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Found 3 papers, 1 papers with code
BenchDirect: A Directed Language Model for Compiler Benchmarks
We improve this with BenchDirect which utilizes a directed LM that infills programs by jointly observing source code context and the compiler features that are targeted.
BenchPress: A Deep Active Benchmark Generator
We develop BenchPress, the first ML benchmark generator for compilers that is steerable within feature space representations of source code.
Learning to Encode and Classify Test Executions
We use the labelled traces to train a neural network (NN) model to learn to distinguish runtime patterns for passing versus failing executions for a given program.
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