Review





Similar Products

cuda-enabled gpu  (Molecular Dynamics Inc)
90
Molecular Dynamics Inc cuda-enabled gpu
Cuda Enabled Gpu, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cuda-enabled+gpu/10__1103_slash_physrevc__105__044903-396-14-3?v=Molecular+Dynamics+Inc
Average 90 stars, based on 1 article reviews
cuda-enabled gpu - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier
cpu + cuda-enabled gpu  (MathWorks Inc)
90
MathWorks Inc cpu + cuda-enabled gpu
Overview over hardware and software requirements of the different functions for estimating L1-regularized linear models. The lasso function is part of the Statistics and Machine Learning Toolbox and only included here for benchmarking purposes (see main text). The lasso_mex, lasso_mexcuda and <t> lasso_gpu </t> functions introduced here are specifically optimized for the mass-univariate analysis approach and depend on different hardware and software configurations
Cpu + Cuda Enabled Gpu, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cuda-enabled+gpu/pmc08233242-3-2-7?v=MathWorks+Inc
Average 90 stars, based on 1 article reviews
cpu + cuda-enabled gpu - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier

Image Search Results


Overview over hardware and software requirements of the different functions for estimating L1-regularized linear models. The lasso function is part of the Statistics and Machine Learning Toolbox and only included here for benchmarking purposes (see main text). The lasso_mex, lasso_mexcuda and lasso_gpu functions introduced here are specifically optimized for the mass-univariate analysis approach and depend on different hardware and software configurations

Journal: Neuroinformatics

Article Title: Fast Estimation of L1-Regularized Linear Models in the Mass-Univariate Setting

doi: 10.1007/s12021-020-09489-1

Figure Lengend Snippet: Overview over hardware and software requirements of the different functions for estimating L1-regularized linear models. The lasso function is part of the Statistics and Machine Learning Toolbox and only included here for benchmarking purposes (see main text). The lasso_mex, lasso_mexcuda and lasso_gpu functions introduced here are specifically optimized for the mass-univariate analysis approach and depend on different hardware and software configurations

Article Snippet: lasso_gpu , CPU + CUDA-enabled GPU , Matlab, Parallel Computing Toolbox , ADMM , Matlab.

Techniques: Software