Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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. Because all the data and computational requirements of the point processors are determined at compile time, the point processors do not need to perform any dynamic scheduling, allowing for a greater proportion of on-chip area to be allocated towards useful computation.

Abstract: Embodiments relate to a system for solving partial differential equations. The system receives problem packages corresponding to problems to be solved, each comprising at least 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 a series of tiles, each having a computational element and a router, and are configured and connected based on a discretized form of the partial differential equation, to allow each point processor to receive a node of the domain and generate a value for the node for a next time step. Because all the data and computational requirements of the point processors are determined at compile time, no dynamic scheduling needs to be performed, allowing for more efficient usage of computational resources.

Abstract: 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.

Abstract: 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.

Abstract: 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.