Intel Corporation

Uzair Qureshi

Ned M Smith

Kshitij Arun Doshi

Francesc Guim Bernat

Timothy Verrall

Lokpraveen B Mosur

Patrick Fleming

Stephen Doyle

Brian A Keating

Karthik Kumar

Suraj Prabhakaran

Stephen T Palermo

Srihari Makineni

Neelam Chandwani

Shrikant M Shah

Rajesh Gadiyar

Pinkesh J Shah

Shubha Bommalingaiahnapallya

Rany ElSayed

A computing device includes a direct memory access (DMA) engine coupled to a memory, a network interface, and processing circuitry. The processing circuitry is to perform a secure exchange with a second computing device to negotiate a shared encryption key, based on a request for data received via the network interface from the second computing device. The DMA engine is to retrieve the data from a storage location based on an encryption command. The encryption command indicates the storage location. The DMA engine is to encrypt the data based on the shared encryption key to generate encrypted data, and store the encrypted data in the memory.

Cryptographic data processing using a DMA engine

An example apparatus includes a workload analyzer to determine an application ratio associated with the workload, the application ratio based on an operating frequency to execute the workload, a hardware configurator to configure, before execution of the workload, at least one of (i) one or more cores of the processor circuitry based on the application ratio or (ii) uncore logic of the processor circuitry based on the application ratio, and a hardware controller to initiate the execution of the workload with the at least one of the one or more cores or the uncore logic.

Systems, methods, and apparatus for workload optimized central processing units (CPUS)

Methods, systems, and use cases for one-touch inline cryptographic data security are discussed, including an edge computing device with a network communications circuitry (NCC), an enhanced DMA engine coupled to a memory device and including a cryptographic engine, and processing circuitry configured to perform a secure exchange with a second edge computing device to negotiate a shared symmetric encryption key, based on a request for data. An inline encryption command for communication to the enhanced DMA engine is generated. The inline encryption command includes a first address associated with a storage location storing the data, a second address associated with a memory location in the memory device, and the shared symmetric encryption key. The data is retrieved from the storage location using the first address, the data is encrypted using the shared symmetric encryption key, and the encrypted data is stored in the memory location using the second address.

One-touch inline cryptographic data processing

Various approaches for deployment and use of configurable edge computing platforms are described. In an edge computing system, an edge computing device includes hardware resources that can be composed from a configuration of chiplets, as the chiplets are disaggregated for selective use and deployment (for compute, acceleration, memory, storage, or other resources). In an example, configuration operations are performed to: identify a condition for use of the hardware resource, based on an edge computing workload received at the edge computing device; obtain, determine, or identify properties of a configuration for the hardware resource that are available to be implemented with the chiplets, with the configuration enabling the hardware resource to satisfy the condition for use of the hardware resource; and compose the chiplets into the configuration, according to the properties of the configuration, to enable the use of the hardware resource for the edge computing workload.

Modular I/O configurations for edge computing using disaggregated chiplets

Examples described herein relate to management of battery-use by one or more computing resources in the event of a power outage. Data used by one or more computing resources can be backed-up using battery power. Battery power is allocated to data back-up operations based at least on one or more of: criticality level of data, priority of an application that processes the data, or priority level of resource. The computing resource can back-up data to a persistent storage media. The computing resource can store a log of data that is backed-up or not backed-up. The log can be used by the computing resource to access the backed-up data for continuing to process the data and to determine what data is not available for processing.

Priority-based battery allocation for resources during power outage

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Chandler, AZ, United States of America

Uzair Qureshi