公开(公告)号：US11870662B2

公开(公告)日：2024-01-09

申请号：US17690642

申请日：2022-03-09

Applicant: INTEL CORPORATION

Inventor： Francesc Guim Bernat ,  Kshitij A. Doshi ,  Daniel Rivas Barragan ,  Mark A. Schmisseur ,  Steen Larsen

IPC: G06F15/173 ,  H04L41/5025 ,  H04L43/0817 ,  H04L43/16 ,  H04L41/0896

CPC classification number: H04L41/5025 ,  H04L41/0896 ,  H04L43/0817 ,  H04L43/16

Abstract: Embodiments may be generally directed to techniques to cause communication of a registration request between a first end-point and a second end-point of an end-to-end path, the registration request to establish resource load monitoring for one or more resources of the end-to-end path, receive one or more acknowledgements indicating resource loads for each of the one or more resources of the end-to-end path, at least one of the acknowledgements to indicate a resource of the one or more resources is not meeting a threshold requirement for the end-to-end path, and perform an action for communication traffic utilizing the one or more resources based on the acknowledgement.

公开(公告)号：US11822963B2

公开(公告)日：2023-11-21

申请号：US17549110

申请日：2021-12-13

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Kshitij A. Doshi ,  Daniel Rivas Barragan ,  Alejandro Duran Gonzalez ,  Harald Servat

IPC: H04L67/51 ,  G06F9/50 ,  H04W8/22 ,  H04L67/1097 ,  H04L61/103 ,  H04L45/745 ,  H04L67/1004 ,  H04L67/566

CPC classification number: G06F9/5005 ,  G06F9/5016 ,  G06F9/5022 ,  H04L67/1097 ,  H04L67/51 ,  H04W8/22 ,  G06F2209/463 ,  H04L45/745 ,  H04L61/103 ,  H04L67/1004 ,  H04L67/566

Abstract: Technologies for dynamically sharing remote resources include a computing node that sends a resource request for remote resources to a remote computing node in response to a determination that additional resources are required by the computing node. The computing node configures a mapping of a local address space of the computing node to the remote resources of the remote computing node in response to sending the resource request. In response to generating an access to the local address, the computing node identifies the remote computing node based on the local address with the mapping of the local address space to the remote resources of the remote computing node and performs a resource access operation with the remote computing node over a network fabric. The remote computing node may be identified with system address decoders of a caching agent and a host fabric interface. Other embodiments are described and claimed.

公开(公告)号：US11799952B2

公开(公告)日：2023-10-24

申请号：US16241891

申请日：2019-01-07

Applicant: Intel Corporation

Inventor： Suraj Prabhakaran ,  Kshitij A. Doshi ,  Francesc Guim Bernat

IPC: H04L67/1036 ,  H04L67/1004 ,  H04L9/40 ,  H04L41/046 ,  H04L67/51 ,  H04L67/61

CPC classification number: H04L67/1036 ,  H04L41/046 ,  H04L63/08 ,  H04L67/1004 ,  H04L67/51 ,  H04L67/61

Abstract: A computing cluster can receive a request to perform a workload from a client. The request can include a service discovery agent. If the request is authenticated and permitted on the computing cluster, the service discovery agent is executed. Execution of the service discovery agent can lead to discovery of resource capabilities of the cluster and selection of the appropriate resource based on performance requirements. The selected resource can be deployed for execution of the workload.

公开(公告)号：US11436433B2

公开(公告)日：2022-09-06

申请号：US15857562

申请日：2017-12-28

Applicant: Intel Corporation

Inventor： Alexander Bachmutsky ,  Kshitij A. Doshi ,  Francesc Guim Bernat ,  Raghu Kondapalli ,  Suraj Prabhakaran

IPC: G06K9/62 ,  H04L67/1097 ,  G06N3/08 ,  H04L67/125 ,  H04L67/12 ,  H04L67/10 ,  G06N3/063 ,  H04W4/38

Abstract: An apparatus for training artificial intelligence (AI) models is presented. In embodiments, the apparatus may include an input interface to receive in real time model training data from one or more sources to train one or more artificial neural networks (ANNs) associated with the one or more sources, each of the one or more sources associated with at least one of the ANNs; a load distributor coupled to the input interface to distribute in real time the model training data for the one or more ANNs to one or more AI appliances; and a resource manager coupled to the load distributor to dynamically assign one or more computing resources on ones of the AI appliances to each of the ANNs in view of amounts of the training data received in real time from the one or more sources for their associated ANNs.

