Výsledky vyhledávání - "Gorshkov, Andrey"

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RISC-V RVV efficiency for ANN algorithms

Autor: Rumyantsev, Konstantin, Yakovlev, Pavel, Gorshkov, Andrey, Sokolov, Andrey P.

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 learning algorithms such as ANN (Approximate Nearest Neighbors). To improv

Externí odkaz: http://arxiv.org/abs/2407.13326

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Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors

Autor: Kozinov, Evgeny, Vasiliev, Evgeny, Gorshkov, Andrey, Kustikova, Valentina, Maklaev, Artem, Volokitin, Valentin, Meyerov, Iosif

The emergence and rapid development of the open RISC-V instruction set architecture opens up new horizons on the way to efficient devices, ranging from existing low-power IoT boards to future high-performance servers. The effective use of RISC-V CPUs

Externí odkaz: http://arxiv.org/abs/2405.11062

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Accelerating Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs

Autor: Chaudhary, Narendra, Pivovar, Alexander, Yakovlev, Pavel, Gorshkov, Andrey, Misra, Sanchit

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 (BH t-SNE) algorithm for large datasets. However, existing CPU implement

Externí odkaz: http://arxiv.org/abs/2212.11506

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