Рус Eng During last 365 days Approved articles: 2046,   Articles in work: 318 Declined articles: 834 
Library
Articles and journals | Tariffs | Payments | Your profile

Back to contents

Pekunov Vladimir Viktorovich

Doctor of Technical Science



153000, Russia, Ivanovskaya oblast', g. Ivanovo, ul. Tashkentskaya, 90

pekunov@mail.ru
Другие публикации этого автора
 

 

Abstract.


Keywords: automatic parallelizing, C programming language, Cilk, object-event models, algorithm recognition, algorithm transformation, program generation system, logical programming, task parallelism, parallel computations

DOI:

10.7256/2454-0714.2018.4.28086

Article was received:

07-12-2018


Review date:

24-12-2018


Publish date:

10-01-2019


This article written in Russian. You can find full text of article in Russian here .

References
1.
Voevodin V.V., Voevodin Vl.V. Parallel'nye vychisleniya. SPb.: BKhV-Peterburg, 2002. 608 s.
2.
Castro-Godínez, Jorge Alberto. Sequential code parallelization for multi-core embedded systems: A survey of models, algorithms and tools [Elektronnyi resurs] // Proyecto de Graduación (Maestría en Ingeniería en Electrónica) Instituto Tecnológico de Costa Rica, Escuela de Electrónica, 2014. URL: http://hdl.handle.net/2238/7128 (data obrashcheniya: 20.11.2018).
3.
Liao C., Quinlan D.J., Willcock J.J. et al. Semantic-Aware Automatic Parallelization of Modern Applications Using High-Level Abstractions // Int J Parallel Prog. 2010. Vol.38. P.361-378.
4.
Randive V., Vaidya V. G. Parallelization tools [Elektronnyi resurs]. URL: https://www.kpit.com/resources/downloads/research-papers/parallelization-tools.pdf (data obrashcheniya: 19.11.2018).
5.
Ancourt C., Coelho F., Creusillet B. and Keryell R. How to Add a New Phase in PIPS: the Case of Dead Code Elimination // Sixth Workshop «Compilers for Parallel Computers» (CPC 96). Aachen, 1996. P.19-30.
6.
Sistema ParaWise [Elektronnyi resurs]. URL: www.parallelsp.com (data obrashcheniya: 20.11.2018).
7.
Bakhtin V.A., Klinov M.S., Kryukov V.A., Podderyugina N.V. Avtomaticheskoe rasparallelivanie posledovatel'nykh programm dlya mnogoyadernykh klasterov. //Trudy Mezhdunarodnoi nauchnoi konferentsii "Nauchnyi servis v seti Internet: superkomp'yuternye tsentry i zadachi". M.: Izd-vo MGU, 2010. S.12-15.
8.
Klinov M.S., Kryukov V.A. Avtomaticheskoe rasparallelivanie Fortran-programm. Otobrazhenie na klaster. // Trudy mezhdunarodnoi nauchnoi konferentsii nauchnoi konferentsii "Parallel'nye vychislitel'nye tekhnologii" (PaVT'2009). Chelyabinsk: Izd-vo YuUrGU, 2009. S.227-237.
9.
Pekunov V.V. Avtomatizatsiya parallel'nogo programmirovaniya pri modelirovanii mnogofaznykh sred. Optimal'noe rasparallelivanie // Avtomatika i telemekhanika. 2008. №7. S.170-180.
10.
Pekunov V.V. Novye metody parallel'nogo modelirovaniya rasprostraneniya zagryaznenii v okrestnosti promyshlennykh i munitsipal'nykh ob''ektov // Dis. dokt. tekh. nauk. Ivanovo, 2009. 274 s.
11.
Troshina E.N., Chernov A.V. Instrumental'naya sreda vosstanovleniya iskhodnogo koda programmy-dekompilyator TyDec // Prikladnaya informatika. 2010. № 4 (28). S.73-97.
12.
Taherkhani A. Automatic Algorithm Recognition Based on Programming Schemas and Beacons: A Supervised Machine Learning Classification Approach [Elektronnyi resurs] // Doctoral Dissertation. Aalto University, 2013. 254 pp. URL: http://lib.tkk.fi/Diss/2013/isbn9789526049908/isbn9789526049908.pdf (data obrashcheniya: 19.11.2018).
13.
Shapovalov O.V., Andreev A.E., Fomenkov S.A. Razrabotka metodov avtomatizatsii rasparallelivaniya programm dlya sistem s obshchei pamyat'yu // Izvestiya YuFU. Tekhnicheskie nauki. 2015. №3 (164). S.24-35.