公开(公告)号：US20240143410A1

公开(公告)日：2024-05-02

申请号：US18405679

申请日：2024-01-05

Applicant: Intel Corporation

Inventor： Susanne M. Balle ,  Francesc Guim Bernat ,  Slawomir Putyrski ,  Joe Grecco ,  Henry Mitchel ,  Evan Custodio ,  Rahul Khanna ,  Sujoy Sen

IPC: G06F9/50 ,  G06F3/06 ,  G06F7/06 ,  G06F8/65 ,  G06F8/654 ,  G06F8/656 ,  G06F8/658 ,  G06F9/38 ,  G06F9/4401 ,  G06F9/455 ,  G06F9/48 ,  G06F9/54 ,  G06F11/07 ,  G06F11/30 ,  G06F11/34 ,  G06F12/02 ,  G06F12/06 ,  G06F13/16 ,  G06F16/174 ,  G06F21/57 ,  G06F21/62 ,  G06F21/73 ,  G06F21/76 ,  G06T1/20 ,  G06T1/60 ,  G06T9/00 ,  H01R13/453 ,  H01R13/631 ,  H03K19/173 ,  H03M7/30 ,  H03M7/40 ,  H03M7/42 ,  H04L9/08 ,  H04L12/28 ,  H04L12/46 ,  H04L41/044 ,  H04L41/0816 ,  H04L41/0853 ,  H04L41/12 ,  H04L43/04 ,  H04L43/06 ,  H04L43/08 ,  H04L43/0894 ,  H04L47/20 ,  H04L47/2441 ,  H04L49/104 ,  H04L61/5007 ,  H04L67/10 ,  H04L67/1014 ,  H04L67/63 ,  H04L67/75 ,  H05K7/14

CPC classification number: G06F9/505 ,  G06F3/0604 ,  G06F3/0608 ,  G06F3/0611 ,  G06F3/0613 ,  G06F3/0617 ,  G06F3/0641 ,  G06F3/0647 ,  G06F3/065 ,  G06F3/0653 ,  G06F3/067 ,  G06F7/06 ,  G06F8/65 ,  G06F8/654 ,  G06F8/656 ,  G06F8/658 ,  G06F9/3851 ,  G06F9/3891 ,  G06F9/4401 ,  G06F9/45533 ,  G06F9/4843 ,  G06F9/4881 ,  G06F9/5005 ,  G06F9/5038 ,  G06F9/5044 ,  G06F9/5083 ,  G06F9/544 ,  G06F11/0709 ,  G06F11/0751 ,  G06F11/079 ,  G06F11/3006 ,  G06F11/3034 ,  G06F11/3055 ,  G06F11/3079 ,  G06F11/3409 ,  G06F12/0284 ,  G06F12/0692 ,  G06F13/1652 ,  G06F16/1744 ,  G06F21/57 ,  G06F21/6218 ,  G06F21/73 ,  G06F21/76 ,  G06T1/20 ,  G06T1/60 ,  G06T9/005 ,  H01R13/453 ,  H01R13/4536 ,  H01R13/4538 ,  H01R13/631 ,  H03K19/1731 ,  H03M7/3084 ,  H03M7/40 ,  H03M7/42 ,  H03M7/60 ,  H03M7/6011 ,  H03M7/6017 ,  H03M7/6029 ,  H04L9/0822 ,  H04L12/2881 ,  H04L12/4633 ,  H04L41/044 ,  H04L41/0816 ,  H04L41/0853 ,  H04L41/12 ,  H04L43/04 ,  H04L43/06 ,  H04L43/08 ,  H04L43/0894 ,  H04L47/20 ,  H04L47/2441 ,  H04L49/104 ,  H04L61/5007 ,  H04L67/10 ,  H04L67/1014 ,  H04L67/63 ,  H04L67/75 ,  H05K7/1452 ,  H05K7/1487 ,  H05K7/1491 ,  H04L47/78

Abstract: Technologies for dividing work across one or more accelerator devices include a compute device. The compute device is to determine a configuration of each of multiple accelerator devices of the compute device, receive a job to be accelerated from a requester device remote from the compute device, and divide the job into multiple tasks for a parallelization of the multiple tasks among the one or more accelerator devices, as a function of a job analysis of the job and the configuration of each accelerator device. The compute engine is further to schedule the tasks to the one or more accelerator devices based on the job analysis and execute the tasks on the one or more accelerator devices for the parallelization of the multiple tasks to obtain an output of the job.

