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Architectures
The dataset used in this paper is a set of 4 architectures: AMD Ryzen 7, Fujitsu ARM A64FX, NVIDIA A100, and NVIDIA RTX3080. -
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Ne...
Generative model based image lossless compression algorithms have seen a great success in improving compression ratio. However, the throughput for most of them is less than 1... -
Im2win: An Efficient Convolution Paradigm on GPU
Convolutional neural network (CNN) is an important network model widely used in computer vision, image processing, and scientific computing. CNN consists of an input layer, an... -
NVDLA Block
The dataset used in this paper is NVDLA block. -
FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters
The dataset used in this paper is a CNN training dataset, specifically VGG-16, VGG-19, and AlexNet.
