1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
RISC-V RVV efficiency for ANN algorithms
Konstantin Rumyantsev, Pavel Yakovlev, Andrey Gorshkov +1
Handling vast amounts of data is crucial in today's world. The growth of high-performance computing has created a need for parallelization, particularly in the area of machine lear…
cs.LG2022★ 1 cited
Accelerating Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs
Narendra Chaudhary, Alexander Pivovar, Pavel Yakovlev +2
t-SNE remains one of the most popular embedding techniques for visualizing high-dimensional data. Most standard packages of t-SNE, such as scikit-learn, use the Barnes-Hut t-SNE (B…