SPNC: An Open-Source MLIR-Based Compiler for Fast Sum-Product Network Inference on CPUs and GPUs

2022 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)(2022)

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摘要
Sum-Product Networks (SPNs) are an alternative to the widely used Neural Networks (NNs) for machine learning. SPNs can not only reason about (un)certainty by qualifying their output with a probability, they also allow fast (tractable) inference by having run-times that are just linear w.r.t. the network size.We present SPNC, the first tool flow for generating fast native code for SPN inference on ...
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关键词
Training,Codes,Semantics,Graphics processing units,Machine learning,Libraries,Task analysis
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