Abstract:
Embodiments for crash recoverability for graphics processing units (GPUs) by a processor. GPU application data and kernel execution state of one or more GPUs may be checkpointed. The checkpointed GPU application data and the kernel execution state may be recovered. The checkpointed GPU application data and the kernel execution state may be persisted on non-volatile memory.
Abstract:
A method for predicting and managing an occurrence of a power outage resulting from human activity, the method comprising the steps of: obtaining at least one short-term notification of a planned human activity event; generating a corrected human activity notification as a function of the short-term notification and data corresponding to power grid information, geographical information relating to the power grid and customers utilizing the power grid, power grid customer information, and/or historical information corresponding to prior power outages resulting from human activity events; generating an outage probability as a function of the corrected human activity notification and trained predictive modeling data; generating an optimization model as a function of the outage probability; and initiating at least one action for mitigating the occurrence of the power outage resulting from human activity as a function of the optimization model.
Abstract:
Determining optimum values for Map Reduce parameters by identifying parameters that affect performance of a Map Reduce job, determining a relationship between each of the identified parameters and a maximization of resource utilization for a plurality of computing resources configured for executing the Map Reduce job, representing a workflow based upon supply-demand relationships among the plurality of computing resources, modeling an execution cost as a function of the plurality of identified parameters, formulating a non-linear programming problem to minimize the execution cost, reformulating the non-linear programming problem as a linear programming problem, and solving the linear programming problem to determine a combination of parameter values for the plurality of identified parameters that minimizes the execution cost for the Map Reduce job.
Abstract:
There are provided a system, a method and a computer program product for generating an optimal preventive maintenance/replacement schedule for a set of assets. The method includes receiving data regarding an asset, said data including a failure rate function of said asset, a cost of preventative maintenance (PM) of said asset, a cost of an asset failure, and a cost of replacing an asset. An optimal number K of preventative maintenance time intervals tk and an indication of a possible replacement is computed and stored for each asset by minimizing a mean cost-rate value function with respect to an electrical age of the asset. A first PM schedule is formed without consideration of labor and budget resource constraints. The method further generates a second maintenance schedule for a system of assets by minimizing a deviation from the optimal PM time intervals subject to the labor and budget resource constraints.
Abstract:
A method, system and apparatus for operating an energy-using device are disclosed. Current data related to operation of the energy-using device is received at a remote device. An operating specification for the energy-using device is received at the remote device from a database. A recommended setting of the energy-using device is determined from the current data and the operating specification. The remote device communicates the recommended setting to the energy-using device. A control unit at the energy-using device receives the recommended setting and implements the recommended setting at the energy-using device.
Abstract:
An exemplary method includes solving on a computing system an optimal power flow formulation for a plurality of generators in a power system. The solving includes computing using multi-threaded parallelism a plurality of constraints for the formulation, computing using multi-threaded parallelism a plurality of Jacobian functions of the constraints, and computing using multi-threaded parallelism a Hessian of Lagrangian functions. The method further includes outputting results of the solving, wherein the results comprise values of generation levels for the plurality of generators. Apparatus and program products are also disclosed.
Abstract:
A method includes determining whether transformer phases should be permuted. The method includes, responsive to a determination that the transformer phases should be permuted, permuting the transformer phases, based on historical aging information of transformer input phases, to cause transformer input phases with higher ages to be connected to transformer output phases with lower output loads and transformer input phases with lower ages to be connected to transformer output phases with higher output loads. Multiple apparatus and program products are also disclosed.
Abstract:
A method, system and apparatus for operating an energy-using device are disclosed. Current data related to operation of the energy-using device is received at a remote device. An operating specification for the energy-using device is received at the remote device from a database. A recommended setting of the energy-using device is determined from the current data and the operating specification. The remote device communicates the recommended setting to the energy-using device. A control unit at the energy-using device receives the recommended setting and implements the recommended setting at the energy-using device.
Abstract:
The present disclosure relates generally to the field of distributed charging of electrical assets. In various examples, distributed charging of electrical assets may be implemented in the form of systems, methods and/or algorithms.
Abstract:
A computer-implemented method for generating an abstract meaning representation (“AMR”) of a sentence, comprising receiving, by a computing device, an input sentence and parsing the input sentence into one or more syntactic and/or semantic graphs. An input graph including a node set and an edge set is formed from the one or more syntactic and/or semantic graphs. Node representations are generated by natural language processing. The input graph is provided to a first neural network to provide an output graph having learned node representations aligned with the node representations in the input graph. The method further includes predicting via a second neural network, node label and predicting, via a third neural network, edge labels in the output graph. The AMR is generated based on the predicted node labels and predicted edge labels. A system and a non-transitory computer readable storage medium are also disclosed.