Abstract: Algorithm selection for collective operations in a parallel computer that includes a plurality of compute nodes may include: profiling a plurality of algorithms for each of a set of collective operations, including for each collective operation: executing the operation a plurality times with each execution varying one or more of: geometry, message size, data type, and algorithm to effect the collective operation, thereby generating performance metrics for each execution; storing the performance metrics in a performance profile; at load time of a parallel application including a plurality of parallel processes configured in a particular geometry, filtering the performance profile in dependence upon the particular geometry; during run-time of the parallel application, selecting, for at least one collective operation, an algorithm to effect the operation in dependence upon characteristics of the parallel application and the performance profile; and executing the operation using the selected algorithm.

Abstract: Methods, systems, and computer program products for administering event pools for relevant event analysis are provided. Embodiments include assigning, by an incident analyzer, a plurality of events to an events pool; determining, by the incident analyzer, an event suppression duration; determining, by the incident analyzer in dependence upon event analysis rules, to suppress events having particular attributes indicating the events occurred during the event suppression duration; and suppressing, by the incident analyzer, each event assigned to the events pool having the particular attributes indicating the events occurred during the event suppression duration.

Abstract: Executing a collective operation algorithm in a parallel computer includes a compute node of an operational group determining a required number of participants for execution of a collective operation algorithm and determining a number of contributing nodes having data to participate in the algorithm. Embodiments also include the compute node calculating a number of ghost nodes to participate in the algorithm. According to embodiments of the present invention, the number of ghost nodes is the required number of participants minus the number of contributing nodes having data to participate. Embodiments also include the compute node selecting from a plurality of ghost nodes, the calculated number of ghost nodes for participation in the execution of the algorithm and executing the algorithm with both the selected ghost nodes and the contributing nodes.

Abstract: Background collective operation management in a parallel computer, the parallel computer including one or more compute nodes operatively coupled for data communications over one or more data communications networks, including: determining, by a management availability module, whether a compute node in the parallel computer is available to perform a background collective operation management task; responsive to determining that the compute node is available to perform the background collective operation management task, determining, by the management availability module, whether the compute node has access to sufficient resources to perform the background collective operation management task; and responsive to determining that the compute node has access to sufficient resources to perform the background collective operation management task, initiating, by the management availability module, execution of the background collective operation management task.

Abstract: Executing a collective operation algorithm in a parallel computer includes a compute node of an operational group determining a required number of participants for execution of a collective operation algorithm and determining a number of contributing nodes having data to participate in the algorithm. Embodiments also include the compute node calculating a number of ghost nodes to participate in the algorithm. According to embodiments of the present invention, the number of ghost nodes is the required number of participants minus the number of contributing nodes having data to participate. Embodiments also include the compute node selecting from a plurality of ghost nodes, the calculated number of ghost nodes for participation in the execution of the algorithm and executing the algorithm with both the selected ghost nodes and the contributing nodes.

Abstract: There are provided a system, a method and a computer program product for sharing messages between an email client and a social network. The system prepares, based on an input from a sender, an email message by using the email client. The system identifies a portion of the email message to be shared with one or more users in the social network. The system tags the portion of the email message with identities of the one or more users in the social network. The system accesses the social network with credential of the sender. The system posts the portion of the email message on social network pages of the one or more users under a name of the sender.

Abstract: There are provided a system, a method and a computer program product for sharing messages between an email client and a social network. The system prepares, based on an input from a sender, an email message by using the email client. The system identifies a portion of the email message to be shared with one or more users in the social network. The system tags the portion of the email message with identities of the one or more users in the social network. The system accesses the social network with credential of the sender. The system posts the portion of the email message on social network pages of the one or more users under a name of the sender.

Abstract: Methods, apparatuses, and computer program products for selected alert delivery in a distributed processing system are provided. Embodiments include receiving a plurality of events from one or more event producing components of the distributed processing system; creating, by an incident analyzer, in dependence upon the events a truth space representing events that make one or more conditional event processing rules true, the truth space including a set of truth points, each truth point including a set of events and a set of event locations; creating, by the incident analyzer, in dependence upon the truth space one or more alerts; and sending, by the incident analyzer, the alerts to at least one component of the distributed processing system.

Abstract: Methods, apparatuses, and computer program products for selected alert delivery in a distributed processing system are provided. Embodiments include receiving a plurality of events from one or more event producing components of the distributed processing system; creating, by an incident analyzer, in dependence upon the events a truth space representing events that make one or more conditional event processing rules true, the truth space including a set of truth points, each truth point including a set of events and a set of event locations; creating, by the incident analyzer, in dependence upon the truth space one or more alerts; and sending, by the incident analyzer, the alerts to at least one component of the distributed processing system.

Abstract: Background collective operation management in a parallel computer, the parallel computer including one or more compute nodes operatively coupled for data communications over one or more data communications networks, including: determining, by a management availability module, whether a compute node in the parallel computer is available to perform a background collective operation management task; responsive to determining that the compute node is available to perform the background collective operation management task, determining, by the management availability module, whether the compute node has access to sufficient resources to perform the background collective operation management task; and responsive to determining that the compute node has access to sufficient resources to perform the background collective operation management task, initiating, by the management availability module, execution of the background collective operation management task.

Abstract: In a distributed computing environment that includes hosts that execute a VMM, where each VMM supports execution of one or more VMs, administering VMs may include: assigning, by a VMM manager, the VMMs of the distributed computing environment to a logical tree topology, including assigning one of the VMMs as a root VMM of the tree topology; and executing, amongst the VMMs of the tree topology, a broadcast operation, including: pausing, by the root VMM, execution of one or more VMs supported by the root VMM; sending, by the root VMM, to other VMMs in the tree topology, a message indicating a pending transfer of the paused VMs; and transferring the paused VMs from the root VMM to the other VMMs.

