Block and grid dimensions are crucial parameters in parallel computing, particularly in the context of GPU programming, as they define the structure and size of the computation grid and blocks of threads. Properly configuring these dimensions can significantly impact the performance and efficiency of parallel algorithms by optimizing resource utilization and minimizing latency.