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General-Purpose GPUs (GPGPUs)
General-Purpose GPUs (GPGPUs) are graphics processing units that have been optimized by chip manufacturers to handle general computing operations beyond traditional graphics rendering. By supporting high-throughput matrix-vector products, these hardware architectures provided the crucial computational power required to train deep neural networks effectively.
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D2L
Dive into Deep Learning @ D2L
Related
CPU vs. GPU Architecture in Deep Learning
AlexNet Convolutional Neural Network
cuda-convnet
GPU Hardware Configurations in Deep Learning
High-Bandwidth GPU Memory Technologies
Hardware Accelerators for Inference
Hardware Accelerators for Training
NVIDIA Collective Communications Library (NCCL)
Parallelization on Multiple GPUs
Related
CPU vs. GPU Architecture in Deep Learning
AlexNet Convolutional Neural Network
cuda-convnet
GPU Hardware Configurations in Deep Learning
High-Bandwidth GPU Memory Technologies
Hardware Accelerators for Inference
Hardware Accelerators for Training
NVIDIA Collective Communications Library (NCCL)
Parallelization on Multiple GPUs