Vorticity Inc.

X Development LLC

Wing Aviation LLC

Chirath Neranjena Thouppuarachchi

Gregory Lewis Whiting

James Ryan Burgess

Ross Geoffrey Daly

Embodiments relate to a system for solving partial differential equations. The system receives a problem to be solved comprising a partial differential equation and a domain. A solver stores a plurality of nodes of the domain corresponding to a first time-step, and processes the nodes over a plurality of time-steps using an array of point processors. Each point processor comprises an ALU and a register file, and is configured to receive data corresponding to a respective node of a domain and generate a value for the node for a next time step, based upon instructions received over time via an instruction stream.

Compute time point processor array for solving partial differential equations

Embodiments relate to a computing system for solving differential equations. The system is configured to receive problem packages corresponding to problems to be solved, each comprising at least a differential equation and a domain, and to select a solver of a plurality of solvers, based upon availability of each of the plurality of solvers. A dispatch computer selects a solver by monitoring the plurality of solvers, and responsive to a solver becoming available, determines if a received problem package having at least a threshold priority level can be solved by the solver. Otherwise, the dispatch computer generates a plurality of solver scenarios each reflecting a permutation of received problem packages assigned to solvers estimated to become available within a threshold period of time, and assigns the problem packages in accordance with a solver scenario having a highest utilization score.

Methods for utilizing solver hardware for solving partial differential equations

Embodiments relate to a computing system for solving differential equations. The system is configured to receive problem packages corresponding to problems to be solved, each comprising at least a differential equation and a domain, and to select a solver of a plurality of solvers, based upon availability of each of the plurality of solvers. Each solver comprises a coordinator that partitions the domain of the problem into a plurality of sub-domains, and assigns each of the plurality of sub-domains to a differential equation accelerator (DEA) of a plurality of DEAs. Each DEA comprises at least two memory units, and processes the sub-domain data over a plurality of time-steps by passing the sub-domain data through a selected systolic array from one memory unit, and storing the processed sub-domain data in the other memory unit, and vice versa.

Dedicated hardware system for solving partial differential equations

Embodiments relate to a system for solving differential equations. The system is configured to receive problem packages corresponding to problems to be solved, each comprising at least a differential equation and a domain. A solver stores a plurality of nodes of the domain corresponding to a first time-step, and processes the nodes over a plurality of time-steps using a systolic array comprising hardware for solving the particular type of the differential equation. The systolic array processes each node to generate a node for a subsequent time-step using a sub-array comprising a plurality of branches, each branch comprising a respective set of arithmetic units arranged in accordance with a corresponding term of the discretized form of the differential equation, and an aggregator configured to aggregate the corresponding terms from each branch to generate node data for the subsequent time-step.

Systolic array design for solving partial differential equations

Apparatus and methods related to aviation communications are included. A computing device can receive position data indicating a position of an aerial vehicle. The position can include an altitude. The computing device can determine, from a plurality of possible airspace classifications, a first airspace classification at the position of the aerial vehicle, where each airspace classification specifies one or more communication parameters for communication within an associated airspace. The computing device can select, from a plurality of communication repositories, a first communication repository that is associated with the first airspace classification, where each communication repository specifies a set of pre-defined communication components for at least one associated airspace classification. The computing device can generate a communication related to the aerial vehicle using the first communication repository. The computing device can send the generated communication to at least one recipient.

Automated air traffic communications

Apparatus and methods related to autonomous aerial communications are included. A computing device can detect data associated with relevant events, determine information related to the event that should be communicated and a target aerial vehicle for that information, identify one or more operational parameters of the target aerial vehicle, and, based on those operational parameters, select a language associated with the target aerial vehicle, and generate and transmit a message expressing that information in the selected language to the target aerial vehicle. In a further aspect, a computing device can detect data associated with relevant events, determine information related to the event that should be communicated and a target recipient for that information, identify one or more operational parameters of the target recipient, and, based on those operational parameters, select a language associated with those operational parameters, and generate and transmit a message expressing that information in the selected language to the target recipient.

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Redwood City, CA, United States of America

Chirath Neranjena Thouppuarachchi