Parallel Computing

Parallel computing on GPU systems enables fast execution of complex algorithms by splitting tasks. Multiple threads can be executed simultaneously on a single GPU core without significant overhead This allows for significant speedups in applications that rely heavily on matrix operations GPUs are designed to handle massive parallelism, making them ideal for data-intensive workloads OpenMP and CUDA programming models facilitate development of parallel applications on GPU systems