Abstract: A method and system for dynamic distributed data caching is presented. The system includes one or more peer members and a master member. The master member and the one or more peer members form cache community for data storage. The master member is operable to select one of the one or more peer members to become a new master member. The master member is operable to update a peer list for the cache community by removing itself from the peer list. The master member is operable to send a nominate master message and an updated peer list to a peer member selected by the master member to become the new master member.

Abstract: A method and system for dynamic distributed data caching is presented. The system includes one or more peer members and a master member. The master member and the one or more peer members form cache community for data storage. The master member is operable to select one of the one or more peer members to become a new master member. The master member is operable to update a peer list for the cache community by removing itself from the peer list. The master member is operable to send a nominate master message and an updated peer list to a peer member selected by the master member to become the new master member.

Abstract: The present disclosure relates to a method, system, and apparatus for configuring a computing system, such as a cloud computing system. A method includes, based on user selections received via a user interface, configuring a cluster of nodes by selecting the cluster of nodes from a plurality of available nodes, selecting a workload container module from a plurality of available workload container modules for operation on each node of the selected cluster of nodes, and selecting a workload for execution with the workload container on the cluster of nodes. Each node of the cluster of nodes includes at least one processing device and memory, and the cluster of nodes is operative to share processing of a workload.

Abstract: Methods and systems are provided for generating a benchmark representative of a reference process. One method involves obtaining execution information for a subset of the plurality of instructions of the reference process from a pipeline of a processing module during execution of those instructions by the processing module, determining performance characteristics quantifying the execution behavior of the reference process based on the execution information, and generating the benchmark process that mimics the quantified execution behavior of the reference process based on the performance characteristics.

Abstract: When requested content is available at a data center, the data center returns the requested content to the data center. When the requested content is locally unavailable at the data center, the requested content is retrieved from an origin server. The retrieval of the content from the origin server may be delayed based on the processing load at the origin server. When retrieval of the content is delayed, the request is prioritized and placed in a queue for handling by the origin server based on the priority of the request. Also, when retrieval of the content is delayed, a status page may be communicated to the browser to inform a user of the delay and provide alternate content and status information related to the request determined as a function of the request or the current state of the origin server.

Abstract: A system and method for efficient automatic scheduling of the execution of work units between multiple heterogeneous processor cores. A processing node includes a first processor core with a general-purpose micro-architecture and a second processor core with a single instruction multiple data micro-architecture. A computer program comprises one or more compute kernels, or function calls. A compiler computes pre-runtime information of the given function call. A runtime scheduler produces one or more work units by matching each of the one or more kernels with an associated record of data. The scheduler assigns work units either to the first or to the second processor core based at least in part on the computed pre-runtime information. In addition, the scheduler is able to change an original assignment for a waiting work unit based on dynamic runtime behavior of other work units corresponding to a same kernel as the waiting work unit.

Abstract: A data center (14) receives a request (22) for content from a browser (12) on a client (11). The data center determines whether the requested content is available at the data center. The content is available when the content is both present at the data center and current. The content may be expired and marked as non-available in response to an expiration command (24). When the requested content is available at the data center, the data center returns the requested content to the data center. When the requested content is locally unavailable at the data center, the requested content is retrieved from an origin server (18). The retrieval of the content from the origin server may be delayed based on the processing load at the origin server. When retrieval of the content is delayed, the request is prioritized and placed in a queue for handling by the origin server based on the priority of the request.

Abstract: Provided herein is a method for optimizing communication for system calls. The method includes storing a system call for each work item in a wavefront and transmitting said stored system calls to a processor for execution. The method also includes receiving a result to each work item in the wavefront responsive to said transmitting.

Abstract: When requested content is available at a data center, the data center returns the requested content to the data center. When the requested content is locally unavailable at the data center, the requested content is retrieved from an origin server. The retrieval of the content from the origin server may be delayed based on the processing load at the origin server. When retrieval of the content is delayed, the request is prioritized and placed in a queue for handling by the origin server based on the priority of the request. Also, when retrieval of the content is delayed, a status page may be communicated to the browser to inform a user of the delay and provide alternate content and status information related to the request determined as a function of the request or the current state of the origin server.

Abstract: Systems and methods are provided that utilize non-shared page tables to allow an accelerator device to share physical memory of a computer system that is managed by and operates under control of an operating system. The computer system can include a multi-core central processor unit. The accelerator device can be, for example, an isolated core processor device of the multi-core central processor unit that is sequestered for use independently of the operating system, or an external device that is communicatively coupled to the computer system.

