| Hi, thanks for your response.I am using t-SNE to visualize sets of contextualized word embeddings generated by BERT encoders. The datasets each contain approximately 100,000 vectors, of 768 dimensions each; I am using t-SNE to reduce the the datasets to 2 dimensions to  enable visualization of the data, to see the clusters and outliers therein.
 Regarding running time requirements: I'm hoping for a solution which can generate the t-SNE result for a given dataset within a minute or so, or at most within 5-10 minutes, given 30 parallel threads.
 
 
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