1. Field of the Invention
This invention relates in general to the field of microelectronics, and more particularly to a random number generation apparatus for use within an integrated circuit.
2. Description of the Related Art
Many present day computer-based applications rely heavily on the availability of random numbers. What has historically been the province of scientific programmers has more recently crept over into the commercial realm.
In prior years, large and powerful computing systems utilized random numbers for use within simulation programs to realistically model stochastic properties of phenomena of interest, such as the flow of traffic within a large network of computers.
And while the requirement for efficient and convenient generation of random numbers has not declined with respect to the modeling and simulation areas, because technological advances have provided more computing power to desktop computers in more recent years, such requirements have been imposed on the elements of desktop computers themselves. In fact, processing power increases in desktop computing have given rise to entirely new application areas that depend upon the generation of random numbers. For instance, random numbers are now widely used within many computer games to locate, say, asteroids or enemy fighters. To be acceptable to the consumer as a credible representation of reality, computer games must simulate their corresponding phenomena of interest in the same probabilistic fashion as one would expect such phenomena to occur in real life.
Another application area that depends upon the availability of random numbers is cryptography, an area that continues to provide very demanding criteria for random number generation. Within this field, random numbers are employed as cryptographic keys that are used by algorithms to encrypt and decrypt electronic files or streams of data for storage or transmission. For example, random keys are generated to encrypt financial data as secure electronic transactions are processed over the Internet. Remarkably, it is becoming more and more commonplace to find that ordinary electronic mail messages and the like are being encrypted for transmission between parties.
At present, most of the random number generation within desktop computing systems is accomplished within an application program. This form of generation is known as pseudo-random number generation because generation of the numbers employs a mathematical algorithm to produce a sequence of independent numbers that comport with a uniform probability distribution. Typically, a “seed” number is initially selected, then the algorithm proceeds to crank out numbers that appear to be random, but that are entirely deterministic in nature given knowledge of the seed. To be truly random, a random number generator must be based upon random attributes of some physical devices, such as the thermal noise generated across a diode or resistor.
Some hardware-based random number generators are available as separate integrated circuits, but to date, no hardware technique or approach exists that lends itself to incorporation within a microprocessor circuit. And since a microprocessor is the heart of any desktop computing system, it is advantageous for random numbers to be generated directly within the microprocessor itself.
Therefore, what is needed is a hardware-based random number generator that is easily incorporated into an integrated circuit design, and in particular, into the design of a present day microprocessor.
In addition, what is needed is a random number generation apparatus that utilizes logic elements which are common to those used within a microprocessor integrated circuit.
USPTO Backgrounds
USPTO Backgrounds