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.

Abstract: Technologies for dynamically managing resources in disaggregated accelerators include an accelerator. The accelerator includes acceleration circuitry with multiple logic portions, each capable of executing a different workload. Additionally, the accelerator includes communication circuitry to receive a workload to be executed by a logic portion of the accelerator and a dynamic resource allocation logic unit to identify a resource utilization threshold associated with one or more shared resources of the accelerator to be used by a logic portion in the execution of the workload, limit, as a function of the resource utilization threshold, the utilization of the one or more shared resources by the logic portion as the logic portion executes the workload, and subsequently adjust the resource utilization threshold as the workload is executed. Other embodiments are also described and claimed.

Abstract: Technologies for providing efficient migration of services include a server device. The server device includes compute engine circuitry to execute a set of services on behalf of a terminal device and migration accelerator circuitry. The migration accelerator circuitry is to determine whether execution of the services is to be migrated from an edge station in which the present server device is located to a second edge station in which a second server device is located, determine a prioritization of the services executed by the server device, and send, in response to a determination that the services are to be migrated and as a function of the determined prioritization, data utilized by each service to the second server device of the second edge station to migrate the services. Other embodiments are also described and claimed.

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.

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.

Abstract: Technologies for dynamically managing resources in disaggregated accelerators include an accelerator. The accelerator includes acceleration circuitry with multiple logic portions, each capable of executing a different workload. Additionally, the accelerator includes communication circuitry to receive a workload to be executed by a logic portion of the accelerator and a dynamic resource allocation logic unit to identify a resource utilization threshold associated with one or more shared resources of the accelerator to be used by a logic portion in the execution of the workload, limit, as a function of the resource utilization threshold, the utilization of the one or more shared resources by the logic portion as the logic portion executes the workload, and subsequently adjust the resource utilization threshold as the workload is executed. Other embodiments are also described and claimed.

Abstract: Disclosed herein are embodiments related to security in cloudlet environments. In some embodiments, for example, a computing device (e.g., a cloudlet) may include: a trusted execution environment; a Basic Input/Output System (BIOS) to request a Key Encryption Key (KEK) from the trusted execution environment; and a Self-Encrypting Storage (SES) associated with the KEK; wherein the trusted execution environment is to verify the BIOS and provide the KEK to the BIOS subsequent to verification of the BIOS, and the BIOS is to provide the KEK to the SES to unlock the SES for access by the trusted execution environment.

Abstract: An apparatus is described. The apparatus includes a host side interface to couple to one or more central processing units (CPUs) that support multiple microservice endpoints. The apparatus includes a network interface to receive from a network a packet having multiple frames that belong to different streams, the multiple frames formatted according to a text transfer protocol. The apparatus includes circuitry to: process the frames according to the text transfer protocol and build content of a microservice functional call embedded within a message that one of the frames transports; and, execute the microservice function call.

Abstract: A network interface device connects to one or more endpoint devices and a network. The network interface device receives packet from the network and parses the packet to determine characteristics of the packet, where the packet includes serialized data according to a serialization format. Based on the characteristics, the network interface device determines whether data within the packet can be deserialized using data transformation acceleration hardware provided on the network interface device and which of a plurality of sub-protocols of a multiprotocol interconnect are to be utilized to transport the data to a destination device in the one or more endpoint devices.

Abstract: Disclosed herein are embodiments related to security in cloudlet environments. In some embodiments, for example, a computing device (e.g., a cloudlet) may include: a trusted execution environment; a Basic Input/Output System (BIOS) to request a Key Encryption Key (KEK) from the trusted execution environment; and a Self-Encrypting Storage (SES) associated with the KEK; wherein the trusted execution environment is to verify the BIOS and provide the KEK to the BIOS subsequent to verification of the BIOS, and the BIOS is to provide the KEK to the SES to unlock the SES for access by the trusted execution environment.

