International Business Machines Corporation

Globalfoundries Inc.

Michael Peter Perrone

Ligang Lu

Eugene Henry Ratzlaff

Jayashree Subrahmonia

Lurng-Kuo Liu

John Ferdinand Pitrelli

Krishna Sundaram Nathan

Thomas Yu-Kiu Kwok

Clifford A Pickover

Valentina Salapura

James R Kozloski

James Robert Lewis

Jianying Hu

Paul Turquand Keyser

Robert F Enenkel

Tayfun Gokmen

Yurii A Vlasov

Kerry Alan Ortega

Vadim Sheinin

James Randal Moulic

Huifang Wang

Gregory Fraser Russell

Kenneth Blair Ocheltree

David Andrew Sawin

Nicholas Stephen Kersting

Paul Robert Carini

Jeffrey S Schaffer

Brent Paulovicks

Ron Van Buskirk

Jerome L Quinn

Julia E Maners

Jizhu Lu

A method is disclosed to simulate operation of a grid structure. The method includes specifying a type of simulation to be performed and at least one initial condition with a user interface of a device such as a mobile device, where the grid structure comprises at least one of a power generation grid and a power distribution grid. The method further includes transmitting the specified type of simulation and the at least one initial condition from the user device to a computing platform; receiving from the computing platform a result of the simulation at the user device; and visualizing the result of the simulation with the user interface. The type of simulation can be an N-k contingency analysis simulation, where k is equal to zero, 1 or greater than 1.

Method, computer program and system providing real-time power grid hypothesis testing and contingency planning

The present application relates to systems for generating new variants from an existing corpus of documents and methods for using the same. The systems and methods generally comprise a corpus of documents and one or more types of variety provided by a user. The system generates one or more documents that are variants of the documents in the corpus of documents.

Systems and methods for generating document variants

A data processing system includes a user interface with a user input configured to enable a user to specify a type of simulation to be performed and at least one initial condition, where the simulation is executed using at least one sensor input from a grid structure composed of at least one of a power transmission and distribution grid. The user interface further has a display configured to visualize a representation of a result of a simulation of at least one scenario by presenting a multi-dimensional representation comprised of indicators, where each indicator corresponds to at least one simulation result. The user interface responds to a selection of one of the indicators by the user to visualize a result of the corresponding simulation. The type of simulation can be an N&#x2212;k contingency analysis simulation, where k is equal to zero, 1 or greater than 1.

An array of resistive processing units (RPUs) comprises a plurality of rows of RPUs and a plurality of columns of RPUs wherein each RPU comprises an AND gate configured to perform an AND operation of a first stochastic bit stream received from a first stochastic translator translating a number encoded from a neuron in a row and a second stochastic bit stream received from a second stochastic translator translating a number encoded from a neuron in a column. A first storage is configured to store a weight value of the RPU, and a second storage is configured to store an amount of change to the weight value of the RPU. When the first stochastic bit stream and the second stochastic bit stream coincide, the amount of change to the weight value of the RPU is added to the weight value of the RPU.

Resistive processing units and neural network training methods

Embodiments relate to supporting a decision making process. The method generates a graph that represents a decision making process. The graph comprises a plurality of nodes and a plurality of edges connecting the nodes. The nodes represent local decisions contributing to a global decision of the decision making process. Each node is associated with one or more parameters used for modeling the local decision. Each edge is associated with one or more parameters used for defining a relationship between two nodes. The method simulates the graph based at least in part on the parameters of the nodes and edges to derive an output global decision of the decision making process. The method receives a change to at least one of the parameters of the graph from a user and simulates the graph based at least in part on the at least one changed parameter to determine that the output global decision changes.

Automated decision support provenance and simulation

A system, method and computer program product for seismic imaging implements a seismic modeling algorithm utilizing Forward Wave Inversion technique for revising Reverse Time Migration models used for sub-surface modeling. The technique requires large communication bandwidth and low latency to convert a parallel problem into one solved using massive domain partitioning. The partitioning of a velocity model into processing blocks allows each sub-problem to fit in a local cache, increasing locality and bandwidth and reducing latency. The RTM seismic data processing utilizes data that includes combined shot data, i.e., shot data selected from amongst a plurality of shots that are combined at like spatial points of the volume. An iterative approach is applied such that the correction term RTM generates at each iteration in the iterative approach is used for refining the model, and the updated model is used for generating a further refined RTM model.

