Abstract: Method and system for performing data movement operations is described herein. One embodiment of a method includes: storing data for a first memory address in a cache line of a memory of a first processing unit, the cache line associated with a coherency state indicating that the memory has sole ownership of the cache line; decoding an instruction for execution by a second processing unit, the instruction comprising a source data operand specifying the first memory address and a destination operand specifying a memory location in the second processing unit; and responsive to executing the decoded instruction, copying data from the cache line of the memory of the first processing unit as identified by the first memory address, to the memory location of the second processing unit, wherein responsive to the copy, the cache line is to remain in the memory and the coherency state is to remain unchanged.

Abstract: There is disclosed in one example a computing apparatus, including: a processor; a multilevel cache including a plurality of cache levels; a peripheral device configured to write data directly to a directly writable cache; and a cache monitoring circuit, including cache counters La to be incremented when a cache line is allocated into the directly writable cache, Lp to be incremented when a cache line is processed by the processor and deallocated from the directly writable cache, and Le to be incremented when a cache line is evicted from the directly writable cache to the memory, wherein the cache monitoring circuit is to determine a direct write policy according to the cache counters.

Abstract: Technologies for providing multi-tenant support in edge resources using edge channels include a device that includes circuitry to obtain a message associated with a service provided at the edge of a network. Additionally, the circuitry is to identify an edge channel based on metadata associated with the message. The edge channel has a predefined amount of resource capacity allocated to the edge channel to process the message. Further, the circuitry is to determine the predefined amount of resource capacity allocated to the edge channel and process the message using the allocated resource capacity for the identified edge channel.

Abstract: Technologies for dynamically allocating resources within a self-managed node include a self-managed node to receive quality of service objective data indicative of a performance objective of one or more workloads assigned to the self-managed node. Each workload includes one or more tasks. The self-managed node is also to execute the one or more tasks to perform the one or more workloads, obtain telemetry data as the workloads are performed, determine, as a function of the telemetry data, an adjustment to the allocation of resources among the workloads to satisfy the performance objective, and apply the determined adjustment as the workloads are performed by the self-managed node. Other embodiments are also described and claimed.

Abstract: In accordance with some embodiments, a cloud service provider may operate a data center in a way that dynamically reallocates resources across nodes within the data center based on both utilization and service level agreements. In other words, the allocation of resources may be adjusted dynamically based on current conditions. The current conditions in the data center may be a function of the nature of all the current workloads. Instead of simply managing the workloads in a way to increase overall execution efficiency, the data center instead may manage the workload to achieve quality of service requirements for particular workloads according to service level agreements.

Abstract: A heterogeneous processor architecture and a method of booting a heterogeneous processor is described. A processor according to one embodiment comprises: a set of large physical processor cores; a set of small physical processor cores having relatively lower performance processing capabilities and relatively lower power usage relative to the large physical processor cores; and a package unit, to enable a bootstrap processor. The bootstrap processor initializes the homogeneous physical processor cores, while the heterogeneous processor presents the appearance of a homogeneous processor to a system firmware interface.

Abstract: Devices and techniques for out-of-band platform tuning and configuration are described herein. A device can include a telemetry interface to a telemetry collection system and a network interface to network adapter hardware. The device can receive platform telemetry metrics from the telemetry collection system, and network adapter silicon hardware statistics over the network interface, to gather collected statistics. The device can apply a heuristic algorithm using the collected statistics to determine processing core workloads generated by operation of a plurality of software systems communicatively coupled to the device. The device can provide a reconfiguration message to instruct at least one software system to switch operations to a different processing core, responsive to detecting an overload state on at least one processing core, based on the processing core workloads. Other embodiments are also described.

Abstract: Examples provide an application program interface or manner of negotiating locking or pinning or unlocking or unpinning of a cache region by which an application, software, or hardware. A cache region can be part of a level-1, level-2, lower or last level cache (LLC), or translation lookaside buffer (TLB) are locked (e.g., pinned) or unlocked (e.g., unpinned). A cache lock controller can respond to a request to lock or unlock a region of cache or TLB by indicating that the request is successful or not successful. If a request is not successful, the controller can provide feedback indicating one or more aspects of the request that are not permitted. The application, software, or hardware can submit another request, a modified request, based on the feedback to attempt to lock a portion of the cache or TLB.

Abstract: Examples are described herein that can be used to offload a sequence of work events to one or more accelerators to a work scheduler. An application can issue a universal work descriptor to a work scheduler. The universal work descriptor can specify a policy for scheduling and execution of one or more work events. The universal work descriptor can refer to one or more work events for execution. The work scheduler can, in some cases, perform translation of the universal work descriptor or a work event descriptor for compatibility and execution by an accelerator. The application can receive notice of completion of the sequence of work from the work scheduler or an accelerator.

Abstract: Apparatus and methods implementing a hardware queue management device for reducing inter-core data transfer overhead by offloading request management and data coherency tasks from the CPU cores. The apparatus include multi-core processors, a shared L3 or last-level cache (“LLC”), and a hardware queue management device to receive, store, and process inter-core data transfer requests. The hardware queue management device further comprises a resource management system to control the rate in which the cores may submit requests to reduce core stalls and dropped requests. Additionally, software instructions are introduced to optimize communication between the cores and the queue management device.

Abstract: Technologies for managing telemetry and sensor data on an edge networking platform are disclosed. According to one embodiment disclosed herein, a device monitors telemetry data associated with multiple services provided in the edge networking platform. The device identifies, for each of the services and as a function of the associated telemetry data, one or more service telemetry patterns. The device generates a profile including the identified service telemetry patterns.