公开(公告)号：US20220244992A1

公开(公告)日：2022-08-04

申请号：US17549110

申请日：2021-12-13

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Kshitij A. Doshi ,  Daniel Rivas Barragan ,  Alejandro Duran Gonzalez ,  Harald Servat

IPC: G06F9/50 ,  H04W8/22 ,  H04L67/51 ,  H04L67/1097

Abstract: Technologies for dynamically sharing remote resources include a computing node that sends a resource request for remote resources to a remote computing node in response to a determination that additional resources are required by the computing node. The computing node configures a mapping of a local address space of the computing node to the remote resources of the remote computing node in response to sending the resource request. In response to generating an access to the local address, the computing node identifies the remote computing node based on the local address with the mapping of the local address space to the remote resources of the remote computing node and performs a resource access operation with the remote computing node over a network fabric. The remote computing node may be identified with system address decoders of a caching agent and a host fabric interface. Other embodiments are described and claimed.

公开(公告)号：US11164083B2

公开(公告)日：2021-11-02

申请号：US17208861

申请日：2021-03-22

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Suraj Prabhakaran ,  Kshitij A. Doshi ,  Da-Ming Chiang

IPC: G06N3/08 ,  G06N5/04 ,  G06N3/063

Abstract: Examples include techniques to manage training or trained models for deep learning applications. Examples include routing commands to configure a training model to be implemented by a training module or configure a trained model to be implemented by an inference module. The commands routed via out-of-band (OOB) link while training data for the training models or input data for the trained models are routed via inband links.

公开(公告)号：US20210191789A1

公开(公告)日：2021-06-24

申请号：US17111581

申请日：2020-12-04

Applicant: Intel Corporation

Inventor： Vadim Sukhomlinov ,  Kshitij A. Doshi

IPC: G06F9/54 ,  G06F9/50

Abstract: A computing apparatus, including: a hardware computing platform; and logic to operate on the hardware computing platform, configured to: receive a microservice instance registration for a microservice accelerator, wherein the registration includes a microservice that the microservice accelerator is configured to provide, and a microservice connection capability indicating an ability of the microservice instance to communicate directly with other instances of the same or a different microservice; and log the registration in a microservice registration database.

公开(公告)号：US11044099B2

公开(公告)日：2021-06-22

申请号：US16234724

申请日：2018-12-28

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Johan Van De Groenendaal ,  Kshitij A. Doshi ,  Susanne M. Balle ,  Suraj Prabhakaran

IPC: H04L9/32 ,  H04L9/08

Abstract: Technologies for providing certified telemetry data indicative of resource utilizations include a device with circuitry configured to obtain telemetry data indicative of a utilization of one or more device resources over a time period. The circuitry is additionally configured to sign the obtained telemetry data with a private key associated with the present device. Further, the circuitry is configured to send the signed telemetry data to a telemetry service for analysis.

公开(公告)号：US10581968B2

公开(公告)日：2020-03-03

申请号：US15477076

申请日：2017-04-01

Applicant: Intel Corporation

Inventor： Steen Larsen ,  Francesc Guim Bernat ,  Kshitij A. Doshi ,  Mark A. Schmisseur

IPC: H04L29/08 ,  G06F13/40 ,  G06F11/30 ,  G06F3/06 ,  G06F9/50

Abstract: A technology is described for performing a multi-node storage operation. An example networked memory storage group coupled to a plurality of computing nodes through s network fabric can be configured to receive a transaction detail message from a master computing node that includes a transaction identifier and transaction details for a multi-node storage operation. Thereafter, storage operation requests that include the transaction identifier may be received from computing nodes assigned storage operation tasks associated with the multi-node storage operation. The networked memory storage group may be configured to determine that storage operations for the multi-node storage operation have been completed and send a message to the master computing node indicating a completion state of the multi-node storage operation.

公开(公告)号：US10409613B2

公开(公告)日：2019-09-10

申请号：US14757995

申请日：2015-12-23

Applicant: Intel Corporation

Inventor： Asit K. Mishra ,  Kshitij A. Doshi ,  Elmoustapha Ould-Ahmed-Vall ,  Deborah T. Marr

IPC: G06F9/38 ,  G06F9/30 ,  G06F15/80

Abstract: Single Instruction, Multiple Data (SIMD) technologies are described. A method of performing a key value lookup instruction may include storing a vector of keys to a first register and storing a vector of values corresponding to the keys to a second register. A processor may receive an instruction to perform a key value lookup instruction including a vector of key input elements. The processor may compare each key input element to each key to determine matching keys. The processor may then store values corresponding to the matching keys to an output vector in the position of the key input elements.