The paper analyzes the calculation of floating-point multiplication problems. The first chapter analyzes the translation of the floating-point decimal system to binary system and vice versa. It is necessary to make certain that the issue is clearly brought problem. High-precision decimal numbers translating into binary and back to decimal numbers. Even after these actions we have a loss of accuracy, and even more so come on in action. It is also the first chapter of the last section I presented some of the historical catastrophe of the facts that have arisen precisely because of the floating point precision problems.

The second chapter analyzes the hardware and software problems for the realization of floating-point multiplication. This chapter examined the influence of algorithms hardware speed, as well as a software power and accuracy of the results obtained in calculating the rates. It also includes a description and a few floating-point realization algorithms.

The third section of the Algorithm Implementation Requirements, described the main problems encountered in the realization of the algorithm. And summarize the results.

Work at the end of the conclusions and annexes of the algorithm implementation - programming code snippets and comments.

Raktažodžiai: floating point, double precision, multiplication