COMPARATIVE STUDY OF CUDA GPU IMPLEMENTATIONS IN PYTHON WITH THE FAST ITERATIVE SHRINKAGE-THRESHOLDING ALGORITHM FOR LASSO

Comparative Study of CUDA GPU Implementations in Python With the Fast Iterative Shrinkage-Thresholding Algorithm for LASSO

A general-purpose GPU (GPGPU) is employed in a variety of domains, including accelerating the spread of deep natural network models; however, further research into its effective implementation is needed.When using the compute unified device read more architecture (CUDA), which has recently gained popularity, the situation is analogous to use the GP

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Pedicle screw insertion into infected vertebrae reduces operative time and range of fixation in minimally invasive posterior fixation for thoracolumbar pyogenic spondylitis: a multicenter retrospective cohort study

Abstract Background Minimally invasive posterior fixation surgery for pyogenic spondylitis is known to reduce invasiveness and complication rates; however, the outcomes of concomitant insertion of pedicle screws (PS) into the infected vertebrae via the posterior approach are undetermined.This study aimed to assess the safety and efficacy of PS inse

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