The accuracy of spatial gene expression profiles generated by probe-based in situ spatially-resolved transcriptomic technologies depends on the specificity with which probes bind to their intended ...

The effect of tapering is to create a sparse approximate linear system that can then be solved using sparse matrix algorithms. Monte Carlo simulations support the theoretical results. An application ...

Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental operation in graph computing and analytics. However, the irregularity of real-world graphs poses significant challenges to achieving ...

A sparse camera array captures multiple images of a scene within the same spatial plane, enabling super-resolution reconstruction. However, existing methods often fail to fully exploit time as an ...

It introduces a bespoke sparse data format tailored for MoE computation and develops a specialized sparse-sparse matrix multiplication kernel. Furthermore, Samoyeds incorporates systematic ...

Solving a Single LP/QP Problem MPAX supports both dense and sparse formats for the constraint matrix, controlled by the use_sparse_matrix parameter.