GPU Acceleration
GPU acceleration is the process of offloading computational tasks from a central processing unit (CPU) to a graphics processing unit (GPU) to achieve faster performance through parallel processing. This technique shines in data-intensive applications like machine learning and video editing, where GPUs handle thousands of simultaneous operations that would bog down a CPU, making it a game-changer in modern tech workflows.
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A single modern GPU can perform over 50 trillion floating-point operations per second, enabling breakthroughs like the rapid training of AI models such as GPT-4, which otherwise might take months on traditional CPUs. This immense power has also been harnessed for scientific endeavors, like simulating protein folding in projects such as Folding@home, where distributed GPU networks have accelerated drug discovery for diseases like COVID-19.
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