activity
20192025
most citedVirtual Memory Partitioning for Enhancing Application Performance in Mobile Platforms

18 citations · 67 across the 16 of their papers we have counts for

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6 papers · 1 filter

cs.DC20212 cited

BB: Booting Booster for Consumer Electronics with Modern OS

Geunsik Lim, MyungJoo Ham

Unconventional computing platforms have spread widely and rapidly following smart phones and tablets: consumer electronics such as smart TVs and digital cameras. For such devices,…

cs.DC20213 cited

User-Level Memory Scheduler for Optimizing Application Performance in NUMA-Based Multicore Systems

Geunsik Lim, Sang-Bum Suh

Multicore CPU architectures have been established as a structure for general-purpose systems for high-performance processing of applications. Recent multicore CPU has evolved as a…

cs.DC20213 cited

Cloud-Based Content Cooperation System to Assist Collaborative Learning Environment

Geunsik Lim, Donghwa Lee, Sang-Bum Suh

Online educational systems running on smart devices have the advantage of allowing users to learn online regardless of the location of the users. In particular, data synchronizatio…

cs.DC20211 cited

Distributed Compilation System for High-Speed Software Build Processes

Geunsik Lim, Minho Lee, R. J. W. E. Lahaye +1

The idle time of personal computers has increased steadily due to the generalization of computer usage and cloud computing. Clustering research aims at utilizing idle computer reso…

cs.DC20219 cited

Load-Balancing for Improving User Responsiveness on Multicore Embedded Systems

Geunsik Lim, Changwoo Min, YoungIk Eom

Most commercial embedded devices have been deployed with a single processor architecture. The code size and complexity of applications running on embedded devices are rapidly incre…

cs.DC20194 cited

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

MyungJoo Ham, Ji Joong Moon, Geunsik Lim +8

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