👉 Bullet computing is an innovative approach to parallel computing that focuses on reducing communication overhead between processors by minimizing data movement and maximizing the efficiency of shared memory systems. It achieves this through a technique called "binary partitioning," where data is divided into blocks that can be processed independently by different processors, and then these blocks are assigned to specific processors based on their memory locations. This ensures that each processor works with data that is as close as possible to its local memory, reducing the need for costly data transfers across the network. By optimizing data locality and minimizing synchronization points, bullet computing enhances performance in parallel applications, particularly in high-performance computing environments where shared memory architectures are prevalent.