Full waveform inversion using combined shot data and no scratch disk

A system, method and computer program product for generating probabilistic models of a subsurface region of the earth of interest. The system, method can be implemented efficiently to enable real-time imaging of a sub-surface structure. The system, method can provide users with the ability to assess where their subsurface images are reliable and where they are not in order to assist in the selection of low-risk, high-reward sights indicated as having oil potential for drilling. The system, method allows users to estimate a degree of uncertainty to be expected when drilling in a specific location. The knowledge of this uncertainly can be used to guide drilling in real-time to reduce the time to oil (and thereby the cost of drilling), increase the efficiency of drill maintenance and reduce the risk associated with incorrectly identifying the depth at which pressure might spike.

Probablistic subsurface modeling for improved drill control and real-time correction

Systems and techniques for directing data collection. Upon an initial data collection, the uncertainty of all or of a portion or portions of the collected data is evaluated. The collected data may be associated with a region, with portions of the collected data associated with subregions. Further data collection, including changes to or refinement of collection techniques, is undertaken based on evaluations of the uncertainty. Further data collection may be undertaken only for portions of the data for which uncertainty exceeds a threshold. Uncertainty evaluation may be performed at least in part using a model. The model may be an initial hypothesis model, and the model may be optimized as further data is collected, and the optimized model may be used to guide further data collection techniques, with iterations of data collection and model optimization being carried out concurrently.

Methods and apparatus for data collection

Systems and techniques for computational load balancing. A problem space is partitioned into subspaces and the subspaces are assigned to processing nodes. The load of nodes associated with outer subspaces is compared with the load of nodes associated with inner subspaces, and partition boundary adjustments are made based on the relative loads of outer versus inner subspaces.

Methods and apparatus for processing load balancing in distributed problem processing

A system, method and computer program product for seismic imaging implements a seismic imaging algorithm utilizing Reverse Time Migration technique requiring large communication bandwidth and low latency to convert a parallel problem into one solved using massive domain partitioning. Several aspects of the imaging problem are addressed, including very regular and local communication patterns, balanced compute and communication requirements, scratch data handling and multiple-pass approaches. The partitioning of the velocity model into processing blocks allows each sub-problem to fit in a local cache, increasing locality and bandwidth and reducing latency. The RTM seismic data processing utilizes data that includes combined shot data, i.e., shot data selected from amongst a plurality of shots that are combined at like spatial points of the volume.

RTM seismic imaging using combined shot data

A system, method and computer program product for seismic imaging implements a seismic imaging algorithm utilizing Reverse Time Migration technique requiring large communication bandwidth and low latency to convert a parallel problem into one solved using massive domain partitioning. Several aspects of the imaging problem, including very regular and local communication patterns, balanced compute and communication requirements, scratch data handling and multiple-pass approaches. The partitioning of the velocity model into processing blocks allows each sub-problem to fit in a local cache, increasing locality and bandwidth and reducing latency.

RTM seismic imaging without scratch data storage system and method

A system and method implementing a hierarchical approach to RTM (Reverse Time Migration) seismic imaging at different granularity in space and time. An RTM seismic imaging algorithm utilizes RTM technique to convert a parallel problem into one solved using massive domain partitioning. In the method, a coarse-grain grid for the 3D volume of the geological subsurface structure under investigation is initially processed, permitting the RTM imaging process to be performed faster and produces lower level seismic image for inspection. Criteria are then applied to the first level of seismic image to determine whether to reject the image or whether a finer resolution seismic imaging is needed. In the case of finer resolution is needed, RTM resolution for the target volume is adjusted accordingly and RTM imaging process is applied with the new resolution. The process is repeated until either the image is accepted or rejected.

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Yorktown Heights, NY, United States of America

Michael Peter Perrone