Patents by Inventor Jeffrey J. Cook

Jeffrey J. Cook 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: 11957329
    Abstract: Retractor assemblies and methods of using them to retract tissue. A retractor assembly as described herein may include first and second arms pivotally coupled and each arm formed of a plurality of stacked and separated plates, spaced to define a gap therebetween, providing strength while affording a reduction in weight of the retractor assembly. The retractor assembly may also include a ratcheting locking mechanism.
    Type: Grant
    Filed: January 3, 2022
    Date of Patent: April 16, 2024
    Assignee: Simple Innovative Solutions, LLC
    Inventors: Jeffrey L. Sutliff, Kris J. Cook
  • Publication number: 20230418655
    Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.
    Type: Application
    Filed: June 9, 2023
    Publication date: December 28, 2023
    Inventors: Rajesh M. SANKARAN, Gilbert NEIGER, Narayan RANGANATHAN, Stephen R. VAN DOREN, Joseph NUZMAN, Niall D. MCDONNELL, Michael A. O'HANLON, Lokpraveen B. MOSUR, Tracy Garrett DRYSDALE, Eriko NURVITADHI, Asit K. MISHRA, Ganesh VENKATESH, Deborah T. MARR, Nicholas P. CARTER, Jonathan D. PEARCE, Edward T. GROCHOWSKI, Richard J. GRECO, Robert VALENTINE, Jesus CORBAL, Thomas D. FLETCHER, Dennis R. BRADFORD, Dwight P. MANLEY, Mark J. CHARNEY, Jeffrey J. COOK, Paul CAPRIOLI, Koichi YAMADA, Kent D. GLOSSOP, David B. SHEFFIELD
  • Patent number: 11693691
    Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.
    Type: Grant
    Filed: July 21, 2021
    Date of Patent: July 4, 2023
    Assignee: Intel Corporation
    Inventors: Rajesh M. Sankaran, Gilbert Neiger, Narayan Ranganathan, Stephen R. Van Doren, Joseph Nuzman, Niall D. McDonnell, Michael A. O'Hanlon, Lokpraveen B. Mosur, Tracy Garrett Drysdale, Eriko Nurvitadhi, Asit K. Mishra, Ganesh Venkatesh, Deborah T. Marr, Nicholas P. Carter, Jonathan D. Pearce, Edward T. Grochowski, Richard J. Greco, Robert Valentine, Jesus Corbal, Thomas D. Fletcher, Dennis R. Bradford, Dwight P. Manley, Mark J. Charney, Jeffrey J. Cook, Paul Caprioli, Koichi Yamada, Kent D. Glossop, David B. Sheffield
  • Patent number: 11416281
    Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.
    Type: Grant
    Filed: December 31, 2016
    Date of Patent: August 16, 2022
    Assignee: Intel Corporation
    Inventors: Rajesh M. Sankaran, Gilbert Neiger, Narayan Ranganathan, Stephen R. Van Doren, Joseph Nuzman, Niall D. McDonnell, Michael A. O'Hanlon, Lokpraveen B. Mosur, Tracy Garrett Drysdale, Eriko Nurvitadhi, Asit K. Mishra, Ganesh Venkatesh, Deborah T. Marr, Nicholas P. Carter, Jonathan D. Pearce, Edward T. Grochowski, Richard J. Greco, Robert Valentine, Jesus Corbal, Thomas D. Fletcher, Dennis R. Bradford, Dwight P. Manley, Mark J. Charney, Jeffrey J. Cook, Paul Caprioli, Koichi Yamada, Kent D. Glossop, David B. Sheffield
  • Publication number: 20220164218
    Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.
