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Papers and conference papers

  1. Kustikova V., Vasilyev E., Khvatov A., Kumbrasiev P., Rybkin R., Kogteva N. DLI: Deep Learning Inference Benchmark // Communications in Computer and Information Science. V.1129. 2019. P. 542-553.

  2. Sidorova A.K., Alibekov M.R., Makarov A.A., Vasiliev E.P., Kustikova V.D. Automation of collecting performance indicators for the inference of deep neural networks in Deep Learning Inference Benchmark // Mathematical modeling and supercomputer technologies. Proceedings of the XXI International Conference (N. Novgorod, November 22–26, 2021). – Nizhny Novgorod: Nizhny Novgorod State University Publishing House, 2021. – 423 p. https://hpc-education.unn.ru/files/conference_hpc/2021/MMST2021_Proceedings.pdf. (In Russian)

  3. Alibekov M.R., Berezina N.E., Vasiliev E.P., Vikhrev I.B., Kamelina Yu.D., Kustikova V.D., Maslova Z.A., Mukhin I.S., Sidorova A.K., Suchkov V.N. Performance analysis methodology of deep neural networks inference on the example of an image classification problem // Russian Supercomputing Days (RSD-2023). - 2023. (In Russian)

  4. Alibekov M.R., Berezina N.E., Vasiliev E.P., Vikhrev I.B., Kamelina Yu.D., Kustikova V.D., Maslova Z.A., Mukhin I.S., Sidorova A.K., Suchkov V.N. Performance analysis methodology of deep neural networks inference on the example of an image classification problem // Numerical Methods and Programming. - 2024. - Vol. 25(2). - P. 127-141. - https://num-meth.ru/index.php/journal/article/view/1332/1264. (In Russian)

  5. Mukhin I., Rodimkov Y., Vasiliev E., Volokitin V., Sidorova A., Kozinov E., Meyerov I., Kustikova V. Benchmarking Deep Learning Inference on RISC-V CPUs // Springer Lecture Notes in Computer Science. – 2024. – Accepted.

  6. Sidorova A., Mukhin I., Kustikova V. Optimizing Deep Learning Inference on RISC-V CPUs within the OpenVINO Toolkit // Springer Communications in Computer and Information Science (CCIS). – 2024. – Accepted.

Habr papers

  1. Deep Learning Inference Benchmark - измеряем скорость работы моделей глубокого обучения (In Russian).
  2. DLI Benchmark — инструмент для измерения скорости работы моделей глубокого обучения (In Russian).
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