Intel Corporation

Intel Corproation

Henry M Mitchel

Francesc Guim Bernat

Susanne M Balle

Evan Custodio

Joe Grecco

Slawomir Putyrski

Sujoy Sen

Rahul Khanna

Utkarsh Y Kakaiya

Pratik M Marolia

Gerald Lebizay

Joseph J Grecco

Sundar Nadathur

David Gish

Paul H Dormitzer

David Alexander Munday

Joshua David Fender

Nagabhushan Chitlur

Michael C Adler

Alan Stone

Aaron J Grier

Farid Adrangi

Prakash N Iyer

Brian Peebles

Neal Conrad Oliver

Asher M Altman

James (JR-Shian) Tsai

Neal Oliver

Systems, methods, and devices for isolating a misbehaving accelerator circuit, such as an accelerator function unit or an accelerated function context, are provided. An integrated circuit may include a region that includes an accelerator circuit. When the accelerator circuit issues a request, another region of the integrated circuit or a processor connected to the integrated circuit may determine whether there is a misbehavior associated with the request and, in response to determining that there is a misbehavior associated with the request, may perform a misbehavior response to mitigate a negative impact of the misbehavior of the accelerator circuit.

Systems and methods for isolating an accelerated function unit and/or an accelerated function context

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.

Technologies for dividing work across accelerator devices

Technologies for offloading acceleration task scheduling operations to accelerator sleds include a compute device to receive a request from a compute sled to accelerate the execution of a job, which includes a set of tasks. The compute device is also to 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.

Technologies for offloading acceleration task scheduling operations to accelerator sleds

A system comprising an accelerator circuit comprising an accelerator function unit to implement a first function, and one or more device feature header (DFH) circuits to provide attributes associated with the accelerator function unit, and a processor to retrieve the attributes of the accelerator function unit by traversing a device feature list (DFL) referencing the one or more DFH circuits, execute, based on the attributes, an application encoding the first function to cause the accelerator function unit to perform the first function.

Modular accelerator function unit (AFU) design, discovery, and reuse

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.

Technologies for providing accelerated functions as a service in a disaggregated architecture

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.

Technologies for providing efficient reprovisioning in an accelerator device

Technologies for providing shared memory for accelerator sleds includes an accelerator sled to receive, with a memory controller, a memory access request from an accelerator device to access a region of memory. The request is to identify the region of memory with a logical address. Additionally, the accelerator sled is to determine from a map of logical addresses and associated physical address, the physical address associated with the region of memory. In addition, the accelerator sled is to route the memory access request to a memory device associated with the determined physical address.

Technologies for providing shared memory for accelerator sleds

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Wayne, NJ, United States of America

Henry M Mitchel