On evaluating their most recent GPU code to solve a sparse triangular matrix, Li observes, “Our triangular solver is on average 5.5× faster than NVIDIA’s cuSPARSE. For a matrix from the ExaSGD ECP ...

A new whitepaper looks at Accelerated Sparse Triangular Linear Systems: “Fresh from NVIDIA Numeric Libraries Team, a white paper illustrating the use the CUSPARSE and CUBLAS libraries to achieve a 2x ...

Sparse Matrix: A matrix in which the majority of elements are zero, enabling specialised storage and computational strategies. GPU: Graphics Processing Unit, a specialised processor designed to ...

SparseP software package provides 25 SpMV kernels for real PIM systems supporting the four most widely used compressed matrix formats, and a wide range of data types. Our extensive evaluation provides ...

The classic sparse matrix screen based on Jancaric and Kim (1991) and modified by Cudney et al (1994). Samples salts, polymers, organics and pH (see conditions). Helsinki Random II A combined sparse ...

A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models, particularly focusing on structured sparsity. Structured sparsity involves a ...

Triangular forms may be obtained constructively using sequences of elementary transformations based on elementary matrix algebra. Our main result is to define a unique canonical form for prime-power ...