Abstract: Methods, apparatuses, and computer program products for event and alert analysis are provided. Embodiments include a local event analyzer embedded in an alert analyzer receiving events from an event queue. Embodiments also include the local event analyzer creating, based on the received events and local event analysis rules specific to the alert analyzer, a temporary alert for the alert analyzer. Embodiments also include the alert analyzer analyzing the temporary alert based on alert analysis rules.

Abstract: Embodiments include methods for redundantly storing product data for an electronic component on an external device. Aspects include determining that product data stored in a primary storage device is corrupted and determining whether the product data is available on the external device that is in communication with the electronic component. Based on a determination that the product data stored in the primary storage device is corrupted and that the product data is available on the external device, aspects include obtaining product data from the external device to continue operation of the electronic component.

Abstract: Embodiments include method, systems and computer program products for redundantly storing product data for an electronic component on an external device. Aspects include determining that product data stored in a primary storage device is corrupted and determining whether the product data is available on the external device that is in communication with the electronic component. Based on a determination that the product data stored in the primary storage device is corrupted and that the product data is available on the external device, aspects include obtaining product data from the external device to continue operation of the electronic component.

Abstract: Methods, apparatuses, and computer program products for collective operation management in a parallel computer are provided. Embodiments include a parallel computer having a first compute node operatively coupled for data communications over a tree data communications network with a plurality of child compute nodes. Embodiments also include each child compute node performing a first collective operation. The first compute rode, for each child compute node, receives from the child compute node, a result of the first collective operation performed by the child compute node. For each result received from a child compute node, the first compute node stores a timestamp indicating a time that the child compute node completed the first collective operation. The first compute node also manages, based on the stored timestamps, execution of a second collective operation over the tree data communications network.

Abstract: Data communications may be carried out in a distributed computing environment that includes a plurality of computers coupled for data communications through communications adapters and an active messaging interface (‘AMI’). In such an environment, data communications may include: issuing, by a sender to a receiver, an eager SEND data communications instruction to transfer SEND data, the instruction including information describing a location and size of a send buffer in which the SEND data is stored; transmitting, by the sender to the receiver, the SEND data as eager data packets; issuing, by the receiver to the sender in dependence upon data flow conditions, a STOP instruction, the STOP instruction including an order to stop transmitting the eager data packets; and transferring the SEND data by the receiver from the sender's data location to a receive buffer by remote direct memory access (“RDMA”).

Abstract: Methods, parallel computers, and computer program products for requesting shared variable directory (SVD) information from a plurality of threads in a parallel computer are provided. Embodiments include a runtime optimizer detecting that a first thread requires a plurality of updated SVD information associated with shared resource data stored in a plurality of memory partitions. Embodiments also include a runtime optimizer broadcasting, in response to detecting that the first thread requires the updated SVD information, a gather operation message header to the plurality of threads. The gather operation message header indicates an SVD key corresponding to the required updated SVD information and a local address associated with the first thread to receive a plurality of updated SVD information associated with the SVD key. Embodiments also include the runtime optimizer receiving at the local address, the plurality of updated SVD information from the plurality of threads.

Abstract: Methods, parallel computers, and computer program products for requesting shared variable directory (SVD) information from a plurality of threads in a parallel computer are provided. Embodiments include a runtime optimizer detecting that a first thread requires a plurality of updated SVD information associated with shared resource data stored in a plurality of memory partitions. Embodiments also include a runtime optimizer broadcasting, in response to detecting that the first thread requires the updated SVD information, a gather operation message header to the plurality of threads. The gather operation message header indicates an SVD key corresponding to the required updated SVD information and a local address associated with the first thread to receive a plurality of updated SVD information associated with the SVD key. Embodiments also include the runtime optimizer receiving at the local address, the plurality of updated SVD information from the plurality of threads.

Abstract: Developing collective operations for a parallel computer that includes compute nodes includes: presenting, by a collective development tool, a graphical user interface (‘GUI’) to a collective developer; receiving, by the collective development tool from the collective developer through the GUI, a selection of one or more collective primitives; receiving, by the collective development tool from the collective developer through the GUI, a specification of a serial order of the collective primitives and a specification of input and output buffers for each collective primitive; and generating, by the collective development tool in dependence upon the selection of collective primitives, the serial order of the collective primitives, and the input and output buffers for each collective primitive, executable code that carries out the collective operation specified by the collective primitives.

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 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: Developing collective operations for a parallel computer that includes compute nodes includes: presenting, by a collective development tool, a graphical user interface (‘GUI’) to a collective developer; receiving, by the collective development tool from the collective developer through the GUI, a selection of one or more collective primitives; receiving, by the collective development tool from the collective developer through the GUI, a specification of a serial order of the collective primitives and a specification of input and output buffers for each collective primitive; and generating, by the collective development tool in dependence upon the selection of collective primitives, the serial order of the collective primitives, and the input and output buffers for each collective primitive, executable code that carries out the collective operation specified by the collective primitives.

