Abstract: Technologies for composing a managed node with multiple processors on multiple compute sleds to cooperatively execute a workload include a memory, one or more processors connected to the memory, and an accelerator. The accelerator further includes a coherence logic unit that is configured to receive a node configuration request to execute a workload. The node configuration request identifies the compute sled and a second compute sled to be included in a managed node. The coherence logic unit is further configured to modify a portion of local working data associated with the workload on the compute sled in the memory with the one or more processors of the compute sled, determine coherence data indicative of the modification made by the one or more processors of the compute sled to the local working data in the memory, and send the coherence data to the second compute sled of the managed node.

Abstract: Examples include updating firmware for a persistent memory module in a computing system during runtime. Examples include copying a new version of persistent memory module firmware into an available area of random-access memory (RAM) in the persistent memory module, and transferring processing of a current version of persistent memory module firmware to the new version of persistent memory module firmware during runtime of the computing system, without a reset of the computing system and without quiesce of access to persistent memory media in the persistent memory module, while continuing to perform critical event handling by the current version of persistent memory module firmware.

Abstract: Technologies for fast boot-up of a compute device with error-correcting code (ECC) memory are disclosed. A basic input/output system (BIOS) of a compute device may assign memory addresses of the ECC memory to different processors on the compute device. The processors may then initialize the ECC memory in parallel by writing to the ECC memory. The processors may write to the ECC memory with direct-store operations that are immediately written to the ECC memory instead of being cached. The BIOS may continue to operation on one processor while the rest of the processors initialize the ECC memory.

Abstract: A microcode (uCode) hot-upgrade method for bare metal cloud deployment and associated apparatus. The uCode hot-upgrade method applies a uCode patch to a firmware storage device (e.g., BIOS SPI flash) through an out-of-band controller (e.g., baseboard management controller (BMC)). In conjunction with receiving a uCode patch, a uCode upgrade interrupt service is triggered to upgrade uCode for one or more CPUs in a bare-metal cloud platform during runtime of a tenant host operating system (OS) using an out-of-bound process. This innovation enables cloud service providers to deploy uCode hot-patches to bare metal servers for persistent storage and live-patch without touching the tenant operating system environment.

Abstract: Systems, apparatuses and methods may provide for technology that exchanges activation information between system firmware and an operating system (OS), wherein the activation information includes one or more of status information, activation state information, capability information, activation time information or quiesce time information. The technology also conducts a runtime upgrade of the device firmware based on the activation information, wherein the runtime upgrade bypasses a reboot of the computing system.

Abstract: A system provides DO-level sparing to spare a fault of a data signal (DQ) line of a memory bus. The data bus has multiple data dynamic random access memory (DRAM) devices and at least one error correction code (ECC) DRAM device coupled to it. An error manager can be in the memory controller or in a platform error controller. The error manager to detect a DQ failure and dynamically switches ECC mode on the fly. The error manager can map out data bits of the DQ and remap ECC bits of the at least one ECC DRAM device to the mapped out data bits of the DQ.

Abstract: Technologies for providing efficient pooling for a system that includes a hyper converged infrastructure. A sled of the system includes a network interface controller that includes a first bridge logic unit to communicatively couple to a network of bridge logic units.

Abstract: Embodiments are generally directed apparatuses, methods, techniques and so forth to receive a sled manifest comprising identifiers for physical resources of a sled, receive results of an authentication and validation operations performed to authenticate and validate the physical resources of the sled, determine whether the results of the authentication and validation operations indicate the physical resources are authenticate or not authenticate. Further and in response to the determination that the results indicate the physical resources are authenticated, permit the physical resources to process a workload, and in response to the determination that the results indicate the physical resources are not authenticated, prevent the physical resources from processing the workload.

Abstract: Mechanisms for out-of-band (OOB) management of Field Programmable Gate Array (FPGA) bitstreams and associated methods, apparatus, systems and firmware. Under a first OOB mechanism, a management component, such as a baseband management controller (BMC) is coupled to a processor including an agent in a compute node that includes an FGPA. An FPGA bitstream file is provided to the BMC, and the agent reads the file from the BMC and streams the FPGA bitstream contents in the file to the FPGA to program it. Under second and third OOB mechanisms, a pointer to an FPGA bitstream file that identifies the location of the file that is accessible via a network or fabric is provided to the BMC or other management entity. The BMC/management entity forwards the pointer to BIOS running on the compute node or an agent on the processor. The BIOS or agent then uses the pointer to retrieve the FPGA bitstream file via the network or fabric, as applicable, and streams the FPGA bitstream to the FPGA to program it.

Abstract: Technologies for providing efficient pooling for a system that includes a hyper converged infrastructure. A sled of the system includes a network interface controller that includes a first bridge logic unit to communicatively couple to a network of bridge logic units. The first bridge logic unit is further to obtain, from a requestor device, a request to access a requested device, determine whether the requested device is on the present sled or on a remote sled different from the present sled, selectively power on, in response to a determination that the requested device is located on the present sled, the requested device, communicate, in response to a determination that the requested device is on the remote sled, with a second bridge logic unit of the remote sled, and provide, to the requestor device through the first bridge logic unit, access to the requested device.

