Special Sessions

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Machine learning implementations

Session Organizer: Wonyong Sung (Seoul National University, KR)

Abstract: Deep neural networks have shown great successes across a wide variety of tasks. However, the computational demand of deep learning is usually very high compared to conventional machine learning algorithms. GPGPUs (General Purpose Graphics Processing Units) have been most widely used, however more efficient solutions are also emerging in these days. This special session is intended to cover the emerging hardware and software solutions for high performance and efficient deep neural network training and also inference. Especially, the following topics are of great interests: high performance programmable deep neural network training and inference systems, custom hardware and FPGA based architecture, low-complexity neural network design such as quantization and pruning, and software solutions.

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European Projects

Session Organizer: Dimitrios Soudris (NTUA, GR)

Abstract: TBA

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