Patents by Inventor Curt E. BRUNS

Curt E. BRUNS 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).

  • Publication number: 20250279962
    Abstract: Examples described herein relate to a switch, when operational, that is configured to receive in a packet an indicator of number of remaining bytes in a flow and to selectively send a congestion message based on a fullness level of a buffer and indication of remainder of the flow. In some examples, the indicator is received in an Internet Protocol version 4 consistent Options header field or Internet Protocol version 6 consistent Flow label field. In some examples, the congestion message comprises one or more of: an Explicit Congestion Control Notification (ECN), priority-based flow control (PFC), and/or in-band telemetry (INT). In some examples, to selectively send a congestion message to a transmitter based on a fullness level of a buffer that stored the packet and the number of remaining bytes in flow, the switch is to determine whether the buffer is large enough to store the remaining bytes in the flow.
    Type: Application
    Filed: January 3, 2025
    Publication date: September 4, 2025
    Inventors: Malek MUSLEH, Gene WU, Anupama KURPAD, Allister ALEMANIA, Roberto PENARANDA CEBRIAN, Robert SOUTHWORTH, Pedro YEBENES SEGURA, Curt E. BRUNS, Sujoy SEN
  • Patent number: 12224940
    Abstract: Examples described herein relate to a switch, when operational, that is configured to receive in a packet an indicator of number of remaining bytes in a flow and to selectively send a congestion message based on a fullness level of a buffer and indication of remainder of the flow. In some examples, the indicator is received in an Internet Protocol version 4 consistent Options header field or Internet Protocol version 6 consistent Flow label field. In some examples, the congestion message comprises one or more of: an Explicit Congestion Control Notification (ECN), priority-based flow control (PFC), and/or in-band telemetry (INT). In some examples, to selectively send a congestion message to a transmitter based on a fullness level of a buffer that stored the packet and the number of remaining bytes in flow, the switch is to determine whether the buffer is large enough to store the remaining bytes in the flow.
    Type: Grant
    Filed: October 29, 2021
    Date of Patent: February 11, 2025
    Assignee: Intel Corporation
    Inventors: Malek Musleh, Gene Wu, Anupama Kurpad, Allister Alemania, Roberto Penaranda Cebrian, Robert Southworth, Pedro Yebenes Segura, Curt E. Bruns, Sujoy Sen
  • Publication number: 20220210075
    Abstract: Examples described herein relate to a switch, when operational, that is configured to receive in a packet an indicator of number of remaining bytes in a flow and to selectively send a congestion message based on a fullness level of a buffer and indication of remainder of the flow. In some examples, the indicator is received in an Internet Protocol version 4 consistent Options header field or Internet Protocol version 6 consistent Flow label field. In some examples, the congestion message comprises one or more of: an Explicit Congestion Control Notification (ECN), priority-based flow control (PFC), and/or in-band telemetry (INT). In some examples, to selectively send a congestion message to a transmitter based on a fullness level of a buffer that stored the packet and the number of remaining bytes in flow, the switch is to determine whether the buffer is large enough to store the remaining bytes in the flow.
    Type: Application
    Filed: October 29, 2021
    Publication date: June 30, 2022
    Inventors: Malek MUSLEH, Gene WU, Anupama KURPAD, Allister ALEMANIA, Roberto PENARANDA CEBRIAN, Robert SOUTHWORTH, Pedro YEBENES SEGURA, Curt E. BRUNS, Sujoy SEN
  • Publication number: 20210359955
    Abstract: Examples described herein relate to a network interface device comprising: a host interface, a direct memory access (DMA) engine, and circuitry to allocate a region in a cache to store a context of a connection. In some examples, the circuitry is to allocate a region in a cache to store a context of a connection based on connection reliability and wherein connection reliability comprises use of a reliable transport protocol or non-use of a reliable transport protocol. In some examples, the circuitry is to allocate a region in a cache to store a context of a connection based on expected length of runtime of the connection and the expected length of runtime of the connection is based on a historic average amount of time the context for the connection was stored in the cache. In some examples, the circuitry is to allocate a region in a cache to store a context of a connection based on content transmitted and the content transmitted comprises congestion messaging payload or acknowledgement.
    Type: Application
    Filed: July 23, 2021
    Publication date: November 18, 2021
    Inventors: Malek MUSLEH, Tony HURSON, Pedro YEBENES SEGURA, Allister ALEMANIA, Roberto PENARANDA CEBRIAN, Ayan BANERJEE, Robert SOUTHWORTH, Sujoy SEN, Curt E. BRUNS
  • Publication number: 20210092069
    Abstract: Examples described herein relate to a network interface and at least one processor that is to indicate whether data is associated with a machine learning operation or non-machine learning operation to manage traversal of the data through one or more network elements to a destination network element and cause the network interface to include an indication in a packet of whether the packet includes machine learning data or non-machine learning data. In some examples, the indication in a packet of whether the packet includes machine learning data or non-machine learning data comprises a priority level and wherein one or more higher priority levels identify machine learning data. In some examples, for machine learning data, the priority level is based on whether the data is associated with inference, training, or re-training operations. In some examples, for machine learning data, the priority level is based on whether the data is associated with real-time or time insensitive inference operations.
    Type: Application
    Filed: December 10, 2020
    Publication date: March 25, 2021
    Inventors: Malek MUSLEH, Anupama KURPAD, Roberto PENARANDA CEBRIAN, Allister ALEMANIA, Pedro YEBENES SEGURA, Curt E. BRUNS, Robert SOUTHWORTH, Sujoy SEN