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Sang-Il Han

Researcher at Seoul National University

Publications -  11
Citations -  206

Sang-Il Han is an academic researcher from Seoul National University. The author has contributed to research in topics: MPSoC & Code generation. The author has an hindex of 7, co-authored 11 publications receiving 206 citations.

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Proceedings ArticleDOI

Simulink-based MPSoC design flow: case study of Motion-JPEG and H.264

TL;DR: Experimental results show that the design flow can generate various MPSoC architectures from Simulink CAAM correctly and efficiently, allowing processor and task design space exploration at different abstraction levels.
Proceedings ArticleDOI

An efficient scalable and flexible data transfer architecture for multiprocessor SoC with massive distributed memory

TL;DR: The proposed Distributed Memory Server is composed of high-performance and flexible memory service access points (MSAPs), which execute data transfers without intervention of the processing elements, and data network, and control network that can handle direct massive data transfer between the distributed memories of an MPSoC.
Proceedings ArticleDOI

Buffer memory optimization for video codec application modeled in Simulink

TL;DR: This work generates a memory-efficient C code from a restricted Simulink model, which can represent both data and control dependency explicitly, by applying two buffer memory optimization techniques: copy removal and buffer sharing.
Journal ArticleDOI

Simulink ® -based heterogeneous multiprocessor SoC design flow for mixed hardware/software refinement and simulation

TL;DR: A joint Simulink-SystemC design flow that enables mixed hardware/software refinement and simulation in the early design process and demonstrates the applicability of the proposed design flow on two real video applications is presented.
Proceedings ArticleDOI

Reducing fine-grain communication overhead in multithread code generation for heterogeneous MPSoC

TL;DR: A Simulink-based multithread code generation method is presented, which applies Message Aggregation optimization technique to reduce the number of inter-processor communications and reduces the communication overheads.