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cs.DC2019
Efficient Interleaved Batch Matrix Solvers for CUDA
Andrew Gloster, Enda Carroll, Miguel Bustamante +1
In this paper we present a new methodology for data accesses when solving batches of Tridiagonal and Pentadiagonal matrices that all share the same LHS matrix. By only storing one…
cs.DC2019
cuSten -- CUDA Finite Difference and Stencil Library
Andrew Gloster, Lennon O'Naraigh
In this paper we present cuSten, a new library of functions to handle the implementation of 2D and batched 1D finite-difference/stencil programs in CUDA. cuSten wraps data handling…