Jeongwook Kim

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As systems get complex, requirements elicitation and analysis are becoming increasingly difficult and important in software development. Even though various analysis methods have been proposed, including scenario-based analysis, goal-based analysis, combining goal with scenario and use case-driven analysis – each method has its own strengths and weaknesses(More)
The latest biomedical applications require low energy consumption, high performance, and wide energy-performance scalability to adapt to various working environments. In this study, we present ULP-SRP, an energy-efficient reconfigurable processor for biomedical applications. ULP-SRP uses a Coarse-Grained Reconfigurable Array (CGRA) for high-performance data(More)
We present an energy-efficient multithreading architecture for mobile ray tracing, which constitutes a dynamic reordering of the rays in input buffer according to the results of cache accesses. Unlike to the previous works, our architecture is cost-effective, because it does not need dedicated memory for storing threads, and is also energy-efficient,(More)
Ray tracing is a 3D rendering method which simulates the path of light. This technique can represent high quality visual realism, but it requires great computing power. Because of the insufficient computing power in mobile device, some hardware accelerator is required for mobile real-time ray tracing. In this work, we propose a novel hardware unit which has(More)
In this paper, we focus the impact of a memory bandwidth limitation by analyzing the bandwidth consumption for ray tracing system and present an energy efficient data transmission method between processor and ray tracing hardware engine. For evaluation of our approach, we have implemented a prototype of ray tracing architecture using our approach on FPGA(More)
In this paper, we present a novel path rendering scheme that provides a fast rendering on high resolution mobile device. Because legacy path renderings are memory intensive work, they do not provide enough performance (<i>fps</i>) on high resolution display. To get an acceptable performance, we propose a novel approach for path rendering. Our design(More)
In this work, we present a novel mobile computing platfom for mobile ray tracing in which a fast compact hardware accelerator and a flexible programmable shader are combined. Our platform has two key features: 1) an area-efficient parallel pipelined traversal unit; and 2) flexible and high-performance kernels for shading and ray generation. Simulation(More)