Abstract: Methods, apparatuses, and computer program products for collective operation management in a parallel computer are provided. Embodiments include a parallel computer having a first compute node operatively coupled for data communications over a tree data communications network with a plurality of child compute nodes. Embodiments also include each child compute node performing a first collective operation. The first compute rode, for each child compute node, receives from the child compute node, a result of the first collective operation performed by the child compute node. For each result received from a child compute node, the first compute node stores a timestamp indicating a time that the child compute node completed the first collective operation. The first compute node also manages, based on the stored timestamps, execution of a second collective operation over the tree data communications network.

Abstract: Methods, apparatuses, and computer program products for performing collective operations on a hybrid distributed processing system including: determining by at least one task that a parent of the task has failed to send the task data through the tree topology; and determining whether to request the data from a grandparent of the task or a peer of the task in the same tier in the tree topology; and if the task requests the data from the grandparent, requesting the data and receiving the data from the grandparent of the task through the second networking topology; and if the task requests the data from a peer of the task in the same tier in the tree, requesting the data and receiving the data from a peer of the task through the second networking topology.

Abstract: Sending, by a node requesting information regarding a resource to one or more nodes in a distributed computing system, an active message to perform a collective operation; contributing, by each node not having a resource, a value of zero to the collective operation; contributing, by a node having the resource, the node's rank; storing the result of the collective operation in a buffer of the requesting node; and identifying, in dependence upon the result of the collective operation, the rank of the node having the resource.

Abstract: Optimizing collective operations including receiving an instruction to perform a collective operation type; selecting an optimized collective operation for the collective operation type; performing the selected optimized collective operation; determining whether a resource needed by the one or more nodes to perform the collective operation is not available; if a resource needed by the one or more nodes to perform the collective operation is not available: notifying the other nodes that the resource is not available; selecting a next optimized collective operation; and performing the next optimized collective operation.

Abstract: Methods, systems, and computer program products for flexible event data content management for relevant event and alert analysis within a distributed processing system are provided. Embodiments include capturing, by an interface connector, an event from a resource of the distributed processing system; inserting, by the interface connector, the event into an event database; receiving from the interface connector, by a notifier, a notification of insertion of the event into the event database; based on the received notification, tracking, by the notifier, the number of events indicated as inserted into the event database; receiving from the notifier, by a monitor, a cumulative notification indicating the number of events that have been inserted into the event database; in response to receiving the cumulative notification, retrieving, by the monitor, from the event database, events inserted into the event database; and processing, by the monitor, the retrieved events.

Abstract: Terminating an accelerator application program in a hybrid computing environment that includes a host computer having a host computer architecture and an accelerator having an accelerator architecture, where the host computer and the accelerator are adapted to one another for data communications by a system level message passing module (‘SLMPM’), and terminating an accelerator application program in a hybrid computing environment includes receiving, by the SLMPM from a host application executing on the host computer, a request to terminate an accelerator application program executing on the accelerator; terminating, by the SLMPM, execution of the accelerator application program; returning, by the SLMPM to the host application, a signal indicating that execution of the accelerator application program was terminated; and performing, by the SLMPM, a cleanup of the execution environment associated with the terminated accelerator application program.

Abstract: Methods, apparatuses, and computer program products for event and alert analysis are provided. Embodiments include a local event analyzer embedded in an alert analyzer receiving events from an event queue. Embodiments also include the local event analyzer creating, based on the received events and local event analysis rules specific to the alert analyzer, a temporary alert for the alert analyzer. Embodiments also include the alert analyzer analyzing the temporary alert based on alert analysis rules.

Abstract: Methods, parallel computers, and computer program products for broadcasting shared variable directory (SVD) information in a parallel computer are provided. Embodiments include a runtime optimizer detecting, by a runtime optimizer of the parallel computer, a change in SVD information within an SVD associated with a first thread. Embodiments also include a runtime optimizer identifying a plurality of threads requiring notification of the change in the SVD information. Embodiments also include the runtime optimizer in response to detecting the change in the SVD information, broadcasting to each thread of the identified plurality of threads, a broadcast message header and update data indicating the change in the SVD information.

Abstract: Methods, apparatuses, and computer program products for selecting during a system shutdown procedure, a restart incident checkpoint of an incident analyzer in a distributed processing system. Embodiments include the incident analyzer determining whether at least one incident is in a queue. If at least one incident is in the queue, the incident analyzer selects as the restart incident checkpoint, a last incident completed checkpoint. If at least one incident is not in the queue, the incident analyzer determines whether the last incident completed checkpoint matches a last incident analysis pool selection checkpoint. If the last incident completed checkpoint matches a last incident analysis pool selection checkpoint, the incident analyzer selects as the restart incident checkpoint, a monitor checkpoint.