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Found 3 papers, 1 papers with code
FT K-means: A High-Performance K-means on GPU with Fault Tolerance
K-means is a widely used algorithm in clustering, however, its efficiency is primarily constrained by the computational cost of distance computing.
Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality
Instead of scrutinizing interdependencies among parameters and routines, practitioners often face the dilemma of conducting independent tuning searches for each routine, thereby overlooking interdependence, or pursuing a more resource-intensive joint search for all routines.
6 nm super-resolution optical transmission and scattering spectroscopic imaging of carbon nanotubes using a nanometer-scale white light source
Optical hyperspectral imaging based on absorption and scattering of photons at the visible and adjacent frequencies denotes one of the most informative and inclusive characterization methods in material research.
Super-Resolution
Optics
Materials Science
