Gustafson's Law is a principle in computer science that addresses the scalability of parallel computing. It states that as the number of processors increases, the amount of work that can be done also increases, allowing for more efficient processing. This law emphasizes that the total workload can grow with the number of processors, leading to better performance in large-scale computations. Unlike Amdahl's Law, which focuses on the limitations of parallelism due to sequential tasks, Gustafson's Law suggests that the potential for speedup is greater when the problem size is allowed to expand. This makes it particularly relevant for applications that can benefit from increased resources.