    Type: Application
    Filed: July 21, 2021
    Publication date: May 26, 2022
    Inventors: Rajesh M. SANKARAN, Gilbert NEIGER, Narayan RANGANATHAN, Stephen R. VAN DOREN, Joseph NUZMAN, Niall D. MCDONNELL, Michael A. O'HANLON, Lokpraveen B. MOSUR, Tracy Garrett DRYSDALE, Eriko NURVITADHI, Asit K. MISHRA, Ganesh VENKATESH, Deborah T. MARR, Nicholas P. CARTER, Jonathan D. PEARCE, Edward T. GROCHOWSKI, Richard J. GRECO, Robert VALENTINE, Jesus CORBAL, Thomas D. FLETCHER, Dennis R. BRADFORD, Dwight P. MANLEY, Mark J. CHARNEY, Jeffrey J. COOK, Paul CAPRIOLI, Koichi YAMADA, Kent D. GLOSSOP, David B. SHEFFIELD
  • Patent number: 11188341
    Abstract: In one embodiment, an apparatus includes: a plurality of execution lanes to perform parallel execution of instructions; and a unified symbolic store address buffer coupled to the plurality of execution lanes, the unified symbolic store address buffer comprising a plurality of entries each to store a symbolic store address for a store instruction to be executed by at least some of the plurality of execution lanes. Other embodiments are described and claimed.
    Type: Grant
    Filed: March 26, 2019
    Date of Patent: November 30, 2021
    Assignee: Intel Corporation
    Inventors: Jeffrey J. Cook, Srikanth T. Srinivasan, Jonathan D. Pearce, David B. Sheffield
  • Patent number: 11093277
    Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.
    Type: Grant
    Filed: June 26, 2020
    Date of Patent: August 17, 2021
    Assignee: Intel Corporation
    Inventors: Rajesh M. Sankaran, Gilbert Neiger, Narayan Ranganathan, Stephen R. Van Doren, Joseph Nuzman, Niall D. McDonnell, Michael A. O'Hanlon, Lokpraveen B. Mosur, Tracy Garrett Drysdale, Eriko Nurvitadhi, Asit K. Mishra, Ganesh Venkatesh, Deborah T. Marr, Nicholas P. Carter, Jonathan D. Pearce, Edward T. Grochowski, Richard J. Greco, Robert Valentine, Jesus Corbal, Thomas D. Fletcher, Dennis R. Bradford, Dwight P. Manley, Mark J. Charney, Jeffrey J. Cook, Paul Caprioli, Koichi Yamada, Kent D. Glossop, David B. Sheffield
  • Patent number: 10983773
    Abstract: Technologies for optimized binary translation include a computing device that determines a cost-benefit metric associated with each translated code block of a translation cache. The cost-benefit metric is indicative of translation cost and performance benefit associated with the translated code block. The translation cost may be determined by measuring translation time of the translated code block. The cost-benefit metric may be calculated using a weighted cost-benefit function based on an expected workload of the computing device. In response to determining to free space in the translation cache, the computing device determines whether to discard each translated code block as a function of the cost-benefit metric. In response to determining to free space in the translation cache, the computing device may increment an iteration count and skip each translated code block if the iteration count modulo the corresponding cost-benefit metric is non-zero. Other embodiments are described and claimed.
    Type: Grant
    Filed: April 9, 2019
    Date of Patent: April 20, 2021
    Assignee: Intel Corporation
    Inventors: Paul Caprioli, Jeffrey J. Cook
  • Patent number: 10896141
    Abstract: In one embodiment, a cache memory includes: a plurality of data banks, each of the plurality of data banks having a plurality of entries each to store a portion of a cache line distributed across the plurality of data banks; and a plurality of tag banks decoupled from the plurality of data banks, wherein a tag for a cache line is to be assigned to one of the plurality of tag banks. Other embodiments are described and claimed.
    Type: Grant
    Filed: March 26, 2019
    Date of Patent: January 19, 2021
    Assignee: Intel Corporation
    Inventors: Jeffrey J. Cook, Jonathan D. Pearce, Srikanth T. Srinivasan, Rishiraj A. Bheda, David B. Sheffield, Abhijit Davare, Anton Alexandrovich Sorokin
  • Publication number: 20200401440
    Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.