Abstract: Embodiments are generally directed apparatuses, methods, techniques and so forth determine an access level of operation based on an indication received via one or more network links from a pod management controller, and enable or disable a firmware update capability for a firmware device based on the access level of operation, the firmware update capability to change firmware for the firmware device. Embodiments may also include determining one or more configuration settings of a plurality of configuration settings to enable for configuration based on the access level of operation, and enable configuration of the one or more configuration settings.

Abstract: Embodiments are generally directed apparatuses, methods, techniques and so forth to select two or more processing units of the plurality of processing units to process a workload, and configure a circuit switch to link the two or more processing units to process the workload, the two or more processing units each linked to each other via paths of communication and the circuit switch.

Abstract: Technologies for composing a managed node with multiple processors on multiple compute sleds to cooperatively execute a workload include a memory, one or more processors connected to the memory, and an accelerator. The accelerator further includes a coherence logic unit that is configured to receive a node configuration request to execute a workload. The node configuration request identifies the compute sled and a second compute sled to be included in a managed node. The coherence logic unit is further configured to modify a portion of local working data associated with the workload on the compute sled in the memory with the one or more processors of the compute sled, determine coherence data indicative of the modification made by the one or more processors of the compute sled to the local working data in the memory, and send the coherence data to the second compute sled of the managed node.

Abstract: Technologies for composing a managed node with multiple processors on multiple compute sleds to cooperatively execute a workload include a memory, one or more processors connected to the memory, and an accelerator. The accelerator further includes a coherence logic unit that is configured to receive a node configuration request to execute a workload. The node configuration request identifies the compute sled and a second compute sled to be included in a managed node. The coherence logic unit is further configured to modify a portion of local working data associated with the workload on the compute sled in the memory with the one or more processors of the compute sled, determine coherence data indicative of the modification made by the one or more processors of the compute sled to the local working data in the memory, and send the coherence data to the second compute sled of the managed node.

Abstract: Examples described herein relate to a system to estimate latency of operations of a process without receiving a latency value directly based on received performance values and/or estimate throughput of packets transmitted for the process without receiving a throughput value directly based on received performance values. In some examples, the system is to request to adjust resource allocation to perform the process based on the determined latency and throughput.

Abstract: Unified hardware and software two-level memory mechanisms and associated methods, systems, and software. Data is stored on near and far memory devices, wherein an access latency for a near memory device is less than an access latency for a far memory device. The near memory devices store data in data units having addresses in a near memory virtual address space, while the far memory devices store data in data units having addresses in a far memory address space, with a portion of the data being stored on both near and far memory devices. In response to memory read access requests, a determination is made to where data corresponding to the request is located on a near memory device, and if so the data is read from the near memory device; otherwise, the data is read from a far memory device. Memory access patterns are observed, and portions of far memory that are frequently accessed are copied to near memory to reduce access latency for subsequent accesses.

Abstract: Technologies for managing configuration-free platform firmware include a compute device, which further includes a management controller. The management controller is to receive a system configuration request to access a system configuration parameter of the compute device and access the system configuration parameter in response to a receipt of the system configuration request.

Abstract: An apparatus and method are described for detecting and correcting data fetch errors within a processor core. For example, one embodiment of an instruction processing apparatus for detecting and recovering from data fetch errors comprises: at least one processor core having a plurality of instruction processing stages including a data fetch stage and a retirement stage; and error processing logic in communication with the processing stages to perform the operations of: detecting an error associated with data in response to a data fetch operation performed by the data fetch stage; and responsively performing one or more operations to ensure that the error does not corrupt an architectural state of the processor core within the retirement stage.

Abstract: Disclosed techniques include software-defined modular energy system design and operation. A set of energy system plant requirements for a mechanical system is obtained. The mechanical system comprises a plurality of components. The plurality of components includes a liquid piston heat engine. One or more processors are used to optimize a plant description. The plant description is based on the set of energy system plant requirements and a library of components. Processors are used to design a specification for an energy system plant. The specification includes components from the library of components and couplings among the components. An energy system plant design is output based on the specification. The design enables energy system plant construction. The energy system plant design is simulated to enable a reliability analysis and to provide feedback about the plant description. The simulating generates operational controls to enable energy system plant functionality.

Abstract: Technologies for load balancing a storage network include a system. The system includes circuitry to adjust routing rules in a network interface controller to deliver a packet from one of multiple uplinks to one of any physical functions, circuitry to remap, in response to a failure of a switch, a port from one physical function to another physical function, and circuitry to communicate control data between a software defined network controller and one or more agents in one or more host endpoints with a hierarchical distributed hashing table.