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Embedded Deep Learning

Explore design space from algorithm to hardware accelerator to achieve the goal.

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Memory and storage system for deep-learning and big-data

Analyze the system performance and cost bottleneck and provide solutions using system software and architecture solutions.

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Self-Adaptive Network Stack

A framework that includes a network stack monitor, a network bandwidth limiter, and static and dynamic power management schemes.

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Sogang Embedded Computing Lab (ECL)

 We conduct research in the various areas of embedded systems including high-performance mobile devices, hybrid-memory systems, deep learning applications and network systems. We use optimization theory, stochastic modeling, parallel processing to develop cost-effective/high-performance system under stringent constraints. Recently we are expanding the research topic to Deep Learning for Embedded System.

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