公开(公告)号：US11972298B2

公开(公告)日：2024-04-30

申请号：US17666366

申请日：2022-02-07

Applicant: Intel Corporation

Inventor： Evan Custodio ,  Francesc Guim Bernat ,  Suraj Prabhakaran ,  Trevor Cooper ,  Ned M. Smith ,  Kshitij Doshi ,  Petar Torre

IPC: G06F3/06 ,  G06F8/30 ,  G06F8/41 ,  G06F9/50 ,  G06F11/00 ,  G06F11/20 ,  G06F21/62

CPC classification number: G06F9/505 ,  G06F9/5044 ,  G06F9/5083 ,  G06F2209/509

Abstract: Technologies for migrating data between edge accelerators hosted on different edge locations include a device hosted on a present edge location. The device includes one or more processors to: receive a workload from a requesting device, determine one or more accelerator devices hosted on the present edge location to perform the workload, and transmit the workload to the one or more accelerator devices to process the workload. The one or more processor is further to determine whether to perform data migration from the one or more accelerator devices to one or more different edge accelerator devices hosted on a different edge location, and send, in response to a determination to perform the data migration, a request to the one or more accelerator devices on the present edge location for transformed workload data to be processed by the one or more different edge accelerator devices.

公开(公告)号：US11269395B2

公开(公告)日：2022-03-08

申请号：US16394646

申请日：2019-04-25

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Susanne M. Balle ,  Sujoy Sen ,  Evan Custodio ,  Paul H. Dormitzer

IPC: G06F1/26 ,  G06F1/3234 ,  G06F1/20

Abstract: Technologies for providing adaptive power management in an accelerator sled include an accelerator sled having circuitry to determine, based on (i) a total power budget for the accelerator sled, (ii) service level agreement (SLA) data indicative of a target performance of a kernel, and (iii) profile data indicative of a performance of the kernel as a function of a power utilization of the kernel, a power utilization limit for the kernel to be executed by an accelerator device on the accelerator sled. Additionally, the circuitry is to allocate the determined power utilization limit to the kernel and execute the kernel under the allocated power utilization limit.

公开(公告)号：US11196837B2

公开(公告)日：2021-12-07

申请号：US16369384

申请日：2019-03-29

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Karthik Kumar ,  Thomas Willhalm ,  Petar Torre ,  Ned Smith ,  Brinda Ganesh ,  Evan Custodio ,  Suraj Prabhakaran

IPC: H04L12/911 ,  H04L29/08 ,  H04L12/66

Abstract: Technologies for fulfilling service requests in an edge architecture include an edge gateway device to receive a request from an edge device or an intermediate tier device of an edge network to perform a function of a service by an entity hosting the service. The edge gateway device is to identify one or more input data to fulfill the request by the service and request the one or more input data from an edge resource identified to provide the input data. The edge gateway device is to provide the input data to the entity associated with the request.

公开(公告)号：US11119835B2

公开(公告)日：2021-09-14

申请号：US15859365

申请日：2017-12-30

Applicant: Intel Corporation

Inventor： Evan Custodio ,  Susanne M. Balle ,  Francesc Guim Bernat ,  Slawomir Putyrski ,  Joe Grecco ,  Henry Mitchel

IPC: G06F9/54 ,  G02B6/44 ,  G06F15/78 ,  H03K19/0175

Abstract: Technologies for providing efficient reprovisioning in an accelerator device include an accelerator sled. The accelerator sled includes a memory and an accelerator device coupled to the memory. The accelerator device is to configure itself with a first bit stream to establish a first kernel, execute the first kernel to produce output data, write the output data to the memory, configure itself with a second bit stream to establish a second kernel, and execute the second kernel with the output data in the memory used as input data to the second kernel. Other embodiments are also described and claimed.

公开(公告)号：US20200341824A1

公开(公告)日：2020-10-29

申请号：US16395793

申请日：2019-04-26

Applicant: Intel Corporation

Inventor： Susanne M. Balle ,  Evan Custodio ,  Narayan Ranganathan ,  Paul H. Dormitzer

IPC: G06F9/54 ,  G06F9/38 ,  G06F15/173

Abstract: Technologies for providing inter-kernel communication abstraction to support scale-up and scale-out include an accelerator device. The accelerator device includes circuitry to receive, from a kernel of the present accelerator device, a request through an application programming interface exposed to a high level software language in which the kernel of the present accelerator device is implemented, to establish a logical communication path between the kernel of the present accelerator device and a target accelerator device kernel, based on one or more physical communication paths. Additionally, the circuitry is to establish, in response to the request, the logical communication path between the kernel of the present accelerator device and the other accelerator device kernel and communicate data between the kernel of the present accelerator device and the other accelerator device kernel with a unified communication protocol that manages differences between the physical communication paths.

