Feder E., Paramonov A., Mavrin P., Salem I., Schmid S., Aksenov V. Toward Self-Adjusting k-Ary Search Tree Networks. 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). 2024. pp. 1209-1211.
Aksenov V., Brown T., Fedorov A., Kokorin I. Unexpected Scaling in Path Copying Trees. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP. 2023. pp. 438-440.
Aksenov V., Anoprenko M., Fedorov A., Spear M. Brief Announcement: BatchBoost: Universal Batching for Concurrent Data Structures. Leibniz International Proceedings in Informatics, LIPIcs. 2023. Vol. 281. pp. 35.
Aksenov V., Paramonov A., Salem I., Schmid S. Self-adjusting Linear Networks with Ladder Demand Graph. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. Vol. 13892. pp. 132-148.
Aksenov V., Alistarh D., Drozdova A., Mohtashami A. The splay-list: a distribution-adaptive concurrent skip-list. Distributed Computing. 2023. Vol. 36. No. 3. pp. 395-418.
Региональная студенческая математическая олимпиада Санкт-Петербурга 2023
Feder E., Rathod I., Shyamsukha P., Sama R., Aksenov V., Salem I., Schmid S. Lazy Self-Adjusting Bounded-Degree Networks for the Matching Model. 41st IEEE Conference on Computer Communications, INFOCOM 2022. 2022. pp. 1089-1098.
Фокин Г., Григорьев В.В., Аксенов В.Е. Технология сетевого позиционирования LTE Часть 2. Форматы оценок координат. Первая миля. 2022. № 7(107). С. 60-71.
Региональная студенческая математическая олимпиада Санкт-Петербурга 2022
Feder E., Rathod I., Shyamsukha P., Sama R., Aksenov V., Salem I., Schmid S. Brief Announcement: Toward Self-Adjusting Networks for the Matching Model. Annual ACM Symposium on Parallelism in Algorithms and Architectures. 2021. pp. 429-431.
Aksenov V., Gramoli V., Kuznetsov P., Shang D., Ravi S. Optimal Concurrency for List-Based Sets. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12942. pp. 386-401.
Aksenov V., Ben-Baruch O., Hendler D., Kokorin I., Rusanovsky M. Execution of NVRAM Programs with Persistent Stack. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12942. pp. 117-131.
Koval N., Aksenov V. Restricted memory-friendly lock-free bounded queues. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP. 2020. pp. 433-434.
Aksenov V., Alistarh D., Drozdova A., Mohtashami A. The Splay-List: A Distribution-Adaptive Concurrent Skip-List. Leibniz International Proceedings in Informatics, LIPIcs. 2020. Vol. 179. pp. 3:1-3:18.
Aksenov V.E., Alistarh D., Korhonen J. Relaxed Scheduling for Scalable Belief Propagation. Advances in Neural Information Processing Systems. 2020. pp. 1-12.
Aksenov V.E., Kuznetsov P., Shalyto A.A. On Helping and Stacks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11028. pp. 107-121.
Aganezov S., Zban I., Aksenov V., Alexeev N.V., Schatz M.C. Recovering rearranged cancer chromosomes from karyotype graphs. BMC Bioinformatics. 2019. Vol. 20. pp. 641.
Aksenov V., Kuznetsov P., Shalyto A.A. Parallel combining: Benefits of explicit synchronization. Leibniz International Proceedings in Informatics, LIPIcs. 2019. pp. 11.
Acar U.A., Aksenov V., Chargueraud A., Rainey M. Provably and practically efficient granularity control. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP. 2019. pp. 214-228.
Acar U.A., Aksenov V., Chargueraud A., Rainey M. Performance challenges in modular parallel programs. ACM SIGPLAN Notices. 2018. Vol. 53. No. 1. pp. 381-382.
Aksenov V.E., Alistarh D., Kuznetsov P. Brief Announcement: Performance Prediction for Coarse-Grained Locking. 37th ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing, PODC 2018. 2018. pp. 411-413.
Acar U.A., Aksenov V.E., Chargueraud A., Rainey M. Performance challenges in modular parallel programs. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP. 2018. pp. 381-382.
Региональная студенческая математическая олимпиада Санкт-Петербурга 2018 г.
Восстановление геномных последовательностей особей по чтениям метагенома
Acar U.A., Aksenov V.E., Westrick S. Brief Announcement: Parallel Dynamic Tree Contraction via Self-Adjusting Computation. Annual ACM Symposium on Parallelism in Algorithms and Architectures. 2017. Vol. Part F129316. pp. 275-277.
Aksenov V.E., Gramoli V., Kuznetsov P., Malova A., Ravi S. A Concurrency-Optimal Binary Search Tree. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2017. Vol. 10417. pp. 580-593.
Science in a Competitive Format
Aksenov V.E., Kokhas K.P. Calculation of Pfaffians by a Chip Removal. Journal of Mathematical Sciences. 2016. Vol. 215. No. 6. pp. 631-648.
Режим неизвестности при решении задачи гранулярности методом оракула
Аксенов В.Е., Кохась К.П. Удаление чипов. Urban Renewal revisited. Записки научных семинаров Санкт-Петербургского отделения Математического института им. В.А.Стеклова РАН. 2015. Т. 432. С. 5-29.
Аксенов В.Е., Кохась К.П. Удаление чипов при подсчете пфаффианов. Записки научных семинаров Санкт-Петербургского отделения Математического института им. В.А.Стеклова РАН. 2015. Т. 436. С. 5-33.
Aksenov V.E., Kokhas K.P. Chip Removal. Urban Renewal Revisited. Journal of Mathematical Sciences. 2015. Vol. 209. No. 6. pp. 809-825.
Аксенов В.Е., Кохась К.П. Разбиения на домино и определители. Записки научных семинаров Санкт-Петербургского отделения Математического института им. В.А.Стеклова РАН. 2014. Т. 421. № 22. С. 5-18.
Aksenov V., Kokhas K. Domino Tilings and Determinants. Journal of Mathematical Sciences. 2014. Vol. 200. No. 6. pp. 647-653.
СВЯЗЬ МЕЖДУ КОМБИНАТОРНЫМИ ОБЪЕКТАМИ И ИХ АЛГЕБРАИЧЕСКИМИ ХАРАКТЕРИСТИКАМИ
Автоматизация генерации случайных тестов для олимпиадных задач по программрованию
Автоматизация генерации случайных тестов для олимпиадных задач по программированию
Российская Федерация, Москва
Российская Федерация, Москва
Российская Федерация, Санкт-Петербург
Российская Федерация, Новосибирск
Болгария
Венгрия, Будапешт
Чешская Республика, Острава