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Joseph D. Ratterman, Rochester US

Joseph D. Ratterman, Rochester, MN US

Patent application numberDescriptionPublished
20080222303LATENCY HIDING MESSAGE PASSING PROTOCOL - A method, system, and article of manufacture that provide latency hiding, high bandwidth message passing protocols used for data communication between nodes of a parallel computer system are disclosed. A source node transmits a request to send message to a receiving node. Prior to receiving a clear to send message, the sending node continues to send deterministically routed (or fully described) data packets to the receiving node, thereby hiding the latency inherent in the request to send—clear to send message exchange. Once the sending node receives the clear to send message, any remaining portion of the message may be sent using partially described packets which may be routed dynamically, thereby maximizing bandwidth.09-11-2008
20080259916OPPORTUNISTIC QUEUEING INJECTION STRATEGY FOR NETWORK LOAD BALANCING - Embodiments of the invention include a method, system, and article of manufacture that provide opportunistic queuing injection strategy used for data communication between nodes of a parallel computer system. A message may be encapsulated into a set of data packets. When the packets are sent, an opportunistic injection queue may be configured to transmit them to multiple hardware injection ports. This approach allows for complete network link saturation. In a parallel system with network links in multiple dimensions, sending message packets using more than one dimension may substantially increase network throughput.10-23-2008
20080263320Executing a Scatter Operation on a Parallel Computer - Executing a scatter operation on a parallel computer includes: configuring a send buffer on a logical root, the send buffer having positions, each position corresponding to a ranked node in an operational group of compute nodes and for storing contents scattered to that ranked node; and repeatedly for each position in the send buffer: broadcasting, by the logical root to each of the other compute nodes on a global combining network, the contents of the current position of the send buffer using a bitwise OR operation, determining, by each compute node, whether the current position in the send buffer corresponds with the rank of that compute node, if the current position corresponds with the rank, receiving the contents and storing the contents in a reception buffer of that compute node, and if the current position does not correspond with the rank, discarding the contents.10-23-2008
20080270852MULTI-DIRECTIONAL FAULT DETECTION SYSTEM - An apparatus, program product and method checks for nodal faults in a group of nodes comprising a center node and all adjacent nodes. The center node concurrently communicates with the immediately adjacent nodes in three dimensions. The communications are analyzed to determine a presence of a faulty node or connection.10-30-2008
20080281997Low Latency, High Bandwidth Data Communications Between Compute Nodes in a Parallel Computer - Methods, parallel computers, and computer program products are disclosed for low latency, high bandwidth data communications between compute nodes in a parallel computer. Embodiments include receiving, by an origin direct memory access (‘DMA’) engine of an origin compute node, data for transfer to a target compute node; sending, by the origin DMA engine of the origin compute node to a target DMA engine on the target compute node, a request to send (‘RTS’) message; transferring, by the origin DMA engine, a predetermined portion of the data to the target compute node using memory FIFO operation; determining, by the origin DMA engine whether an acknowledgement of the RTS message has been received from the target DMA engine; if the an acknowledgement of the RTS message has not been received, transferring, by the origin DMA engine, another predetermined portion of the data to the target compute node using a memory FIFO operation; and if the acknowledgement of the RTS message has been received by the origin DMA engine, transferring, by the origin DMA engine, any remaining portion of the data to the target compute node using a direct put operation.11-13-2008
20080288820MULTI-DIRECTIONAL FAULT DETECTION SYSTEM - An apparatus, program product and method checks for nodal faults in a group of nodes comprising a center node and all adjacent nodes. The center node concurrently communicates with the immediately adjacent nodes in three dimensions. The communications are analyzed to determine a presence of a faulty node or connection.11-20-2008
20080301683Performing an Allreduce Operation Using Shared Memory - Methods, apparatus, and products are disclosed for performing an allreduce operation using shared memory that include: receiving, by at least one of a plurality of processing cores on a compute node, an instruction to perform an allreduce operation; establishing, by the core that received the instruction, a job status object for specifying a plurality of shared memory allreduce work units, the plurality of shared memory allreduce work units together performing the allreduce operation on the compute node; determining, by an available core on the compute node, a next shared memory allreduce work unit in the job status object; and performing, by that available core on the compute node, that next shared memory allreduce work unit.12-04-2008
20080301704Controlling Data Transfers from an Origin Compute Node to a Target Compute Node - Methods, apparatus, and products are disclosed for controlling data transfers from an origin compute node to a target compute node that include: receiving, by an application messaging module on the target compute node, an indication of a data transfer from an origin compute node to the target compute node; and administering, by the application messaging module on the target compute node, the data transfer using one or more messaging primitives of a system messaging module in dependence upon the indication.12-04-2008
20080307194Parallel, Low-Latency Method for High-Performance Deterministic Element Extraction From Distributed Arrays - The present invention provides a system and method for extracting elements from distributed arrays on a parallel processing system. The system includes a module that populates a local array with elements from input, a module that submits a largest element value in the local array and a processor ID for a local processor, and a module that determines a globally largest element value from the largest element values submitted by each one of the plurality of processors. The system further includes a module that broadcasts a winning globally largest element value and winning processor ID to the plurality of processors, and a module that increments an element pointer to the next value in the local array if the winning processor ID equals the processor ID for the local processor.12-11-2008
