
Целью данной работы ÑвлÑетÑÑ Ñ€ÐµÐ°Ð»Ð¸Ð·Ð°Ñ†Ð¸Ñ Ð¾ÐºÐ¾Ð½Ð½Ð¾Ð³Ð¾ алгоритма Ð´ÐµÐºÐ¾Ð´Ð¸Ñ€Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿Ð¾Ð»Ñрных кодов Ñ Ð±Ð¾Ð»ÑŒÑˆÐ¸Ð¼Ð¸ Ñдрами Ñ Ð¸Ñпользованием SIMD инÑтрукций, ÐºÐ¾Ñ‚Ð¾Ñ€Ð°Ñ Ð¾Ð±ÐµÑпечивала бы лучшую производительноÑть по Ñравнению Ñ ÐºÐ»Ð°ÑÑичеÑкой реализацией. Ð”Ð»Ñ Ð´Ð¾ÑÑ‚Ð¸Ð¶ÐµÐ½Ð¸Ñ Ð¿Ð¾Ñтавленной цели были выполнены Ñледующие задачи: изучен оконный алгоритм декодированиÑ, разработана Ñтруктура памÑти, позволÑÑŽÑ‰Ð°Ñ Ð²Ð½ÐµÐ´Ñ€Ñть векторные инÑтрукции. Ð’ результате реализован оконный алгоритм Ð´ÐµÐºÐ¾Ð´Ð¸Ñ€Ð¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð»Ñ ÐºÐ¾Ð´Ð¾Ð² Ñ Ñ€Ð°Ð·Ð½Ñ‹Ð¼Ð¸ Ñдрами Ñ Ð¸Ñпользованием векторных инÑтрукций. Ð”Ð°Ð½Ð½Ð°Ñ Ñ€ÐµÐ°Ð»Ð¸Ð·Ð°Ñ†Ð¸Ñ Ð¾Ð±ÐµÑпечивает прироÑÑ‚ производительноÑти до 115%.
The aim of this paper is to implement a window processing algorithm for decoding polar codes with large kernels using SIMD instructions, which would provide better performance compared to the classical implementation. To achieve the aim we deal with following tasks: the window processing algorithm was studied, a memory structure was developed that allows embedding vector instructions. As a result, a windowed processing algorithm is implemented for codes with different kernels using vector instructions. This implementation provides a performance boost of up to 115%.
window processing, code kernel, vector instructions, полÑÑнÑй код, polar code, оконнÑй алгоÑиÑм декодиÑованиÑ, ÑдÑо кода, векÑоÑнÑе инÑÑÑÑкÑии, SIMD
window processing, code kernel, vector instructions, полÑÑнÑй код, polar code, оконнÑй алгоÑиÑм декодиÑованиÑ, ÑдÑо кода, векÑоÑнÑе инÑÑÑÑкÑии, SIMD
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