👉 Roulette computing is a parallel computing technique that leverages the inherent randomness and parallelism of floating-point arithmetic to accelerate complex computations. It works by mapping a problem onto the structure of a roulette wheel, where each possible outcome corresponds to a unique bit position in the problem. During each iteration, a random number is generated within the wheel's range, and the corresponding bit position is activated. This process is repeated for all possible inputs, effectively exploring every potential solution simultaneously. By distributing the workload across many threads and utilizing the parallel nature of floating-point operations, roulette computing can significantly speed up tasks like linear algebra, optimization, and sampling problems.
