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System, Method, and Accelerator to Process Convolutional Neural Network Layers

A CNN hardware accelerator that improves energy efficiency ideal for architectures that focus on the dataflow across convolutional layers Background: Deep convolutional neural networks (CNNs) are rapidly becoming the dominant approach to computer vision and a major component of many other pervasive machine learning tasks. Technology Overview:...
Published: 8/27/2024   |   Inventor(s): Michael Ferdman, Peter Milder, Monaj Alwani
Keywords(s): CNN, Convolutional, Deep Learning, FPGA, GPU Accelerator, Neural Networks, Technologies
Category(s): Campus > Stony Brook University, Technology Classifications > Computer, Technology Classifications > Computer Software, Technology Classifications > Electronics and Electronic Materials

Maximizing Convolutional Neural Network (CNN) Accelerator Efficiency Through Resource Partitioning

A new CNN accelerator that achieves a 3.8x higher throughput than the state-of-the-art accelerators by using multiple processors Background: Convolutional Neural Networks (CNNs) are revolutionizing the field of machine learning, being used in areas such as recommendation systems, natural language processing, and computer vision. However, they have...
Published: 8/21/2023   |   Inventor(s): Yongming Shen, Michael Ferdman, Peter Milder, Tianchu Ji
Keywords(s):  
Category(s): Campus > Stony Brook University, Technology Classifications > Computer, Technology Classifications > Computer Software, Technology Classifications > Information Technology

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