Intel Corporation

Johan G Van De Groenendaal

Glenn J Hinton

Per H Hammarlund

Arvind A Kumar

Ahmad Yasin

Mrittika Ganguli

Bharat S Pillilli

Alberto J Munoz

Francesc Guim Bernat

Kshitij Arun Doshi

Matthew James Adiletta

Andrew J Herdrich

Robert F Kwasnick

Susanne M Balle

William Ralph Wheeler

Suraj Prabhakaran

Myles Wilde

Aaron Gorius

Ashish V Choubal

Paul H Dormitzer

Thomas M Slaight

James Steven Burns

Michael F Fallon

Arvind Raman

Chengda Yang

Douglas Carrigan

Jamel Tayeb

Apparatus and methods for booting and using a single CPU socket as a multi-CPU partitioned platform. The single CPU socket includes a plurality of core tiles that a partitioned into a plurality of virtual clusters comprising CPU sub-sockets. Each of the CPU sub-sockets in coupled to an Input-Output (IO) tile having an integrated boot support block and comprising a plurality of IO interfaces including at least one IO interface configured to receive boot signals for booting the sub-sockets and an IO interface to access boot firmware stored in a firmware storage device coupled to the IO interface. The integrated boot support block is configured to facilitate booting of each of the plurality of CPU sub-sockets using a shared set of boot resources coupled to the plurality of IO interfaces.

Booting and using a single CPU socket as a multi-CPU partitioned platform

Examples described herein a firmware update device to execute a second firmware, in place of execution of a first firmware, in response to an instruction that causes the firmware update device to execute the second firmware, wherein the second firmware is copied to a buffer prior to execution of the instruction. In some examples, one or more processors are to execute the instruction that causes the firmware update device to execute the second firmware. In some examples, prior to execution of the instruction, a device root of trust is also to validate the second firmware.

Firmware update technologies

Technologies for attesting a deployment of a workload using a blockchain includes a compute engine that receives a request from a remote device to validate one or more parameters of a managed node composed of one or more sleds. The compute engine retrieves a blockchain associated with the managed node. The blockchain includes one or more blocks, each block including information about the parameters of the managed node. The compute engine validates the blockchain and sends an indication that the blockchain is valid to the requesting device.

Technologies for attesting a deployed workload using blockchain

Examples provided herein provide a manner of monitoring performance characteristics of a central processing unit or other instruction executing hardware device and adjusting settings of the central processing unit or other instruction executing hardware device. Performance characteristics can be gathered and stored in a secure memory or storage device. The performance characteristics can be transmitted to a control center using a provisioned network transceiver that does not rely on an operating system executed by the central processing unit or the hardware platform of the central processing unit. The control center can determine settings that are to be applied by the central processing unit or instruction executing hardware device and transmit the settings for use by the central processing unit or instruction executing hardware device.

Remote modification of processor operating parameters

Technologies for providing certified telemetry data indicative of resource utilizations include a device with circuitry configured to obtain telemetry data indicative of a utilization of one or more device resources over a time period. The circuitry is additionally configured to sign the obtained telemetry data with a private key associated with the present device. Further, the circuitry is configured to send the signed telemetry data to a telemetry service for analysis.

Technologies for providing certified telemetry data indicative of resources utilizations

In one embodiment, a request for telemetry data measured by a plurality of components of a computing platform is received from a computing device. Contextual information associated with the requested telemetry data is provided in a first communication, wherein the contextual information comprises information describing the plurality of components. An instance of the requested telemetry data is provided to the computing device, wherein the telemetry data is provided in a second communication that omits at least a portion of the contextual information describing the plurality of components.

System and method for providing fast platform telemetry data

Technologies for managing the efficiency of workload execution in a managed node include a managed node that includes one or more processors that each include multiple cores. The managed nodes is to execute threads of workloads assigned to the managed node, generate telemetry data indicative of an efficiency of execution of the threads, determine, as a function of the telemetry data, an adjustment to a configuration of the threads among the cores to increase the efficiency of the execution of the threads, and apply the determined adjustment. Other embodiments are also described and claimed.

Technologies for managing the efficiency of workload execution

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.

Technologies for allocating resources within a self-managed node

A method and system for dynamic or run-time reallocation of leakage current and dynamic power supply current of a processor. In one embodiment of the invention, the processor uses the variation in the leakage current of the processor to reduce the maximum current dissipation or power supply current of the processor (ICC). By reducing the maximum current dissipation, the system cost can be reduced as a less expensive power delivery system is required in one embodiment of the invention.

Method and system for run-time reallocation of leakage current and dynamic power supply current

A remotely managed expandable multi-user computer system is provided. The computer system includes a removable compute cartridge and a removable storage cartridge allowing easy upgrade of the computer system. The computer system self-configures when powered on to allow remote management by another system over a network. Automatic failover support is provided without the need for a separate compute element. A self-configurable removable secure-to-wireless converter to couple to a client computer system allows secure communications between the multi-user system and the client computer system via a wireless network.

Method and apparatus for providing a remotely managed expandable computer system

A low cost, low power consumption scalable architecture is provided to allow a computer system to be managed remotely during all system power states. In a lowest power state, power is only applied to minimum logic necessary to examine a network packet. Power is applied for a short period of time to an execution subsystem and one of a plurality of cores selected to handle processing of received service requests. After processing the received service requests, the computer system returns to the lowest power state.

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Portland, OR, United States of America

Johan G Van De Groenendaal