Accelerating GPU Kernels for Dense Linear Algebra

DOI10.1007/978-3-642-19328-6_10zbMath1323.65140OpenAlexW2146959317MaRDI QIDQ3081346

Rajib Nath, Stanimire Z. Tomov, Jack J. Dongarra

Publication date: 8 March 2011

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-19328-6_10

zbMATH Keywords

BLASGPUsGEMM

Mathematics Subject Classification ID

Packaged methods for numerical algorithms (65Y15) Numerical linear algebra (65F99) Numerical algorithms for specific classes of architectures (65Y10)

Related Items (4)

Efficient 6D Vlasov simulation using the dynamical low-rank framework \texttt{Ensign} ⋮ KBLAS ⋮ Randomized GPU Algorithms for the Construction of Hierarchical Matrices from Matrix-Vector Operations ⋮ Implementing Multifrontal Sparse Solvers for Multicore Architectures with Sequential Task Flow Runtime Systems

Uses Software

• Magma
• BLAS
• CUDA
• CUBLAS
• MAGMA

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