20080307195Parallel, Low-Latency Method for High-Performance Speculative Element Extraction From Distributed Arrays - The present invention provides a system and method for extracting elements from distributed arrays on a parallel processing system. The system includes a module that populates a result array with globally largest elements from the input, a module that generates a partition element, a module that counts the number of local elements greater than the partition and a module that determines the globally largest elements. The method for extracting elements from distributed arrays on a parallel processing system includes populating a result array with globally largest elements from the input, generating a partition element, counting the number of local elements greater than the partition and determining the globally largest elements.12-11-2008
20080313341Data Communications - Data communications, including issuing, by an application program to a high level data communications library, a request for initialization of a data communications service; issuing to a low level data communications library a request for registration of data communications functions; registering the data communications functions, including instantiating a factory object for each of the one or more data communications functions; issuing by the application program an instruction to execute a designated data communications function; issuing, to the low level data communications library, an instruction to execute the designated data communications function, including passing to the low level data communications library a call parameter that identifies a factory object; creating with the identified factory object the data communications object that implements the data communications function according to the protocol; and executing by the low level data communications library the designated data communications function.12-18-2008
20080313376Heuristic Status Polling - Methods, compute nodes, and computer program products are provided for heuristic status polling of a component in a computing system. Embodiments include receiving, by a polling module from a requesting application, a status request requesting status of a component; determining, by the polling module, whether an activity history for the component satisfies heuristic polling criteria; polling, by the polling module, the component for status if the activity history for the component satisfies the heuristic polling criteria; and not polling, by the polling module, the component for status if the activity history for the component does not satisfy the heuristic criteria.12-18-2008
20080313506BISECTIONAL FAULT DETECTION SYSTEM - An apparatus and program product logically divide a group of nodes and causes node pairs comprising a node from each section to communicate. Results from the communications may be analyzed to determine performance characteristics, such as bandwidth and proper connectivity.12-18-2008
20080320329ROW FAULT DETECTION SYSTEM - An apparatus and program product check for nodal faults in a row of nodes by causing each node in the row to concurrently communicate with its adjacent neighbor nodes in the row. The communications are analyzed to determine a presence of a faulty node or connection.12-25-2008
20080320330ROW FAULT DETECTION SYSTEM - An apparatus, program product and method check for nodal faults in a row of nodes by causing each node in the row to concurrently communicate with its adjacent neighbor nodes in the row. The communications are analyzed to determine a presence of a faulty node or connection.12-25-2008
20090037511Effecting a Broadcast with an Allreduce Operation on a Parallel Computer - Methods, parallel computers, and computer program products are disclosed for effecting a broadcast with an allreduce operation on a parallel computer, the parallel computer comprising a plurality of compute nodes, the compute nodes organized into at least one operational group of compute nodes for collective parallel operations of the parallel computer, each compute node in the operational group assigned a unique rank, the compute nodes of the operational group coupled for data communications through a global combining network; and one compute node assigned to be a logical root. Embodiments include configuring, by the logical root node, a send buffer having a contribution to be broadcast to each ranked node in the operational group; configuring, by all ranked nodes other than the logical root, a receive buffer for receiving the contribution from the logical root; and repeatedly for each element of the contribution of the logical root in the send buffer: contributing, by the logical root, the element of the contribution in the send buffer; injecting, by all ranked nodes other than the logical root, one or more zeros corresponding to a size of the element; performing, by all the compute nodes of the operational group, an allreduce operation with a bitwise OR using the element and the injected zeros, yielding a result for the allreduce operation; and storing in each receive buffer, by all ranked nodes other than the logical root, the result of the allreduce.02-05-2009
20090037598Providing Nearest Neighbor Point-to-Point Communications Among Compute Nodes of an Operational Group in a Global Combining Network of a Parallel Computer - Methods, apparatus, and products are disclosed for providing nearest neighbor point-to-point communications among compute nodes of an operational group in a global combining network of a parallel computer, each compute node connected to each adjacent compute node in the global combining network through a link, that include: identifying each link in the global combining network for each compute node of the operational group; designating one of a plurality of point-to-point class routing identifiers for each link such that no compute node in the operational group is connected to two adjacent compute nodes in the operational group with links designated for the same class routing identifiers; and configuring each compute node of the operational group for point-to-point communications with each adjacent compute node in the global combining network through the link between that compute node and that adjacent compute node using that link's designated class routing identifier.02-05-2009
