Technologies for offloading acceleration task scheduling operations to accelerator sleds

1. A compute device comprising:

an I/O subsystem and

circuitry to:

receive a request from a compute sled to accelerate execution of a job, wherein the job includes a set of tasks;

analyze the request to generate metadata indicative of the tasks within the job, a type of acceleration associated with each task, and a data dependency between the tasks;

send an availability request to a micro-orchestrator of an accelerator sled communicatively coupled to the compute device, wherein the availability request includes the metadata;

receive availability data from the micro-orchestrator, wherein the availability data is indicative of which of the tasks the micro-orchestrator has accepted for acceleration on an associated accelerator sled; and

assign the tasks to the micro-orchestrator as a function of the availability data.

2. The compute device of claim 1 , wherein to receive a request to accelerate a job comprises to receive a request that includes code indicative of operations to be performed within the job; and

wherein to analyze the request comprises to analyze the code to identify operations to be grouped into tasks.

3. The compute device of claim 1 , wherein to analyze the request comprises to determine a type of acceleration for each task.

4. The compute device of claim 1 , wherein to analyze the request comprises to determine a data dependence between the tasks.

5. The compute device of claim 4 , wherein to determine the data dependence between the tasks comprises determine a subdivision of the tasks to operate on different portions of a data set concurrently.

6. The compute device of claim 1 , wherein to receive the request to accelerate a job comprises to receive a request that identifies a workload phase associated with the job; and

wherein the circuitry is further to associate the tasks within the job with a workload phase identifier.

7. The compute device of claim 1 , wherein to send an availability request to a micro-orchestrator comprises to send the availability request to multiple micro-orchestrators.

8. The compute device of claim 1 , wherein to receive availability data from the micro-orchestrator comprises to receive an indication of an estimated time to complete the tasks accepted by a micro-orchestrator.

9. The compute device of claim 1 , wherein to receive availability data from the micro-orchestrator comprises to receive an indication of whether an accelerator sled associated with the micro-orchestrator can access a shared memory with another accelerator sled for parallel execution of one or more of the tasks.

10. The compute device of claim 1 , wherein the accelerator sled is one of a plurality of accelerator sleds and wherein to assign the tasks to the micro-orchestrator comprises to assign the tasks as a function of a best fit of each associated accelerated sled to the tasks.

11. The compute device of claim 10 , wherein to assign the tasks as a function of a best fit of each associated accelerated sled comprises to consolidate tasks on the associated accelerator sleds to reduce network congestion.

12. The compute device of claim 10 , wherein to assign the tasks as a function of a best fit of each associated accelerated sled comprises to assign the tasks as a function of estimated time completion of each task.

13. One or more non-transitory machine-readable storage media comprising a plurality of instructions stored thereon that, in response to being executed, cause a compute device to:

receive a request from a compute sled to accelerate execution of a job, wherein the job includes a set of tasks;

analyze the request to generate metadata indicative of the tasks within the job, a type of acceleration associated with each task, and a data dependency between the tasks;

send an availability request to a micro-orchestrator of an accelerator sled communicatively coupled to the compute device, wherein the availability request includes the metadata;

receive availability data from the micro-orchestrator, wherein the availability data is indicative of which of the tasks the micro-orchestrator has accepted for acceleration on an associated accelerator sled; and

assign the tasks to the micro-orchestrator as a function of the availability data.

14. The one or more non-transitory machine-readable storage media of claim 13 , wherein to receive a request to accelerate a job comprises to receive a request that includes code indicative operations to be performed within the job; and

wherein to analyze the request comprises to analyze the code to identify operations to be grouped into tasks.

15. The one or more non-transitory machine-readable storage media of claim 13 , wherein to analyze the request comprises to determine a type of acceleration for each task.

16. The one or more non-transitory machine-readable storage media of claim 13 , wherein to analyze the request comprises to determine a data dependence between the tasks.

17. The one or more non-transitory machine-readable storage media of claim 16 , wherein to determine the data dependence between the tasks comprises determine a subdivision of the tasks to operate on different portions of a data set concurrently.

18. The one or more non-transitory machine-readable storage media of claim 13 , wherein to receive the request to accelerate a job comprises to receive a request that identifies a workload phase associated with the job; and

wherein the plurality of instructions, when executed, further cause the compute device to associate the tasks within the job with a workload phase identifier.

19. The one or more non-transitory machine-readable storage media of claim 13 , wherein to send an availability request to a micro-orchestrator comprises to send the availability request to multiple micro-orchestrators.

20. The one or more non-transitory machine-readable storage media of claim 13 , wherein to receive availability data from the micro-orchestrator comprises to receive an indication of an estimated time to complete the tasks accepted by a micro-orchestrator.

21. The one or more non-transitory machine-readable storage media of claim 13 , wherein to receive availability data from the micro-orchestrator comprises to receive an indication of whether an accelerator sled associated with the micro-orchestrator can access a shared memory with another accelerator sled for parallel execution of one or more of the tasks.

22. The one or more non-transitory machine-readable storage media of claim 13 , wherein the accelerator sled is one of a plurality of accelerator sleds and wherein to assign the tasks to the micro-orchestrator comprises to assign the tasks as a function of a best fit of each associated accelerated sled to the tasks.

23. The one or more non-transitory machine-readable storage media of claim 22 , wherein to assign the tasks as a function of a best fit of each associated accelerated sled comprises to consolidate tasks on associated accelerator sleds to reduce network congestion.

24. The one or more non-transitory machine-readable storage media of claim 22 , wherein to assign the tasks as a function of a best fit of each associated accelerated sled comprises to assign the tasks as a function of estimated time completion of each task.

25. A compute device comprising:

circuitry for receiving a request from a compute sled to accelerate execution of a job, wherein the job includes a set of tasks;

means for analyzing the request to generate metadata indicative of the tasks within the job, a type of acceleration associated with each task, and a data dependency between the tasks;

circuitry for sending an availability request to a micro-orchestrator of an accelerator sled communicatively coupled to the compute device, wherein the availability request includes the metadata;

circuitry for receiving availability data from the micro-orchestrator, wherein the availability data is indicative of which of the tasks the micro-orchestrator has accepted for acceleration on an associated accelerator sled; and

means for assigning the tasks to the micro-orchestrator as a function of the availability data.

26. A method comprising:

receiving, by a compute device, a request from a compute sled to accelerate execution of a job, wherein the job includes a set of tasks;

analyzing, by the compute device, the request to generate metadata indicative of the tasks within the job, a type of acceleration associated with each task, and a data dependency between the tasks;

sending, by the compute device, an availability request to a micro-orchestrator of an accelerator sled communicatively coupled to the compute device, wherein the availability request includes the metadata;

receiving, by the compute device, availability data from the micro-orchestrator, wherein the availability data is indicative of which of the tasks the micro-orchestrator has accepted for acceleration on an associated accelerator sled; and

assigning, by the compute device, the tasks to the micro-orchestrator as a function of the availability data.

27. The method of claim 26 , wherein receiving a request to accelerate a job comprises receiving a request that includes code indicative operations to be performed within the job; and

wherein analyzing the request comprises analyzing the code to identify operations to be grouped into tasks.

28. The method of claim 26 , wherein analyzing the request comprises determining a type of acceleration for each task.