Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Abstract: 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 ...

This project implements sparse data structures (1D sparse array and 2D sparse matrix) using doubly linked lists. Instead of storing large arrays and matrices full of zeros (wasting time and memory), ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 23, No. 3 (1974), pp. 448-454 (7 pages) ...

Fused3S is a CUDA kernel library that accelerates sparse attention by fusing Sampled Dense-Dense Matrix Multiplication (SDDMM), Softmax, and Sparse Matrix Multiplication (SpMM) into a single optimized ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 43, No. 3 (1994), pp. 533-540 (8 pages) This item is part of a JSTOR Collection. For ...

You have to hand it to ASUS and its Republic of Gamers (ROG) division, it's not afraid to experiment with bold GPU designs. Following the launch of gold-themed Dhahab Edition graphics cards paying ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...