TECHNOLOGICAL AND DIELECTRIC PROPERTIES OF RESINS FOR DLP 3D PRINTING WITH ADDITIVES OF AL2O3 AND CTS-19 POWDERS

Modern society demands require solving a whole range of computationally intensive tasks in realtime. Such solutions require enormous computing power, broadband high-speed data transmission channelsand impressive memory capacities. Such demands can be met by developing and implementing newtechnologies, expanding the technical infrastructure, which will require significant financial and timecosts. Such a transition can be facilitated using the existing technical base by using real-time data compressionalgorithms. Data compression tools at the rate of receipt can increase the speed of calculations,data transfer, and reduce the occupied space during storage, using the existing infrastructure. ModernCPU-based technical platforms are not capable of providing streaming data processing at the rate of theirreceipt; the actual performance of such systems does not exceed 10% of the peak. Reconfigurable computingsystems (RCS) based on programmable logic integrated circuits (FPGAs) can become a new platformfor lossless data compression systems at the rate of receipt. However, for the efficient operation of suchsystems, it is necessary to develop new methods using structural calculations that allow the full potentialof the FPGA resource to be unleashed. This paper presents the implementation of a modification of thedynamic Huffman coding algorithm on the RCS, which allows creating prefix codes of optimal length andprocessing dense data flows at the rate of receipt with a throughput of at least 128 Gbit/s. The performanceof the developed modification is 5 times higher than the best known complementary implementationbased on FPGA per computing pipeline