Search Results for author: Geunsik Lim

Found 4 papers, 1 papers with code

Enhancing Application Performance by Memory Partitioning in Android Platforms

no code implementations26 Jan 2021 Geunsik Lim, Changwoo Min, Young Ik Eom

This paper suggests a new memory partitioning scheme that can enhance process lifecycle, while avoiding Low Memory Killer and Out-of-Memory Killer operations on mobile devices.

Operating Systems Performance

Thread Evolution Kit for Optimizing Thread Operations on CE/IoT Devices

no code implementations20 Jan 2021 Geunsik Lim, Donghyun Kang, Young Ik Eom

Most modern operating systems have adopted the one-to-one thread model to support fast execution of threads in both multi-core and single-core systems.

Operating Systems Distributed, Parallel, and Cluster Computing Performance

NNStreamer: Efficient and Agile Development of On-Device AI Systems

no code implementations16 Jan 2021 MyungJoo Ham, Jijoong Moon, Geunsik Lim, Jaeyun Jung, Hyoungjoo Ahn, Wook Song, Sangjung Woo, Parichay Kapoor, Dongju Chae, Gichan Jang, Yongjoo Ahn, Jihoon Lee

NNStreamer efficiently handles neural networks with complex data stream pipelines on devices, significantly improving the overall performance with minimal efforts.

NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications

1 code implementation12 Jan 2019 MyungJoo Ham, Ji Joong Moon, Geunsik Lim, Wook Song, Jaeyun Jung, Hyoungjoo Ahn, Sangjung Woo, Youngchul Cho, Jinhyuck Park, Sewon Oh, Hong-Seok Kim

We propose nnstreamer, a software system that handles neural networks as filters of stream pipelines, applying the stream processing paradigm to neural network applications.

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