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cs.PL2026
MLIR-Smith: A Novel Random Program Generator for Evaluating Compiler Pipelines
Berke Ates, Filip Dobrosavljević, Theodoros Theodoridis +1
Compilers are essential for the performance and correct execution of software and hold universal relevance across various scientific disciplines. Despite this, there is a notable l…
cs.PL2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis +6
Deep learning models with convolutional and recurrent networks are now ubiquitous and analyze massive amounts of audio, image, video, text and graph data, with applications in auto…