High Speed Visualization in the JetOS Aviation Operating System Using Hardware Acceleration

The paper discusses details of the pilot display visualization that uses the hardware acceleration capabilities of the Vivante graphics processor in the JetOS aviation operating system. Previously the OpenGL Safety Critical library was implemented without hardware acceleration. This was done in such a way because software library is easier to certify in accordance with the avionics requirements. But usage of the software OpenGL does not provide acceptable visualization speed for modern Flight Display and 3D relief applications. So more complex visualization approach utilized the GPU acceleration capabilities was elaborated. Although the OpenGL library was implemented for a specific GPU and took into account its specificity, the described approach to adapt the MESA open source library can be used for other GPUs. An effective algorithm for multi-window visualization using the implemented library with hardware acceleration is present. The described approach allows you to achieve the visualization speed acceptable for the pilot display of the aircraft.

Using Cuda and Blockchain Technologies to Recover an Encrypted Pdf File Password

The article presents an algorithm for using parallel computing technology using CUDA and blockchain technology to recover the password for an encrypted PDF file. The analysis and comparison of the computational speed using a graphics processor (GPU) and a central processing unit (CPU) are carried out. The testing of the implemented algorithm is carried out. A statistical analysis of the results of experimental studies is presented.

The implementation of ”Kuznyechik” encryption algorithm using NVIDIA CUDA technology

In this paper, we discuss various options for implementing the ”Kuznyechik” block encryption algorithm using the NVIDIA CUDA technology. We use lookup tables as a basis for the implementation. In experiments, we study the influence of the size of the block of threads and the location of lookup tables on the encryption speed. We show that the best results are obtained when the lookup tables are stored in the global memory. The peak encryption speed reaches 30.83 Gbps on the NVIDIA GeForce GTX 1070 graphics processor.