20090043912Providing Full Point-To-Point Communications Among Compute Nodes of an Operational Group in a Global Combining Network of a Parallel Computer - Methods, apparatus, and products are disclosed for providing full point-to-point communications among compute nodes of an operational group in a global combining network of a parallel computer, each compute node connected to each adjacent compute node in the global combining network through a link, that include: receiving a network packet in a compute node, the network packet specifying a destination compute node; selecting, in dependence upon the destination compute node, at least one of the links for the compute node along which to forward the network packet toward the destination compute node; and forwarding the network packet along the selected link to the adjacent compute node connected to the compute node through the selected link.02-12-2009
20090043988Configuring Compute Nodes of a Parallel Computer in an Operational Group into a Plurality of Independent Non-Overlapping Collective Networks - Methods, apparatus, and products are disclosed for configuring compute nodes of a parallel computer in an operational group into a plurality of independent non-overlapping collective networks, the compute nodes in the operational group connected together for data communications through a global combining network, that include: partitioning the compute nodes in the operational group into a plurality of non-overlapping subgroups; designating one compute node from each of the non-overlapping subgroups as a master node; and assigning, to the compute nodes in each of the non-overlapping subgroups, class routing instructions that organize the compute nodes in that non-overlapping subgroup as a collective network such that the master node is a physical root.02-12-2009
20090044052CELL BOUNDARY FAULT DETECTION SYSTEM - An apparatus and program product determine a nodal fault along the boundary, or face, of a computing cell. Nodes on adjacent cell boundaries communicate with each other, and the communications are analyzed to determine if a node or connection is faulty.02-12-2009
20090300384Reducing Power Consumption While Performing Collective Operations On A Plurality Of Compute Nodes - Methods, apparatus, and products are disclosed for reducing power consumption while performing collective operations on a plurality of compute nodes that include: receiving, by each compute node, instructions to perform a type of collective operation; selecting, by each compute node from a plurality of collective operations for the collective operation type, a particular collective operation in dependence upon power consumption characteristics for each of the plurality of collective operations; and executing, by each compute node, the selected collective operation.12-03-2009
20090300385Reducing Power Consumption While Synchronizing A Plurality Of Compute Nodes During Execution Of A Parallel Application - Methods, apparatus, and products are disclosed for reducing power consumption while synchronizing a plurality of compute nodes during execution of a parallel application that include: beginning, by each compute node, performance of a blocking operation specified by the parallel application, each compute node beginning the blocking operation asynchronously with respect to the other compute nodes; reducing, for each compute node, power to one or more hardware components of that compute node in response to that compute node beginning the performance of the blocking operation; and restoring, for each compute node, the power to the hardware components having power reduced in response to all of the compute nodes beginning the performance of the blocking operation.12-03-2009
20090300386Reducing power consumption during execution of an application on a plurality of compute nodes - Methods, apparatus, and products are disclosed for reducing power consumption during execution of an application on a plurality of compute nodes that include: powering up, during compute node initialization, only a portion of computer memory of the compute node, including configuring an operating system for the compute node in the powered up portion of computer memory; receiving, by the operating system, an instruction to load an application for execution; allocating, by the operating system, additional portions of computer memory to the application for use during execution; powering up the additional portions of computer memory allocated for use by the application during execution; and loading, by the operating system, the application into the powered up additional portions of computer memory.12-03-2009
20090300394Reducing Power Consumption During Execution Of An Application On A Plurality Of Compute Nodes - Methods, apparatus, and products are disclosed for reducing power consumption during execution of an application on a plurality of compute nodes that include: executing, by each compute node, an application, the application including power consumption directives corresponding to one or more portions of the application; identifying, by each compute node, the power consumption directives included within the application during execution of the portions of the application corresponding to those identified power consumption directives; and reducing power, by each compute node, to one or more components of that compute node according to the identified power consumption directives during execution of the portions of the application corresponding to those identified power consumption directives.12-03-2009
20090300399Profiling power consumption of a plurality of compute nodes while processing an application - Methods, apparatus, and products are disclosed for profiling power consumption of a plurality of compute nodes while processing an application that include: executing the application on the plurality of compute nodes; monitoring performance characteristics for components of the plurality of compute nodes during execution of the application; and recording, in a power profile for the application, power consumption during execution of the application in dependence upon the performance characteristics for components of the plurality of compute nodes.12-03-2009
20090307036Budget-Based Power Consumption For Application Execution On A Plurality Of Compute Nodes - Methods, apparatus, and products are disclosed for budget-based power consumption for application execution on a plurality of compute nodes that include: assigning an execution priority to each of one or more applications; executing, on the plurality of compute nodes, the applications according to the execution priorities assigned to the applications at an initial power level provided to the compute nodes until a predetermined power consumption threshold is reached; and applying, upon reaching the predetermined power consumption threshold, one or more power conservation actions to reduce power consumption of the plurality of compute nodes during execution of the applications.12-10-2009