    Type: Application
    Filed: June 26, 2020
    Publication date: December 24, 2020
    Inventors: Rajesh M. SANKARAN, Gilbert NEIGER, Narayan RANGANATHAN, Stephen R. VAN DOREN, Joseph NUZMAN, Niall D. MCDONNELL, Michael A. O'HANLON, Lokpraveen B. MOSUR, Tracy Garrett DRYSDALE, Eriko NURVITADHI, Asit K. MISHRA, Ganesh VENKATESH, Deborah T. MARR, Nicholas P. CARTER, Jonathan D. PEARCE, Edward T. GROCHOWSKI, Richard J. GRECO, Robert VALENTINE, Jesus CORBAL, Thomas D. FLETCHER, Dennis R. BRADFORD, Dwight P. MANLEY, Mark J. CHARNEY, Jeffrey J. COOK, Paul CAPRIOLI, Koichi YAMADA, Kent D. GLOSSOP, David B. SHEFFIELD
  • Publication number: 20200310817
    Abstract: In one embodiment, an apparatus includes: a plurality of execution lanes to perform parallel execution of instructions; and a unified symbolic store address buffer coupled to the plurality of execution lanes, the unified symbolic store address buffer comprising a plurality of entries each to store a symbolic store address for a store instruction to be executed by at least some of the plurality of execution lanes. Other embodiments are described and claimed.
    Type: Application
    Filed: March 26, 2019
    Publication date: October 1, 2020
    Inventors: Jeffrey J. Cook, Srikanth T. Srinivasan, Jonathan D. Pearce, David B. Sheffield
  • Publication number: 20200310992
    Abstract: In one embodiment, a cache memory includes: a plurality of data banks, each of the plurality of data banks having a plurality of entries each to store a portion of a cache line distributed across the plurality of data banks; and a plurality of tag banks decoupled from the plurality of data banks, wherein a tag for a cache line is to be assigned to one of the plurality of tag banks. Other embodiments are described and claimed.
    Type: Application
    Filed: March 26, 2019
    Publication date: October 1, 2020
    Inventors: Jeffrey J. Cook, Jonathan D. Pearce, Srikanth T. Srinivasan, Rishiraj A. Bheda, David B. Sheffield, Abhijit Davare, Anton Alexandrovich Sorokin
  • Patent number: 10725755
    Abstract: Systems, apparatuses, and methods for a hardware and software system to automatically decompose a program into multiple parallel threads are described. In some embodiments, the systems and apparatuses execute a method of original code decomposition and/or generated thread execution.
    Type: Grant
    Filed: June 6, 2017
    Date of Patent: July 28, 2020
    Assignee: Intel Corporation
    Inventors: David J. Sager, Ruchira Sasanka, Ron Gabor, Shlomo Raikin, Joseph Nuzman, Leeor Peled, Jason A. Domer, Ho-Seop Kim, Youfeng Wu, Koichi Yamada, Tin-Fook Ngai, Howard H. Chen, Jayaram Bobba, Jeffrey J. Cook, Omar M. Shaikh, Suresh Srinivas
  • Publication number: 20190347125
    Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.
    Type: Application
    Filed: December 31, 2016
    Publication date: November 14, 2019
    Inventors: Rajesh M. SANKARAN, Gilbert NEIGER, Narayan RANGANATHAN, Stephen R. VAN DOREN, Joseph NUZMAN, Niall D. MCDONNELL, Michael A. O'HANLON, Lokpraveen B. MOSUR, Tracy Garrett DRYSDALE, Eriko NURVITADHI, Asit K. MISHRA, Ganesh VENKATESH, Deborah T. MARR, Nicholas P. CARTER, Jonathan D. PEARCE, Edward T. GROCHOWSKI, Richard J. GRECO, Robert VALENTINE, Jesus CORBAL, Thomas D. FLETCHER, Dennis R. BRADFORD, Dwight P. MANLEY, Mark J. CHARNEY, Jeffrey J. COOK, Paul CAPRIOLI, Koichi YAMADA, Kent D. GLOSSOP, David B. SHEFFIELD
  • Publication number: 20190235849
    Abstract: Technologies for optimized binary translation include a computing device that determines a cost-benefit metric associated with each translated code block of a translation cache. The cost-benefit metric is indicative of translation cost and performance benefit associated with the translated code block. The translation cost may be determined by measuring translation time of the translated code block. The cost-benefit metric may be calculated using a weighted cost-benefit function based on an expected workload of the computing device. In response to determining to free space in the translation cache, the computing device determines whether to discard each translated code block as a function of the cost-benefit metric. In response to determining to free space in the translation cache, the computing device may increment an iteration count and skip each translated code block if the iteration count modulo the corresponding cost-benefit metric is non-zero. Other embodiments are described and claimed.
