Is GLMNET as a whole outclassed by SVM? Are there no exceptions?

Machine Learning and Modeling
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The paper 'A Reduction of the Elastic Net to Support Vector: Machines with an Application to GPU Computing' 'demonstrate on twelve real world data sets, that [SVM] yields identical results as
the popular (and highly optimized) glmnet implementation but is one or several orders of magnitude faster' with a GPU.

I'm unsure if there is another paper that looks at exceptions of this. Are there any exceptions?

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