20090307703Scheduling Applications For Execution On A Plurality Of Compute Nodes Of A Parallel Computer To Manage temperature of the nodes during execution - Methods, apparatus, and products are disclosed for scheduling applications for execution on a plurality of compute nodes of a parallel computer to manage temperature of the plurality of compute nodes during execution that include: identifying one or more applications for execution on the plurality of compute nodes; creating a plurality of physically discontiguous node partitions in dependence upon temperature characteristics for the compute nodes and a physical topology for the compute nodes, each discontiguous node partition specifying a collection of physically adjacent compute nodes; and assigning, for each application, that application to one or more of the discontiguous node partitions for execution on the compute nodes specified by the assigned discontiguous node partitions.12-10-2009
20090307708Thread Selection During Context Switching On A Plurality Of Compute Nodes - Methods, apparatus, and products are disclosed for thread selection during context switching on a plurality of compute nodes that includes: executing, by a compute node, an application using a plurality of threads of execution, including executing one or more of the threads of execution; selecting, by the compute node from a plurality of available threads of execution for the application, a next thread of execution in dependence upon power characteristics for each of the available threads; determining, by the compute node, whether criteria for a thread context switch are satisfied; and performing, by the compute node, the thread context switch if the criteria for a thread context switch are satisfied, including executing the next thread of execution.12-10-2009
20100005189Pacing Network Traffic Among A Plurality Of Compute Nodes Connected Using A Data Communications Network - Methods, apparatus, and products are disclosed for pacing network traffic among a plurality of compute nodes connected using a data communications network. The network has a plurality of network regions, and the plurality of compute nodes are distributed among these network regions. Pacing network traffic among a plurality of compute nodes connected using a data communications network includes: identifying, by a compute node for each region of the network, a roundtrip time delay for communicating with at least one of the compute nodes in that region; determining, by the compute node for each region, a pacing algorithm for that region in dependence upon the roundtrip time delay for that region; and transmitting, by the compute node, network packets to at least one of the compute nodes in at least one of the network regions in dependence upon the pacing algorithm for that region.01-07-2010
20100005326Profiling An Application For Power Consumption During Execution On A Compute Node - Methods, apparatus, and products are disclosed for profiling an application for power consumption during execution on a compute node that include: receiving an application for execution on a compute node; identifying a hardware power consumption profile for the compute node, the hardware power consumption profile specifying power consumption for compute node hardware during performance of various processing operations; determining a power consumption profile for the application in dependence upon the application and the hardware power consumption profile for the compute node; and reporting the power consumption profile for the application.01-07-2010
20100037035Generating An Executable Version Of An Application Using A Distributed Compiler Operating On A Plurality Of Compute Nodes - Methods, apparatus, and products are disclosed for generating an executable version of an application using a distributed compiler operating on a plurality of compute nodes that include: receiving, by each compute node, a portion of source code for an application; compiling, in parallel by each compute node, the portion of the source code received by that compute node into a portion of object code for the application; performing, in parallel by each compute node, inter-procedural analysis on the portion of the object code of the application for that compute node, including sharing results of the inter-procedural analysis among the compute nodes; optimizing, in parallel by each compute node, the portion of the object code of the application for that compute node using the shared results of the inter-procedural analysis; and generating the executable version of the application in dependence upon the optimized portions of the object code of the application.02-11-2010
20100274997Executing a Gather Operation on a Parallel Computer - Methods, apparatus, and computer program products are disclosed for executing a gather operation on a parallel computer according to embodiments of the present invention. Embodiments include configuring, by the logical root, a result buffer or the logical root, the result buffer having positions, each position corresponding to a ranked node in the operational group and for storing contribution data gathered from that ranked node. Embodiments also include repeatedly for each position in the result buffer: determining, by each compute node of an operational group, whether the current position in the result buffer corresponds with the rank of the compute node, if the current position in the result buffer corresponds with the rank of the compute node, contributing, by that compute node, the compute node's contribution data, if the current position in the result buffer does not correspond with the rank of the compute node, contributing, by that compute node, a value of zero for the contribution data, and storing, by the logical root in the current position in the result buffer, results of a bitwise OR operation of all the contribution data by all compute nodes of the operational group for the current position, the results received through the global combining network.10-28-2010
20100318835BISECTIONAL FAULT DETECTION SYSTEM - An apparatus, program product and method logically divide a group of nodes and causes node pairs comprising a node from each section to communicate. Results from the communications may be analyzed to determine performance characteristics, such as bandwidth and proper connectivity.12-16-2010

Patent applications by Joseph D. Ratterman, Rochester, MN US