Abstract: Technologies for analyzing and optimizing workloads (e.g., virtual network functions) executing on edge resources are disclosed. According to one embodiment disclosed herein, a compute device launches a virtualized system including a virtual network function and a performance manager, the performance manager to monitor a current resource usage of the virtual network function as a function of a performance profile. The compute device determines, in response to a determination that one or more quality-of-service (QoS) requirements is not satisfied, whether one or more resources from the platform are available for satisfying the QoS requirements. The compute device receives, in response to a determination that the one or more resources are available for satisfying the QoS requirements, the one or more resources and updates the performance profile as a function of the received resources.

Abstract: In one embodiment, a processor includes: a plurality of cores each to independently execute instructions; a shared cache memory coupled to the plurality of cores and having a plurality of clusters each associated with one or more of the plurality of cores; a plurality of cache activity monitors each associated with one of the plurality of clusters, where each cache activity monitor is to monitor one or more performance metrics of the corresponding cluster and to output cache metric information; a plurality of thermal sensors each associated with one of the plurality of clusters and to output thermal information; and a logic coupled to the plurality of cores to receive the cache metric information from the plurality of cache activity monitors and the thermal information and to schedule one or more threads to a selected core based at least in part on the cache metric information and the thermal information for the cluster associated with the selected core. Other embodiments are described and claimed.

Abstract: Examples may include techniques to coordinate the sharing of resources among virtual elements, including service chains, supported by a shared pool of configurable computing resources based on relative priority among the virtual element and service chains. Information including indications of the performance of the service chains and also the relative priority of the service chains may be received. The resource allocation of portions of the shared pool of configurable computing resources supporting the service chains can be adjusted based on the received performance and priority information.

Abstract: An architecture to perform resource management among multiple network nodes and associated resources is disclosed. Example resource management techniques include those relating to: proactive reservation of edge computing resources; deadline-driven resource allocation; speculative edge QoS pre-allocation; and automatic QoS migration across edge computing nodes.

Abstract: A device of a service coordinating entity includes communications circuitry to communicate with a plurality of access networks via a corresponding plurality of network function virtualization (NFV) instances, processing circuitry, and a memory device. The processing circuitry is to perform operations to monitor stored performance metrics for the plurality of NFV instances. Each of the NFV instances is instantiated by a corresponding scheduler of a plurality of schedulers on a virtualization infrastructure of the service coordinating entity. A plurality of stored threshold metrics is retrieved, indicating a desired level for each of the plurality of performance metrics. A threshold condition is detected for at least one of the performance metrics for an NFV instance of the plurality of NFV instances, based on the retrieved plurality of threshold metrics. A hardware resource used by the NFV instance to communicate with an access network is adjusted based on the detected threshold condition.

Abstract: Processors and methods implementing a machine instruction to perform cache line demotion on multiple cache lines to enable efficient sharing of cache lines between processor cores. One general aspect includes a processor comprising: a plurality of hardware processor cores, where each of the hardware processor cores to include a first cache. The processor also includes a second cache, communicatively coupled to and shared by the plurality of hardware processor cores. The processor to support a first machine instruction, the first machine instruction to include a vector register operand identifying a vector register which contains a plurality of data elements each used to identify a cache line. An execution of the first machine instruction by one of the plurality of hardware processor cores to cause a plurality of identified cache lines to be demoted, such that the demoted cache lines are moved from the first cache to the second cache.

Abstract: Apparatus, method, and system for implementing a software-transparent hardware predictor for core-to-core data communication optimization are described herein. An embodiment of the apparatus includes a plurality of hardware processor cores each including a private cache; a shared cache that is communicatively coupled to and shared by the plurality of hardware processor cores; and a predictor circuit. The predictor circuit is to track activities relating to a plurality of monitored cache lines in the private cache of a producer hardware processor core (producer core) and to enable a cache line push operation upon determining a target hardware processor core (target core) based on the tracked activities. An execution of the cache line push operation is to cause a plurality of unmonitored cache lines in the private cache of the producer core to be moved to the private cache of the target core.

Abstract: A central processing unit can offload table lookup or tree traversal to an offload engine. The offload engine can provide hardware accelerated operations such as instruction queueing, bit masking, hashing functions, data comparisons, a results queue, and a progress tracking. The offload engine can be associated with a last level cache. In the case of a hash table lookup, the offload engine can apply a hashing function to a key to generate a signature, apply a comparator to compare signatures against the generated signature, retrieve a key associated with the signature, and apply the comparator to compare the key against the retrieved key. Accordingly, a data pointer associated with the key can be provided in the result queue. Acceleration of operations in tree traversal and tuple search can also occur.

Abstract: Technologies for providing efficient sharing of encrypted data in a disaggregated architecture include a sled. The sled includes a set of memory devices and a controller connected to the set of memory devices. The memory controller is to receive, from a first application executed by a compute sled, a data access request to share a data set between the first application and a second application. The data set is encrypted in one or more of the memory devices. Additionally, the controller is to determine, in response to the data access request, a key identifier that uniquely identifies a key that is usable to perform cryptographic operations on the data set. Further, the controller is to send, to an encryption key manager, a request to provide the key corresponding to the key identifier to be used by the second application to decrypt the data set and send, to the second application, a handle associated with an address in the set of memory devices where the data set is located.