GPU Computing
Power limits restrict CPU speeds, but GPUs offer a solution for faster computing.
Initially designed for graphics, GPUs now handle general computing, thanks to advancements by NVIDIA, AMD, and Intel.
With hundreds of cores, GPUs significantly outperform CPUs in parallel processing tasks. Modern supercomputers, like Titan, utilize thousands of GPU cores for immense speed.
NVIDIA’s CUDA platform simplifies GPU programming, making it accessible for parallel tasks. While GPUs excel in parallelizable problems, they can be limited by data transfer rates and algorithm design.
NVIDIA’s Tesla GPUs provide high performance in both single and double precision calculations.
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