Hashcat uses which parallel computing framework to run on CPUs and GPUs?

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Multiple Choice

Hashcat uses which parallel computing framework to run on CPUs and GPUs?

Explanation:
OpenCL is the framework designed for cross-platform parallel computing across diverse devices, including CPUs and GPUs from different vendors. Hashcat uses OpenCL so it can run efficiently on a wide range of hardware, whether AMD or NVIDIA GPUs or even CPUs, without being tied to a single vendor’s toolkit. CUDA, by contrast, is specific to NVIDIA GPUs, DirectCompute is tied to Windows DirectX and less portable, and Metal is the Apple-focused GPU API. Because the goal is to support multiple architectures with a single code path, OpenCL is the best fit for Hashcat.

OpenCL is the framework designed for cross-platform parallel computing across diverse devices, including CPUs and GPUs from different vendors. Hashcat uses OpenCL so it can run efficiently on a wide range of hardware, whether AMD or NVIDIA GPUs or even CPUs, without being tied to a single vendor’s toolkit. CUDA, by contrast, is specific to NVIDIA GPUs, DirectCompute is tied to Windows DirectX and less portable, and Metal is the Apple-focused GPU API. Because the goal is to support multiple architectures with a single code path, OpenCL is the best fit for Hashcat.

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