Abstract:
Methods, apparatus, systems and articles of manufacture are disclosed to improve computing resource utilization. An example apparatus includes an application specific sensor (AS) to monitor a workload of a platform, the workload executing on at least one general purpose central processing unit (CPU) of the platform, and a dynamic deployment module (DDM) to: in response to a workload performance threshold being satisfied, identify a bit stream capable of configuring a field programmable gate array (FPGA) to execute the workload, and configure the FPGA via the bit stream to execute at least a portion of the workload.
Abstract:
Methods, apparatus, systems and articles of manufacture are disclosed to improve computing resource utilization. An example apparatus includes an application specific sensor (AS) to monitor a workload of a platform, the workload executing on at least one general purpose central processing unit (CPU) of the platform, and a dynamic deployment module (DDM) to: in response to a workload performance threshold being satisfied, identify a bit stream capable of configuring a field programmable gate array (FPGA) to execute the workload, and configure the FPGA via the bit stream to execute at least a portion of the workload.
Abstract:
Hardware processors and methods to perform self-monitoring diagnostics to predict and detect failure are described. In one embodiment, a hardware processor includes a plurality of cores, and a diagnostic hardware unit to isolate a core of the plurality of cores at run-time, perform a stress test on an isolated core, determine a stress factor from a result of the stress test, and store the stress factor in a data storage device.
Abstract:
The present disclosure is directed to enhanced virtual function capabilities in a virtualized network environment. In general, devices may comprise physical and virtualized resources. The physical resources may comprise at least a network adaptor that may handle incoming data from a network and outgoing data to the network. The virtualized resources may comprise at least one virtual machine (VM) and a corresponding interface. The corresponding interface may be one of a physical interface, a virtual interface or a “super” virtual interface. The physical interface may provide a first set of capabilities allowing the VM to access (e.g., control) at least the network adaptor. The virtual interface may provide a second set of capabilities that is a subset of the first set. The super virtual interface may provide a third set of capabilities including the second set of capabilities and at least one additional capability from the first set of capabilities.
Abstract:
Methods and Apparatus for Multi-Stage VM Virtual Network Function and Virtual Service Function Chain Acceleration for NFV and needs-based hardware acceleration. Compute platform hosting virtualized environments including virtual machines (VMs) running service applications performing network function virtualization (NFV) employ Field Programmable Gate Array (FPGA) to provide a hardware-based fast path for performing VM-to-VM and NFV-to-NFV transfers. The FPGAs, along with associated configuration data are also configured to support dynamic assignment and performance of hardware-acceleration to offload processing tasks from processors in virtualized environments, such as cloud data centers and the like.
Abstract:
Methods, apparatus, systems and articles of manufacture are disclosed to improve computing resource utilization. An example apparatus includes an application specific sensor (AS) to monitor a workload of a platform, the workload executing on at least one general purpose central processing unit (CPU) of the platform, and a dynamic deployment module (DDM) to: in response to a workload performance threshold being satisfied, identify a bit stream capable of configuring a field programmable gate array (FPGA) to execute the workload, and configure the FPGA via the bit stream to execute at least a portion of the workload.
Abstract:
Discussed herein are component redundancy systems, devices, and methods. A method to transfer a workload from a first component to a second component of a same device may include monitoring a wear indicator associated with the first component, and in response to an indication that the first component is stressed based on the wear indicator, transferring a workload of the first component to the second component.
Abstract:
The present disclosure is directed to enhanced virtual function capabilities in a virtualized network environment. In general, devices may comprise physical and virtualized resources. The physical resources may comprise at least a network adaptor that may handle incoming data from a network and outgoing data to the network. The virtualized resources may comprise at least one virtual machine (VM) and a corresponding interface. The corresponding interface may be one of a physical interface, a virtual interface or a “super” virtual interface. The physical interface may provide a first set of capabilities allowing the VM to access (e.g., control) at least the network adaptor. The virtual interface may provide a second set of capabilities that is a subset of the first set. The super virtual interface may provide a third set of capabilities including the second set of capabilities and at least one additional capability from the first set of capabilities.
Abstract:
Methods, apparatus, systems and articles of manufacture are disclosed to improve computing resource utilization. An example apparatus includes an application specific sensor (AS) to monitor a workload of a platform, the workload executing on at least one general purpose central processing unit (CPU) of the platform, and a dynamic deployment module (DDM) to: in response to a workload performance threshold being satisfied, identify a bit stream capable of configuring a field programmable gate array (FPGA) to execute the workload, and configure the FPGA via the bit stream to execute at least a portion of the workload.
Abstract:
Discussed herein are component redundancy systems, devices, and methods. A method to transfer a workload from a first component to a second component of a same device may include monitoring a wear indicator associated with the first component, and in response to an indication that the first component is stressed based on the wear indicator, transferring a workload of the first component to the second component.