Abstract: In a distributed computing environment that includes hosts that execute a VMM, with each VMM supporting execution of one or more VMs, administering VMs may include: assigning, by a VMM manager, the VMMs of the distributed computing environment to a logical tree topology, including assigning one of the VMMs as a root VMM of the tree topology; and executing, amongst the VMMs of the tree topology, a scatter operation, including: pausing, by the root VMM one or more executing VMs; storing, by the root VMM in a buffer, a plurality of VMs to scatter amongst the other VMMs of the tree topology; and sending, by the root VMM, to each of the other VMMs of the tree topology a different one of the VMs stored in the buffer.

Abstract: In a distributed computing environment that includes hosts that execute a VMM, with each VMM supporting execution of one or more VMs, administering VMs may include: assigning, by a VMM manager, the VMMs of the distributed computing environment to a logical tree topology, including assigning one of the VMMs as a root VMM of the tree topology; and executing, amongst the VMMs of the tree topology, a scatter operation, including: pausing, by the root VMM one or more executing VMs; storing, by the root VMM in a buffer, a plurality of VMs to scatter amongst the other VMMs of the tree topology; and sending, by the root VMM, to each of the other VMMs of the tree topology a different one of the VMs stored in the buffer.

Abstract: In a distributed computing environment that includes hosts that execute a VMM, where each VMM supports execution of one or more VMs, administering VMs may include: assigning, by a VMM manager, the VMMs of the distributed computing environment to a logical tree topology, including assigning one of the VMMs as a root VMM of the tree topology; and executing, amongst the VMMs of the tree topology, a broadcast operation, including: pausing, by the root VMM, execution of one or more VMs supported by the root VMM; sending, by the root VMM, to other VMMs in the tree topology, a message indicating a pending transfer of the paused VMs; and transferring the paused VMs from the root VMM to the other VMMs.

Abstract: In a distributed computing environment that includes hosts which each execute a VMM, with each VMM supporting execution of one or more VMs, administering a the VMs may include: assigning, by a VMM manager, the VMMs of the distributed computing environment to a logical tree topology, including assigning one of the VMMs as a root VMM of the tree topology; and executing, amongst the VMMs of the tree topology, an allgather operation, including: sending, by the root VMM, to other VMMs in the tree topology, a request to retrieve VMs supported by the other VMMs; pausing, by each of the other VMMs, a VM supported by the VMM; providing, by each of the other VMMs as a response to the root VMM's request, the paused VM; and broadcasting, by the root VM to the other VMMs as a set of VMs, the received VMs.

Abstract: In a distributed computing environment that includes which each execute a VMM, where each VMM supports execution of one or more VMs, administering the VMs may include: assigning, by a VMM manager, the VMMs of the distributed computing environment to a logical tree topology, including assigning one of the VMMs as a root VMM of the tree topology; and executing, amongst the VMMs of the tree topology, a gather operation, including: sending, by the root VMM, to other VMMs in the tree topology, a request to retrieve one or more VMs supported by the other VMMs; pausing, by the other VMMs, each VM requested to be retrieved; and providing, by the other VMMs to the root VMM, the VMs requested to be retrieved.

Abstract: Administering VMs in a distributed computing environment that includes hosts that execute a VMM, with each VMM supporting execution of one or more VMs, includes: assigning the VMMs to a logical tree topology with one as a root; and executing, by the VMMs of the tree topology, a reduce operation, including: sending, by the root VMM to each of other VMMs of the tree topology, a request for an instance of a particular VM; pausing, by each of the other VMMs, the requested instance of the particular VM; providing, by each of the other VMMs to the root VMM in response to the root VMM's request, the requested instance of the particular VM; and identifying, by the root VMM, differences among the requested instances of the particular VM including, performing a bitwise XOR operation amongst the instances of the particular VM.

Abstract: Administering VMs in a distributed computing environment that includes hosts that execute a VMM, with each VMM supporting execution of one or more VMs, includes: assigning the VMMs to a logical tree topology with one as a root; and executing, by the VMMs of the tree topology, a reduce operation, including: sending, by the root VMM to each of other VMMs of the tree topology, a request for an instance of a particular VM; pausing, by each of the other VMMs, the requested instance of the particular VM; providing, by each of the other VMMs to the root VMM in response to the root VMM's request, the requested instance of the particular VM; and identifying, by the root VMM, differences among the requested instances of the particular VM including, performing a bitwise XOR operation amongst the instances of the particular VM.

Abstract: In a distributed computing environment that includes which each execute a VMM, where each VMM supports execution of one or more VMs, administering the VMs may include: assigning, by a VMM manager, the VMMs of the distributed computing environment to a logical tree topology, including assigning one of the VMMs as a root VMM of the tree topology; and executing, amongst the VMMs of the tree topology, a gather operation, including: sending, by the root VMM, to other VMMs in the tree topology, a request to retrieve one or more VMs supported by the other VMMs; pausing, by the other VMMs, each VM requested to be retrieved; and providing, by the other VMMs to the root VMM, the VMs requested to be retrieved.

Abstract: In a distributed computing environment that includes hosts that execute a VMM, where each VMM supports execution of one or more VMs, administering VMs may include: assigning, by a VMM manager, the VMMs of the distributed computing environment to a logical tree topology, including assigning one of the VMMs as a root VMM of the tree topology; and executing, amongst the VMMs of the tree topology, a broadcast operation, including: pausing, by the root VMM, execution of one or more VMs supported by the root VMM; sending, by the root VMM, to other VMMs in the tree topology, a message indicating a pending transfer of the paused VMs; and transferring the paused VMs from the root VMM to the other VMMs.