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公开(公告)号:US11797894B1
公开(公告)日:2023-10-24
申请号:US17098916
申请日:2020-11-16
Applicant: QUALCOMM TECHNOLOGIES, INC
Inventor: James Ezick , Jonathan Springer , Nicolas T. Vasilache
Abstract: In a system for enabling configuration of an ensemble of several solvers, such that the ensemble can efficiently solve a constraint problem, for each one of several candidate configurations, an array of scores is computed. The array corresponds to a statistical parameter related to a problem solution, and the computation is based on, at least in part, a set of features associated with the problem. One candidate configuration is assigned to a solver, and based on the array of scores associated with that candidate configuration the same or a different candidate configuration is assigned to a another solver. A system for dynamically reconfiguring an ensemble of solvers obtains runtime data from several solvers, and a new configuration is determined by applying a machine learning and/or heuristic analysis procedure to the runtime data. The configuration of a solver may be updated according to the new configuration while that solver is running.
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公开(公告)号:US11789769B2
公开(公告)日:2023-10-17
申请号:US16791361
申请日:2020-02-14
Applicant: QUALCOMM TECHNOLOGIES, INC.
Inventor: Muthu M. Baskaran , Thomas Henretty , M. H. Langston , Richard A. Lethin , Benoit J. Meister , Nicolas T. Vasilache , David E. Wohlford
CPC classification number: G06F9/4843
Abstract: In a system for automatic generation of event-driven, tuple-space based programs from a sequential specification, a hierarchical mapping solution can target different runtimes relying on event-driven tasks (EDTs). The solution uses loop types to encode short, transitive relations among EDTs that can be evaluated efficiently at runtime. Specifically, permutable loops translate immediately into conservative point-to-point synchronizations of distance one. A runtime-agnostic which can be used to target the transformed code to different runtimes.
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公开(公告)号:US11573945B1
公开(公告)日:2023-02-07
申请号:US17033592
申请日:2020-09-25
Applicant: QUALCOMM TECHNOLOGIES, INC.
Abstract: In a system for storing in memory a tensor that includes at least three modes, elements of the tensor are stored in a mode-based order for improving locality of references when the elements are accessed during an operation on the tensor. To facilitate efficient data reuse in a tensor transform that includes several iterations, on a tensor that includes at least three modes, a system performs a first iteration that includes a first operation on the tensor to obtain a first intermediate result, and the first intermediate result includes a first intermediate-tensor. The first intermediate result is stored in memory, and a second iteration is performed in which a second operation on the first intermediate result accessed from the memory is performed, so as to avoid a third operation, that would be required if the first intermediate result were not accessed from the memory.
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