[1. Alvarez-Cubero, J., P. Zufiria. A C++ Class for Analysing Vector Boolean Functions from a Cryptographic Perspective. – In: Proc. of International Conference on Security and Cryptography (SECRYPT’10), 2010, pp. 512-520.]Search in Google Scholar
[2. Andrade, J., G. Falcao, V. Silva. Optimized Fast Walsh-Hadamard Transform on GPUs for Non-Binary LDPC Decoding. – Parallel Computing, Vol. 40, 2014, No 9, pp. 449-453.10.1016/j.parco.2014.07.001]Abierto DOISearch in Google Scholar
[3. Bouyukliev, I., D. Bikov. Applications of the Binary Representation of Integers in Algorithms for Boolean Functions. – In: Proc. of 44th Spring Conference of the Union of Bulgarian Mathematicians, Mathematics and Education in Mathematics, 2015, pp. 161-166.]Search in Google Scholar
[4. Carlet, C. Boolean Functions for Cryptography and Error Correcting Codes. – In: C. Crama and P. Hammer, Eds. Boolean Models and Methods in Mathematics, Computer Science, and Engineering. Cambridge University Press, 2010, pp. 257-397.10.1017/CBO9780511780448.011]Search in Google Scholar
[5. Copeland, A. D., N. B. Chang, S. Lung. GPU Accelerated Decoding of High Performance Error Correcting Codes. – In: Proc. of 14th Annual Workshop on HPEC, Lexington, Massachusetts, USA, 2010.]Search in Google Scholar
[6. CUDA C Programming Guide. https://docs.nvidia.com/cuda/cuda-c-programming-guide/]Search in Google Scholar
[7. CUDA Homepage. http://www.nvidia.com/object/cudahomenew.html]Search in Google Scholar
[8. Demouth, J. Kepler’s Shuffle: Tips and Tricks. – GPU Technology Conference, 2013. http://on-demand.gputechconf.com/gtc/2013/presentations/S3174-Kepler-Shuffle-Tips-Tricks.pdf]Search in Google Scholar
[9. Good, I. J. The Interaction Algorithm and Practical Fourier Analysis. – Journal of the Royal Statistical Society, Vol. 20, 1958, No 2, pp. 361-372.10.1111/j.2517-6161.1958.tb00300.x]Search in Google Scholar
[10. Joux, A. Algorithmic Cryptanalysis. Chapman & Hall/CRC Cryptography and Network Security Series, 2009.]Search in Google Scholar
[11. Karpovsky, M. G., R. S. Stankovic, J. T. Astola. Spectral Logic and Its Applications for the Design of Digital Devices. Wiley, 2008.10.1002/9780470289228]Search in Google Scholar
[12. Kirk, D. B., We n-me i W. Hw u. Programming Massively Parallel Processors: A Hands-on Approach. Elsevier, 2013.]Search in Google Scholar
[13. Kurzak, J., D. A. Bader, J. Dongarra. Scientific Computing with Multicore and Accelerators. CRC Press, 2010.10.1201/b10376]Search in Google Scholar
[14. Lindholm, E., J. Nickolls, S. Oberman, J. Montrym. NVIDIA Tesla: A Unied Graphics and Computing Architecture. – IEEE Micro, Vol. 28, 2008, Issue 2.10.1109/MM.2008.31]Search in Google Scholar
[15. Lobeiras, J., M. Amor, R. Doallo. BPLG: A Tuned Buttery Processing Library for GPU Architectures. – International Journal of Parallel Programming, Vol. 43, 2015, No 6, pp. 1078-1102.10.1007/s10766-014-0323-8]Search in Google Scholar
[16. Maciol, P., K. Banas. Testing Tesla Architecture for Scientific Computing: The Performance of Matrix-Vector Product. – In: Computer Science and Information Technology, IMCSIT 2008, pp. 285-291.10.1109/IMCSIT.2008.4747253]Search in Google Scholar
[17. MATLAB Platform for Solving Engineering and Scientific Problems. https://www.mathworks.com/products/matlab/]Search in Google Scholar
[18. NVIDIA GeForce GT 740M Specification. http://www.geforce.com/hardware/notebook-gpus/geforce-gt-740m]Search in Google Scholar
[19. NVIDIA GeForce GTX TITAN Specification. http://http://www.geforce.com/hardware/desktop-gpus/geforce-gtx-titan/specifications]Search in Google Scholar
[20. NVIDIA: CUDA cuFFT Library. http://docs.nvidia.com/cuda/cufft/]Search in Google Scholar
[21. Owens, J.D., M. Houston, D. Luebke, S. Green, J. E. Stone, J. C. Phillips. GPU Computing. – Proc. of IEEE, Vol. 96, 2008, No 5, pp. 879-899.10.1109/JPROC.2008.917757]Abierto DOISearch in Google Scholar
[22. Picek, S., L. Batina, D. Jakobovic, B. Ege, M. Golub. S-Box, SET, Match: A Toolbox for S-Box Analysis. – In: Information Security Theory and Practice. Securing the Internet of Things, Lecture Notes in Computer Science, Vol. 8501, 2014, pp. 140-149.]Search in Google Scholar
[23. Sage Mathematics Software. http://www.sagemath.org/]Search in Google Scholar
[24. Shucai, Xiao, Wu-chun Feng. Inter-Block GPU Communication via Fast Barrier Synchronization. – In: IEEE International Symposium on Parallel & Distributed Processing (IPDPS’10), 2010.10.1109/IPDPS.2010.5470477]Search in Google Scholar