Abstract:
Technologies for accelerating edge device workloads at a device edge network include a network computing device which includes a processor platform that includes at least one processor which supports a plurality of non-accelerated function-as-a-service (FaaS) operations and an accelerated platform that includes at least one accelerator which supports a plurality of accelerated FaaS (AFaaS) operation. The network computing device is configured to receive a request to perform a FaaS operation, determine whether the received request indicates that an AFaaS operation is to be performed on the received request, and identify compute requirements for the AFaaS operation to be performed. The network computing device is further configured to select an accelerator platform to perform the identified AFaaS operation and forward the received request to the selected accelerator platform to perform the identified AFaaS operation. Other embodiments are described and claimed.
Abstract:
In some embodiments, a PPM interface may be provided with functionality to facilitate to an OS memory power state management for one or more memory nodes, regardless of a particular platform hardware configuration, as long as the platform hardware is in conformance with the PPM interface.
Abstract:
Described is a computing platform, which comprises: a non-volatile memory having a firmware boot program; and a CPU to execute the firmware boot program when the CPU is reset, the firmware boot program including instructions to create Power and Performance Measurement (PPM) interface data structures including an error injection table structure to provide error injection services to an OS.
Abstract:
In an embodiment, a computing device may include a control unit. The control unit may acquire a request from a central processing unit (CPU), contained in the computing device, that may be executing a basic input/output system (BIOS) associated with the computing device. The request may include a request for a value that may represent a maximum authorized storage size for a storage contained in the computing device. The control unit may generate the value and send the value to the CPU. The CPU may generate a system address map based on the value. The CPU may send the system address map to the control unit which may acquire the system address map and configure an address decoder, contained in the computing device, based on the acquired system address map.
Abstract:
A firmware assisted error handling scheme in a computer system has been disclosed. In one embodiment, firmware is used to access one or more hardware-specific error registers within the computer system in response to a system management interrupt (SMI) trap. Using the firmware, an error record in a common error record format is constructed. The error record is made available to an operating system (OS) within the computer system.
Abstract:
A computing system can include a platform firmware to monitor hardware errors and to notify an operating system when a corrective action is to be performed to address a hardware error. The computing system can also include an extended error log to describe a hardware error. The computing system can further include an action record to direct the operating system to perform the corrective action to address the hardware error.
Abstract:
Methods, apparatus, systems, and articles of manufacture to perform a pseudo-S3 protocol to update firmware and/or activate new firmware with a warm reset are disclosed. An example apparatus includes an advanced configuration and power interface (ACPI) to: initiate a pseudo-sleep event in response to identifying a firmware update; and assert a power button event, the power button event to cause an operating system (OS) to prepare to enter into a sleep state; a basic input/output system (BIOS) to: initiate a warm reset in response to the OS preparing to enter the sleep state, the warm reset to update firmware according to the firmware update; and transmit a wake vector to the OS to continue operation.
Abstract:
Methods, apparatus, systems, and articles of manufacture to perform a pseudo-S3 protocol to update firmware and/or activate new firmware with a warm reset are disclosed. An example apparatus includes an advanced configuration and power interface (ACPI) to: initiate a pseudo-sleep event in response to identifying a firmware update; and assert a power button event, the power button event to cause an operating system (OS) to prepare to enter into a sleep state; a basic input/output system (BIOS) to: initiate a warm reset in response to the OS preparing to enter the sleep state, the warm reset to update firmware according to the firmware update; and transmit a wake vector to the OS to continue operation.
Abstract:
Technologies for accelerating edge device workloads at a device edge network include a network computing device which includes a processor platform that includes at least one processor which supports a plurality of non-accelerated function-as-a-service (FaaS) operations and an accelerated platform that includes at least one accelerator which supports a plurality of accelerated FaaS (AFaaS) operation. The network computing device is configured to receive a request to perform a FaaS operation, determine whether the received request indicates that an AFaaS operation is to be performed on the received request, and identify compute requirements for the AFaaS operation to be performed. The network computing device is further configured to select an accelerator platform to perform the identified AFaaS operation and forward the received request to the selected accelerator platform to perform the identified AFaaS operation. Other embodiments are described and claimed.
Abstract:
Technologies for accelerating edge device workloads at a device edge network include a network computing device which includes a processor platform that includes at least one processor which supports a plurality of non-accelerated function-as-a-service (FaaS) operations and an accelerated platform that includes at least one accelerator which supports a plurality of accelerated FaaS (AFaaS) operation. The network computing device is configured to receive a request to perform a FaaS operation, determine whether the received request indicates that an AFaaS operation is to be performed on the received request, and identify compute requirements for the AFaaS operation to be performed. The network computing device is further configured to select an accelerator platform to perform the identified AFaaS operation and forward the received request to the selected accelerator platform to perform the identified AFaaS operation. Other embodiments are described and claimed.