Abstract: Technologies for allocating resources of managed nodes to workloads to balance multiple resource allocation objectives include an orchestrator server to receive resource allocation objective data indicative of multiple resource allocation objectives to be satisfied. The orchestrator server is additionally to determine an initial assignment of a set of workloads among the managed nodes and receive telemetry data from the managed nodes. The orchestrator server is further to determine, as a function of the telemetry data and the resource allocation objective data, an adjustment to the assignment of the workloads to increase an achievement of at least one of the resource allocation objectives without decreasing an achievement of another of the resource allocation objectives, and apply the adjustments to the assignments of the workloads among the managed nodes as the workloads are performed. Other embodiments are also described and claimed.

Abstract: Technologies for providing efficient migration of services include a server device. The server device includes compute engine circuitry to execute a set of services on behalf of a terminal device and migration accelerator circuitry. The migration accelerator circuitry is to determine whether execution of the services is to be migrated from an edge station in which the present server device is located to a second edge station in which a second server device is located, determine a prioritization of the services executed by the server device, and send, in response to a determination that the services are to be migrated and as a function of the determined prioritization, data utilized by each service to the second server device of the second edge station to migrate the services. Other embodiments are also described and claimed.

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.

Abstract: Methods, apparatus, and software and for hardware microservices accelerated in other processing units (XPUs). The apparatus may be a platform including a System on Chip (SOC) and an XPU, such as a Field Programmable Gate Array (FPGA). The FPGA is configured to implement one or more Hardware (HW) accelerator functions associated with HW microservices. Execution of microservices is split between a software front-end that executes on the SOC and a hardware backend comprising the HW accelerator functions. The software front-end offloads a portion of a microservice and/or associated workload to the HW microservice backend implemented by the accelerator functions. An XPU or FPGA proxy is used to provide the microservice front-ends with shared access to HW accelerator functions, and schedules/multiplexes access to the HW accelerator functions using, e.g., telemetry data generated by the microservice front-ends and/or the HW accelerator functions.

Abstract: Disclosed herein are embodiments related to security in cloudlet environments. In some embodiments, for example, a computing device (e.g., a cloudlet) may include: a trusted execution environment; a Basic Input/Output System (BIOS) to request a Key Encryption Key (KEK) from the trusted execution environment; and a Self-Encrypting Storage (SES) associated with the KEK; wherein the trusted execution environment is to verify the BIOS and provide the KEK to the BIOS subsequent to verification of the BIOS, and the BIOS is to provide the KEK to the SES to unlock the SES for access by the trusted execution environment.

Abstract: 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.

Abstract: Examples described herein relate to prefetching content from a remote memory device to a memory tier local to a higher level cache or memory. An application or device can indicate a time availability for data to be available in a higher level cache or memory. A prefetcher used by a network interface can allocate resources in any intermediary network device in a data path from the remote memory device to the memory tier local to the higher level cache. Memory access bandwidth, egress bandwidth, memory space in any intermediary network device can be allocated for prefetch of content. In some examples, proactive prefetch can occur for content expected to be prefetched but not requested to be prefetched.

Abstract: A network processing device connects to one or more devices in a computing node and connects to one or more other network processing devices of other computing nodes. The network processing device identifies a policy for allowing devices in other computing nodes to access a particular resource of one of the devices in its computing node. The network processing device receives an access request to access the particular resource from another network processing device and sends a request to the device hosting the particular resource based on the access request and the policy.

Abstract: In a server system, a host computing platform can have a processing unit separate from the host processor to detect and respond to failure of the host processor. The host computing platform includes a memory to store data for the host processor. The processing unit has an interface to the host processor and the memory and an interface to a network external to the host processor and has access to the memory. In response to detection of failure of the host processor, the processing unit migrates data from the memory to another memory or storage.

Abstract: Technologies for providing efficient migration of services include a server device. The server device includes compute engine circuitry to execute a set of services on behalf of a terminal device and migration accelerator circuitry. The migration accelerator circuitry is to determine whether execution of the services is to be migrated from an edge station in which the present server device is located to a second edge station in which a second server device is located, determine a prioritization of the services executed by the server device, and send, in response to a determination that the services are to be migrated and as a function of the determined prioritization, data utilized by each service to the second server device of the second edge station to migrate the services. Other embodiments are also described and claimed.