In one embodiment, a method for FPGA accelerated serverless computing comprises receiving, from a user, a definition of a serverless computing task comprising one or more functions to be executed. A task scheduler performs an initial placement of the serverless computing task to a first host determined to be a first optimal host for executing the serverless computing task. The task scheduler determines a supplemental placement of a first function to a second host determined to be a second optimal host for accelerating execution of the first function, wherein the first function is not able to accelerated by one or more FPGAs in the first host. The serverless computing task is executed on the first host and the second host according to the initial placement and the supplemental placement.

Disclosed is a method for designing an application task architecture for an electronic control unit based on an AUTOSAR operating system that is adaptable to a plurality of microcontrollers. Prior to association with a microcontroller, the method involves developing the application task architecture by using at least one virtual core different from the one or more cores of the microcontroller, the various tasks being assigned respectively to the at least one virtual core, and associating the at least one virtual core with the one or more cores of the microcontroller so as to allocate tasks assigned to the at least one virtual core to the core or among the cores of the microcontroller.

A system on a chip may include a plurality of data plane processor cores sharing a common instruction set architecture. At least one of the data plane processor cores is specialized to perform a particular function via extensions to the otherwise common instruction set architecture. Such systems on a chip may have reduced physical complexity, cost, and time-to-market, and may provide improvements in core utilization and reductions in system power consumption.

A resource migration method includes obtaining virtual resource utilization of a virtual machine, inputting the virtual resource utilization of the virtual machine into an identification model, determining a resource type of the virtual machine, obtaining physical resource utilization of the at least one physical host, inputting the physical resource utilization of the at least one physical host into the identification model, determining a resource type of each of the at least one physical host, and migrating the virtual machine to one of the at least one physical host based on the resource type of the virtual machine and the resource type of each of the at least one physical host.

The present disclosure relates to systems, methods, and computer readable media that utilize a low-impact live-migration system to reduce unfavorable impacts caused as a result of live-migrating computing containers between physical server devices of a cloud computing system. For example, systems disclosed herein evaluates characteristics of computing containers on server devices to determine a predicted unfavorable impact of live-migrating the computing containers between the server devices. Based on the predicted impact, the systems disclosed herein can selectively identify which computing containers to live-migrate as well as carry out live-migration of the select computing containers in such a way the significantly reduces unfavorable impacts to a customer or client device associated with the computing containers.

A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services including cloud workload cost.

Migrating workloads between a plurality of execution environments, including: identifying, in dependence upon on characteristics of a workload, one or more execution environments that can support the workload; determining, for each execution environment, costs associated with supporting the workload on the execution environment; selecting, in dependence upon the costs associated with supporting the workload on each the execution environments, a target execution environment for supporting the workload; and executing the workload on the target execution environment.

Embodiments described herein provide techniques enable a graphics processor to continue processing operations during the reset of a compute unit that has experienced a hardware fault. Threads and associated context state for a faulted compute unit can be migrated to another compute unit of the graphics processor and the faulting compute unit can be reset while processing operations continue.

A method may include receiving, by a privileged component executed by a processing device, bytecode of a packet processing component from an unprivileged component executed by the processing device, analyzing, by the privileged component, the bytecode of the packet processing component to identify whether the bytecode comprises a first command that returns a redirect, analyzing, by the privileged component, the bytecode of the packet processing component to identify whether the bytecode comprises a second command that returns a runtime computed value, and responsive to determining that the bytecode comprises the first command or the second command, setting a redirect flag maintained by the privileged component.

Disclosed are various embodiments for optimizing the migration of pages of memory servers in cluster memory systems. To begin, a computing device can mark in a page table of the computing device that a page stored on a first memory host is not present. Then, the computing device can flush a translation lookaside buffer of the computing device. Next, the computing device can copy the page from the first memory host to a second memory host. Moving on, the computing device can update a page mapping table to reflect that the page is stored in the second memory host. Then, the computing device can mark in the page table of the computing device that the page stored in the second memory host is present. Subsequently, the computing device can discard the page stored on the first memory host.