公开(公告)号：US20190068444A1

公开(公告)日：2019-02-28

申请号：US15859363

申请日：2017-12-30

Applicant: Intel Corporation

Inventor： Joe Grecco ,  Sujoy Sen ,  Francesc Guim Bernat ,  Susanne M. Balle ,  Evan Custodio ,  Paul Dormitzer ,  Henry Mitchel

IPC: H04L12/24

Abstract: Technologies for providing efficient transfer of results from remote accelerator devices include a compute sled. The compute sled is to send a request to utilize an accelerator device on an accelerator sled. The request includes a data object to be processed by the accelerator device to increase the speed of execution of a workload associated with the data object. The compute sled is also to receive a modification map from the accelerator sled indicative of a modification to the data object. Further, the compute sled is to determine the modification to the data object based on the modification map and apply the modification to the data object in a memory device of the compute sled.

公开(公告)号：US12288101B2

公开(公告)日：2025-04-29

申请号：US18405679

申请日：2024-01-05

Applicant: Intel Corporation

Inventor： Susanne M. Balle ,  Francesc Guim Bernat ,  Slawomir Putyrski ,  Joe Grecco ,  Henry Mitchel ,  Evan Custodio ,  Rahul Khanna ,  Sujoy Sen

IPC: G06F15/80 ,  G06F3/06 ,  G06F7/06 ,  G06F8/65 ,  G06F8/654 ,  G06F8/656 ,  G06F8/658 ,  G06F9/38 ,  G06F9/4401 ,  G06F9/455 ,  G06F9/48 ,  G06F9/50 ,  G06F9/54 ,  G06F11/07 ,  G06F11/30 ,  G06F11/34 ,  G06F12/02 ,  G06F12/06 ,  G06F13/16 ,  G06F16/174 ,  G06F21/57 ,  G06F21/62 ,  G06F21/73 ,  G06F21/76 ,  G06T1/20 ,  G06T1/60 ,  G06T9/00 ,  H01R13/453 ,  H01R13/631 ,  H03K19/173 ,  H03M7/30 ,  H03M7/40 ,  H03M7/42 ,  H04L9/08 ,  H04L12/28 ,  H04L12/46 ,  H04L41/044 ,  H04L41/0816 ,  H04L41/0853 ,  H04L41/12 ,  H04L43/04 ,  H04L43/06 ,  H04L43/08 ,  H04L43/0894 ,  H04L47/20 ,  H04L47/2441 ,  H04L49/104 ,  H04L61/5007 ,  H04L67/10 ,  H04L67/1014 ,  H04L67/63 ,  H04L67/75 ,  H05K7/14 ,  G06F11/14 ,  G06F16/28 ,  H04L9/40 ,  H04L41/046 ,  H04L41/0896 ,  H04L41/142 ,  H04L47/78 ,  H04Q11/00

Abstract: Technologies for dividing work across one or more accelerator devices include a compute device. The compute device is to determine a configuration of each of multiple accelerator devices of the compute device, receive a job to be accelerated from a requester device remote from the compute device, and divide the job into multiple tasks for a parallelization of the multiple tasks among the one or more accelerator devices, as a function of a job analysis of the job and the configuration of each accelerator device. The compute engine is further to schedule the tasks to the one or more accelerator devices based on the job analysis and execute the tasks on the one or more accelerator devices for the parallelization of the multiple tasks to obtain an output of the job.

公开(公告)号：US12132805B2

公开(公告)日：2024-10-29

申请号：US17542175

申请日：2021-12-03

Applicant: Intel Corporation

Inventor： Francesc Guim Bernat ,  Karthik Kumar ,  Thomas Willhalm ,  Petar Torre ,  Ned Smith ,  Brinda Ganesh ,  Evan Custodio ,  Suraj Prabhakaran

IPC: H04L67/60 ,  H04L12/66 ,  H04L47/70 ,  H04L67/2885 ,  H04L67/5681 ,  H04L67/62

CPC classification number: H04L67/60 ,  H04L12/66 ,  H04L47/70 ,  H04L67/2885 ,  H04L67/5681 ,  H04L67/62

Abstract: Technologies for fulfilling service requests in an edge architecture include an edge gateway device to receive a request from an edge device or an intermediate tier device of an edge network to perform a function of a service by an entity hosting the service. The edge gateway device is to identify one or more input data to fulfill the request by the service and request the one or more input data from an edge resource identified to provide the input data. The edge gateway device is to provide the input data to the entity associated with the request.

