Performance prediction and ranking of SpMV kernels on GPU architectures

DOI10.1007/978-3-319-43659-3_7zbMath1439.65234OpenAlexW2526627475MaRDI QIDQ1693256

Christoph Lehnert, Rudolf Berrendorf, Florian Mannuss, Jan P. Ecker

Publication date: 11 January 2018

Full work available at URL: https://doi.org/10.1007/978-3-319-43659-3_7

zbMATH Keywords

linear regressionperformance predictioninstance-based learningSpMVgradient-boostingk-nearest neighbors (KNN)

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Learning and adaptive systems in artificial intelligence (68T05) Complexity and performance of numerical algorithms (65Y20) Numerical algorithms for specific classes of architectures (65Y10)

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