From ChatGPT with some prompting
The image is a schematic representation of GPU applications across three domains, emphasizing the GPU’s strength in parallel processing:
Image Processing: GPUs are employed to perform parallel updates on image data, which is often in matrix form, according to graphical instructions, enabling rapid rendering and display of images.
Blockchain Processing: For blockchain, GPUs accelerate the calculation of new transaction hashes and the summing of existing block hashes. This is crucial in the race of mining, where the goal is to compute new block hashes as efficiently as possible.
Deep Learning Processing: In deep learning, GPUs are used for their ability to process multidimensional data, like tensors, in parallel. This speeds up the complex computations required for neural network training and inference.
A common thread across these applications is the GPU’s ability to handle multidimensional data structures—matrices and tensors—in parallel, significantly speeding up computations compared to sequential processing. This parallelism is what makes GPUs highly effective for a wide range of computationally intensive tasks.
Lechuck Park 