公开(公告)号：US11907557B2

公开(公告)日：2024-02-20

申请号：US17681025

申请日：2022-02-25

Applicant: Intel Corporation

Inventor： Susanne M. Balle ,  Francesc Guim Bernat ,  Slawomir Putyrski ,  Joe Grecco ,  Henry Mitchel ,  Evan Custodio ,  Rahul Khanna ,  Sujoy Sen

IPC: G06F15/80 ,  G06F3/06 ,  G06F16/174 ,  G06F21/57 ,  G06F21/73 ,  G06F8/65 ,  H04L41/0816 ,  H04L41/0853 ,  H04L41/12 ,  H04L67/10 ,  G06F11/30 ,  G06F9/50 ,  H01R13/453 ,  G06F9/48 ,  G06F9/455 ,  H05K7/14 ,  H04L61/5007 ,  H04L67/63 ,  H04L67/75 ,  H03M7/30 ,  H03M7/40 ,  H04L43/08 ,  H04L47/20 ,  H04L47/2441 ,  G06F11/07 ,  G06F11/34 ,  G06F7/06 ,  G06T9/00 ,  H03M7/42 ,  H04L12/28 ,  H04L12/46 ,  G06F13/16 ,  G06F21/62 ,  G06F21/76 ,  H03K19/173 ,  H04L9/08 ,  H04L41/044 ,  H04L49/104 ,  H04L43/04 ,  H04L43/06 ,  H04L43/0894 ,  G06F9/38 ,  G06F12/02 ,  G06F12/06 ,  G06T1/20 ,  G06T1/60 ,  G06F9/54 ,  H04L67/1014 ,  G06F8/656 ,  G06F8/658 ,  G06F8/654 ,  G06F9/4401 ,  H01R13/631 ,  H04L47/78 ,  G06F16/28 ,  H04Q11/00 ,  G06F11/14 ,  H04L41/046 ,  H04L41/0896 ,  H04L41/142 ,  H04L9/40

CPC classification number: G06F3/0641 ,  G06F3/0604 ,  G06F3/065 ,  G06F3/067 ,  G06F3/0608 ,  G06F3/0611 ,  G06F3/0613 ,  G06F3/0617 ,  G06F3/0647 ,  G06F3/0653 ,  G06F7/06 ,  G06F8/65 ,  G06F8/654 ,  G06F8/656 ,  G06F8/658 ,  G06F9/3851 ,  G06F9/3891 ,  G06F9/4401 ,  G06F9/45533 ,  G06F9/4843 ,  G06F9/4881 ,  G06F9/5005 ,  G06F9/505 ,  G06F9/5038 ,  G06F9/5044 ,  G06F9/5083 ,  G06F9/544 ,  G06F11/0709 ,  G06F11/079 ,  G06F11/0751 ,  G06F11/3006 ,  G06F11/3034 ,  G06F11/3055 ,  G06F11/3079 ,  G06F11/3409 ,  G06F12/0284 ,  G06F12/0692 ,  G06F13/1652 ,  G06F16/1744 ,  G06F21/57 ,  G06F21/6218 ,  G06F21/73 ,  G06F21/76 ,  G06T1/20 ,  G06T1/60 ,  G06T9/005 ,  H01R13/453 ,  H01R13/4536 ,  H01R13/4538 ,  H01R13/631 ,  H03K19/1731 ,  H03M7/3084 ,  H03M7/40 ,  H03M7/42 ,  H03M7/60 ,  H03M7/6011 ,  H03M7/6017 ,  H03M7/6029 ,  H04L9/0822 ,  H04L12/2881 ,  H04L12/4633 ,  H04L41/044 ,  H04L41/0816 ,  H04L41/0853 ,  H04L41/12 ,  H04L43/04 ,  H04L43/06 ,  H04L43/08 ,  H04L43/0894 ,  H04L47/20 ,  H04L47/2441 ,  H04L49/104 ,  H04L61/5007 ,  H04L67/10 ,  H04L67/1014 ,  H04L67/63 ,  H04L67/75 ,  H05K7/1452 ,  H05K7/1487 ,  H05K7/1491 ,  G06F11/1453 ,  G06F12/023 ,  G06F15/80 ,  G06F16/285 ,  G06F2212/401 ,  G06F2212/402 ,  G06F2221/2107 ,  H04L41/046 ,  H04L41/0896 ,  H04L41/142 ,  H04L47/78 ,  H04L63/1425 ,  H04Q11/0005 ,  H05K7/1447 ,  H05K7/1492

Abstract: Technologies for dividing work across one or more accelerator devices include a compute device. The compute device is to determine a configuration of each of multiple accelerator devices of the compute device, receive a job to be accelerated from a requester device remote from the compute device, and divide the job into multiple tasks for a parallelization of the multiple tasks among the one or more accelerator devices, as a function of a job analysis of the job and the configuration of each accelerator device. The compute engine is further to schedule the tasks to the one or more accelerator devices based on the job analysis and execute the tasks on the one or more accelerator devices for the parallelization of the multiple tasks to obtain an output of the job.