公开(公告)号：US11429297B2

公开(公告)日：2022-08-30

申请号：US17321186

申请日：2021-05-14

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 ,  H03M7/30 ,  H03M7/40 ,  H04L43/08 ,  H04L47/20 ,  H04L47/2441 ,  G06F11/07 ,  G06F11/34 ,  G06F7/06 ,  G06T9/00 ,  H03M7/42 ,  H04L12/28 ,  H04L12/46 ,  H04L61/5007 ,  G06F13/16 ,  G06F21/62 ,  G06F21/76 ,  H03K19/173 ,  H04L9/08 ,  H04L41/044 ,  H04L49/104 ,  H04L67/63 ,  H04L67/75 ,  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

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：US11029870B2

公开(公告)日：2021-06-08

申请号：US15721829

申请日：2017-09-30

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 ,  H04L12/24 ,  H04L29/08 ,  G06F11/30 ,  G06F9/50 ,  H01R13/453 ,  G06F9/48 ,  H03M7/30 ,  H03M7/40 ,  H04L12/26 ,  H04L12/813 ,  H04L12/851 ,  G06F11/07 ,  G06F11/34 ,  G06F7/06 ,  G06T9/00 ,  H03M7/42 ,  H04L12/28 ,  H04L12/46 ,  H04L29/12 ,  G06F13/16 ,  G06F21/62 ,  G06F21/76 ,  H03K19/173 ,  H04L9/08 ,  H04L12/933 ,  G06F9/38 ,  G06F12/02 ,  G06F12/06 ,  G06T1/20 ,  G06T1/60 ,  G06F9/54 ,  G06F8/656 ,  G06F8/658 ,  G06F8/654 ,  G06F9/4401 ,  H01R13/631 ,  H05K7/14 ,  H04L12/911 ,  G06F11/14 ,  H04L29/06

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：US20210141552A1

公开(公告)日：2021-05-13

申请号：US17125420

申请日：2020-12-17

Applicant: Intel Corporation

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

IPC: G06F3/06 ,  G06F16/174 ,  G06F21/57 ,  G06F21/73 ,  G06F8/65 ,  H04L12/24 ,  H04L29/08 ,  G06F11/30 ,  G06F9/50 ,  H01R13/453 ,  G06F9/48 ,  H03M7/30 ,  H03M7/40 ,  H04L12/26 ,  H04L12/813 ,  H04L12/851 ,  G06F11/07 ,  G06F11/34 ,  G06F7/06 ,  G06T9/00 ,  H03M7/42 ,  H04L12/28 ,  H04L12/46 ,  H04L29/12 ,  G06F13/16 ,  G06F21/62 ,  G06F21/76 ,  H03K19/173 ,  H04L9/08 ,  H04L12/933 ,  G06F9/38 ,  G06F12/02 ,  G06F12/06 ,  G06T1/20 ,  G06T1/60 ,  G06F9/54 ,  G06F8/656 ,  G06F8/658 ,  G06F8/654 ,  G06F9/4401 ,  H01R13/631 ,  H05K7/14

Abstract: Technologies for providing accelerated functions as a service in a disaggregated architecture include a compute device that is to receive a request for an accelerated task. The task is associated with a kernel usable by an accelerator sled communicatively coupled to the compute device to execute the task. The compute device is further to determine, in response to the request and with a database indicative of kernels and associated accelerator sleds, an accelerator sled that includes an accelerator device configured with the kernel associated with the request. Additionally, the compute device is to assign the task to the determined accelerator sled for execution. Other embodiments are also described and claimed.

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：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：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：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.

公开(公告)号：US20230195346A1

公开(公告)日：2023-06-22

申请号：US18109774

申请日：2023-02-14

Applicant: Intel Corporation

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

IPC: 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

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

Abstract: A compute device to manage workflow to disaggregated computing resources is provided. The compute device comprises a compute engine receive a workload processing request, the workload processing request defined by at least one request parameter, determine at least one accelerator device capable of processing a workload in accordance with the at least one request parameter, transmit a workload to the at least one accelerator device, receive a work product produced by the at least one accelerator device from the workload, and provide the work product to an application.

公开(公告)号：US20220179575A1

公开(公告)日：2022-06-09

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: 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 ,  H03M7/30 ,  H03M7/40 ,  H04L43/08 ,  H04L47/20 ,  H04L47/2441 ,  G06F11/07 ,  G06F11/34 ,  G06F7/06 ,  G06T9/00 ,  H03M7/42 ,  H04L12/28 ,  H04L12/46 ,  H04L61/5007 ,  G06F13/16 ,  G06F21/62 ,  G06F21/76 ,  H03K19/173 ,  H04L9/08 ,  H04L41/044 ,  H04L49/104 ,  H04L67/63 ,  H04L67/75 ,  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

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：US11137922B2

公开(公告)日：2021-10-05

申请号：US15719770

申请日：2017-09-29

Applicant: Intel Corporation

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

IPC: G06F9/50 ,  G06F3/06 ,  G06F16/174 ,  G06F21/57 ,  G06F21/73 ,  G06F8/65 ,  H04L12/24 ,  H04L29/08 ,  G06F11/30 ,  H01R13/453 ,  G06F9/48 ,  H03M7/30 ,  H03M7/40 ,  H04L12/26 ,  H04L12/813 ,  H04L12/851 ,  G06F11/07 ,  G06F11/34 ,  G06F7/06 ,  G06T9/00 ,  H03M7/42 ,  H04L12/28 ,  H04L12/46 ,  H04L29/12 ,  G06F13/16 ,  G06F21/62 ,  G06F21/76 ,  H03K19/173 ,  H04L9/08 ,  H04L12/933 ,  G06F9/38 ,  G06F12/02 ,  G06F12/06 ,  G06T1/20 ,  G06T1/60 ,  G06F9/54 ,  G06F8/656 ,  G06F8/658 ,  G06F8/654 ,  G06F9/4401 ,  H01R13/631 ,  H05K7/14 ,  H04L12/911 ,  G06F11/14 ,  H04L29/06 ,  G06F15/80

Abstract: Technologies for providing accelerated functions as a service in a disaggregated architecture include a compute device that is to receive a request for an accelerated task. The task is associated with a kernel usable by an accelerator sled communicatively coupled to the compute device to execute the task. The compute device is further to determine, in response to the request and with a database indicative of kernels and associated accelerator sleds, an accelerator sled that includes an accelerator device configured with the kernel associated with the request. Additionally, the compute device is to assign the task to the determined accelerator sled for execution. Other embodiments are also described and claimed.