant 9,500,705 - Balasubramanian , et al. November 22, 2
2016-11-22
Method of estimating program speed-up with highly parallel architectures
Grant 9,384,016 - Sankaralingam , et al. July 5, 2
2016-07-05
Computer system predicting memory failure
Grant 9,384,858 - Yazdanbakhsh , et al. July 5, 2
2016-07-05
Computer Processor Providing Exception Handling with Reduced State Storage
App 20160170765 - Menon; Jaikrishnan ;   et al.
2016-06-16
Computer System Predicting Memory Failure
App 20160148707 - Yazdanbakhsh; Amir ;   et al.
2016-05-26
Computer processor providing exception handling with reduced state storage
Grant 9,298,497 - Menon , et al. March 29, 2
2016-03-29
Memory Processing Core Architecture
App 20160041856 - Sankaralingam; Karthikeyan ;   et al.
2016-02-11
Computer processor providing error recovery with idempotent regions
Grant 9,244,772 - Sankaralingam , et al. January 26, 2
2016-01-26
Lookup engine with reconfigurable low latency computational tiles
Grant 9,231,865 - Sankaralingam , et al. January 5, 2
2016-01-05
Computer Accelerator System With Improved Efficiency
App 20150261528 - Ho; Chen-Han ;   et al.
2015-09-17
Method Of Estimating Program Speed-up With Highly Parallel Architectures
App 20150261536 - Sankaralingam; Karthikeyan ;   et al.
2015-09-17
Integrated Circuit Providing Fault Prediction
App 20150061707 - Balasubramanian; Raghuraman ;   et al.
2015-03-05
Lookup Engine with Reconfigurable Low Latency Computational Tiles
App 20140044135 - Sankaralingam; Karthikeyan ;   et al.
2014-02-13
Computer Processor Providing Exception Handling with Reduced State Storage
App 20140019735 - Menon; Jaikrishnan ;   et al.
2014-01-16
Computer Processor Providing Error Recovery with Idempotent Regions
App 20120284562 - Sankaralingam; Karthikeyan ;   et al.
2012-11-08
Lookup engine with programmable memory topology
Grant 7,940,755 - Estan , et al. May 10, 2
2011-05-10
Lookup Engine With Programmable Memory Topology
App 20100238942 - Estan; Cristian ;   et al.
2010-09-23
Scalable processing architecture
App 20050005084 - Burger, Douglas C. ;   et al.
2005-01-06

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.

© 2024 USPTO.report | Privacy Policy | Resources | RSS Feed of Trademarks | Trademark Filings Twitter Feed