Abstract: A system and method for automatically migrating the execution of work units between multiple heterogeneous cores. A computing system includes a first processor core with a single instruction multiple data micro-architecture and a second processor core with a general-purpose micro-architecture. A compiler predicts execution of a function call in a program migrates at a given location to a different processor core. The compiler creates a data structure to support moving live values associated with the execution of the function call at the given location. An operating system (OS) scheduler schedules at least code before the given location in program order to the first processor core. In response to receiving an indication that a condition for migration is satisfied, the OS scheduler moves the live values to a location indicated by the data structure for access by the second processor core and schedules code after the given location to the second processor core.

Abstract: A data center determines whether requested content is available at the data center. The content is available when the content is both present at the data center and current. When the requested content is available at the data center, the data center returns the requested content to the browser. When the requested content is locally unavailable at the data center, the requested content is retrieved from an origin server. When retrieval of the content is delayed, the request is prioritized and placed in a queue for handling by the origin server based on the priority of the request. A status page may be communicated to the browser to inform a user of the delay and provide alternate content and status information related to the request determined as a function of the request or the current state of the origin server.

Abstract: A system, method and article of manufacture for an accelerated processing device (APD) to request a central processing unit (CPU) to process a task, comprising enqueuing a plurality of tasks on a queue using the APD, generating a user-level interrupt and transmitting to the CPU the plurality of tasks in the queue using an interrupt handler associated with a CPU thread.

Abstract: A method and system for dynamic distributed data caching is presented. The system includes one or more peer members and a master member. The master member and the one or more peer members form cache community for data storage. The master member is operable to select one of the one or more peer members to become a new master member. The master member is operable to update a peer list for the cache community by removing itself from the peer list. The master member is operable to send a nominate master message and an updated peer list to a peer member selected by the master member to become the new master member.

Abstract: The present disclosure relates to a method and system for configuring a computing system, such as a cloud computing system. A method includes determining, based on a shared execution of a workload by a cluster of nodes of the computing system, that at least one node of the cluster of nodes operated at less than a threshold operating capacity during the shared execution of the workload. The method further includes selecting a modified hardware configuration of the cluster of nodes based on the determining such that the cluster of nodes with the modified hardware configuration has at least one of a reduced computing capacity and a reduced storage capacity.

Abstract: The present disclosure relates to a method and system for configuring a computing system, such as a cloud computing system. A method includes providing a user interface comprising selectable boot-time configuration data and selecting, based on at least one user selection of the boot-time configuration data, a boot-time configuration for at least one node of a cluster of nodes of the computing system. The method further includes configuring the at least one node of the cluster of nodes with the selected boot-time configuration to modify at least one boot-time parameter of the at least one node.

Abstract: The present disclosure relates to a method and system for configuring a computing system, such as a cloud computing system. A method includes initiating a plurality of executions of a workload on a cluster of nodes based on a plurality of different sets of configuration parameters. The configuration parameters include at least one of an operational parameter of a workload container, a boot-time parameter of at least one node, and a hardware configuration parameter of at least one node. A set of configuration parameters is selected for the cluster of nodes from the plurality of different sets of configuration parameters based on a comparison of at least one performance characteristic of the cluster of nodes monitored during each execution of the workload and at least one desired performance characteristic. The workload is provided to the cluster of nodes for execution.

Abstract: The present disclosure relates to a method and system for configuring a computing system, such as a cloud computing system. A method includes selecting a cluster of nodes for the computing system from a plurality of available nodes coupled to a communication network based on a comparison of a communication network configuration of an emulated node cluster and an actual communication network configuration of the plurality of available nodes. The method further includes modifying a network configuration of at least one node of a cluster of nodes to modify network performance of the at least one node on a communication network coupled to the cluster of nodes.

Abstract: The present disclosure relates to a method and system for configuring a computing system, such as a cloud computing system. A method includes initiating a hardware performance assessment test on a group of available nodes to obtain actual hardware performance characteristics of the group of available nodes. The method further includes selecting a subset of nodes for the computing system from the group of available nodes based on a comparison of the actual hardware performance characteristics of the group of available nodes and desired hardware performance characteristics.

Abstract: The present disclosure relates to a method, system, and apparatus for configuring a computing system, such as a cloud computing system. A method includes, based on user selections received via a user interface, configuring a cluster of nodes by selecting the cluster of nodes from a plurality of available nodes, selecting a workload container module from a plurality of available workload container modules for operation on each node of the selected cluster of nodes, and selecting a workload for execution with the workload container on the cluster of nodes. Each node of the cluster of nodes includes at least one processing device and memory, and the cluster of nodes is operative to share processing of a workload.