Yes, that simple question is, in the modern Nvidia world that has come to dominate AI training and to a certain extent HPC simulation and modeling, heretical. But given that CPUs are in many cases ...

Abstract: Spatial non-stationarity channel estimation for uplink massive MIMO systems can be formulated as a non-uniform block sparse signal recovery problem, in which the hierarchical sparsity of the ...

Abstract: This paper proposes the VisibilityCluster algorithm for efficient visibility approximation and representation in many-light rendering. By carefully clustering lights and shading points, we ...

Quantum computers can outperform their classical counterparts at some tasks, but the full scope of their power is unclear. A new quantum algorithm hints at the possibility of far-reaching applications ...

A vast amount of time series datasets are organized into structures with different levels or hierarchies of aggregation. Examples include cross-sectional aggregations such as categories, brands, or ...

The integration of multi-omics data, including genomics, transcriptomics, proteomics, and metabolomics, has revolutionized our understanding of complex biological processes. This topic is centered ...

to the genome generation options, which is used by CellRanger to generate STAR genomes. It will generate sparse suffixs array which has an additional benefit of fitting into 16GB of RAM. However, it ...