    Type: Application
    Filed: April 9, 2019
    Publication date: August 1, 2019
    Inventors: Paul Caprioli, Jeffrey J. Cook
  • Patent number: 10282182
    Abstract: Technologies for optimized binary translation include a computing device that determines a cost-benefit metric associated with each translated code block of a translation cache. The cost-benefit metric is indicative of translation cost and performance benefit associated with the translated code block. The translation cost may be determined by measuring translation time of the translated code block. The cost-benefit metric may be calculated using a weighted cost-benefit function based on an expected workload of the computing device. In response to determining to free space in the translation cache, the computing device determines whether to discard each translated code block as a function of the cost-benefit metric. In response to determining to free space in the translation cache, the computing device may increment an iteration count and skip each translated code block if the iteration count modulo the corresponding cost-benefit metric is non-zero. Other embodiments are described and claimed.
    Type: Grant
    Filed: September 23, 2016
    Date of Patent: May 7, 2019
    Assignee: Intel Corporation
    Inventors: Paul Caprioli, Jeffrey J. Cook
  • Patent number: 10209989
    Abstract: A vector reduction instruction is executed by a processor to provide efficient reduction operations on an array of data elements. The processor includes vector registers. Each vector register is divided into a plurality of lanes, and each lane stores the same number of data elements. The processor also includes execution circuitry that receives the vector reduction instruction to reduce the array of data elements stored in a source operand into a result in a destination operand using a reduction operator. Each of the source operand and the destination operand is one of the vector registers. Responsive to the vector reduction instruction, the execution circuitry applies the reduction operator to two of the data elements in each lane, and shifts one or more remaining data elements when there is at least one of the data elements remaining in each lane.
    Type: Grant
    Filed: March 7, 2017
    Date of Patent: February 19, 2019
    Assignee: Intel Corporation
    Inventors: Paul Caprioli, Abhay S. Kanhere, Jeffrey J. Cook, Muawya M. Al-Otoom
  • Publication number: 20180285283
    Abstract: A processor includes a memory to store original code and a fingerprint data structure, which stores, in a way thereof, an entry including a physical address for a page and a stored fingerprint generated from the page of the original code. A core includes a translation protection data structure (TPDS) to detect modification to the page, wherein the core is to, upon execution of a translation check instruction included within a translated page code corresponding to the page, transmit, to the TPDS, a modification check request having the physical address of the page in the memory and the way of the fingerprint data structure. A hardware TPDS miss handler is coupled to the core and is to process a miss request received from the TPDS responsive to the physical address not being present in the TPDS.
    Type: Application
    Filed: March 31, 2017
    Publication date: October 4, 2018
    Inventors: Paul Caprioli, Jeffrey J. Cook
  • Patent number: 10089244
    Abstract: A processor includes a memory to store original code and a fingerprint data structure, which stores, in a way thereof, an entry including a physical address for a page and a stored fingerprint generated from the page of the original code. A core includes a translation protection data structure (TPDS) to detect modification to the page, wherein the core is to, upon execution of a translation check instruction included within a translated page code corresponding to the page, transmit, to the TPDS, a modification check request having the physical address of the page in the memory and the way of the fingerprint data structure. A hardware TPDS miss handler is coupled to the core and is to process a miss request received from the TPDS responsive to the physical address not being present in the TPDS.
    Type: Grant
    Filed: March 31, 2017
    Date of Patent: October 2, 2018
    Assignee: Intel Corporation
    Inventors: Paul Caprioli, Jeffrey J. Cook
  • Patent number: 9934124
    Abstract: In an embodiment, a processor includes execution logic to execute binary translated (BT) code that is translated from native architecture (NA) code. The processor also includes processor trace (PT) logic to output trace information responsive to execution of a BT direct branch instruction in the BT code when the NA code includes an NA direct branch instruction that corresponds to the BT direct branch instruction. The trace information is to include an indication of an NA outcome associated with an execution of the NA direct branch instruction. The trace information is to be based on a BT outcome associated with the execution of the BT direct branch instruction. Other embodiments are described and claimed.
    Type: Grant
    Filed: June 5, 2015
    Date of Patent: April 3, 2018
    Assignee: Intel Corporation
    Inventors: Furat F. Afram, Jeffrey J. Cook, Paul Caprioli