Matrix multiplication is an important kernel in linear algebra algorithms, and the performance of both serial and parallel implementations is highly dependent on the memory system...
Siddhartha Chatterjee, Alvin R. Lebeck, Praveen K....
— This paper introduces an approach that reduces the size of the state and maximizes the sparsity of the information matrix in exactly sparse delayed-state SLAM. We propose const...
Let NF(n, k, r) denote the maximum number of columns in an n-row matrix with entries in a finite field F in which each column has at most r nonzero entries and every k columns are...
Previous research has shown that a global multiple scattering simulation is needed to achieve physically realistic renderings of hair, particularly light-colored hair with low abs...
Abstract. This paper presents a study of performance optimization of dense matrix multiplication on IBM Cyclops-64(C64) chip architecture. Although much has been published on how t...
Ziang Hu, Juan del Cuvillo, Weirong Zhu, Guang R. ...