21 citations · 191 across the 67 of their papers we have counts for
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A Test for FLOPs as a Discriminant for Linear Algebra Algorithms
Aravind Sankaran, Paolo Bientinesi
Linear algebra expressions, which play a central role in countless scientific computations, are often computed via a sequence of calls to existing libraries of building blocks (suc…
MOM: Matrix Operations in MLIR
Lorenzo Chelini, Henrik Barthels, Paolo Bientinesi +3
Modern research in code generators for dense linear algebra computations has shown the ability to produce optimized code with a performance which compares and often exceeds the one…
FLOPs as a Discriminant for Dense Linear Algebra Algorithms
Francisco López, Lars Karlsson, Paolo Bientinesi
Expressions that involve matrices and vectors, known as linear algebra expressions, are commonly evaluated through a sequence of invocations to highly optimised kernels provided in…
Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch
Aravind Sankaran, Navid Akbari Alashti, Christos Psarras +1
Linear algebra operations, which are ubiquitous in machine learning, form major performance bottlenecks. The High-Performance Computing community invests significant effort in the…