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Search : [ author: Soomin Ki ] (2)

Integration of Task Offloading, CPU Voltage Scaling, and Memory Placement for Power-Saving in Mobile Real-Time Systems

Soomin Ki, Gyuri Byun, Kyungwoon Cho, Hyokyung Bahn

http://doi.org/10.5626/JOK.2022.49.11.919

In this paper, we study real-time task scheduling that aims to minimize power consumption of CPU, memory, and network devices in mobile systems. By defining extended task model and adopting three low-power techniques (i.e., task offloading, CPU voltage scaling, and low-power memory placement), we co-optimize these three techniques, thereby saving power consumption of real-time systems by 76.8% on average. Our scheduling has the ability of rescheduling real-time task set by reconfiguring offloading, DVFS, and memory placement considering variations of network conditions, thereby minimizing power consumption without missing deadlines of given real-time tasks.

SURE-based À-Trous Wavelet Filter for Interactive Monte Carlo Rendering

Soomin Kim, Bochang Moon, Sung-Eui Yoon

http://doi.org/

Monte Carlo ray tracing has been widely used for simulating a diverse set of photorealistic effects. However, this technique typically produces noise when insufficient numbers of samples are used. As the number of samples allocated per pixel is increased, the rendered images converge. However, this approach of generating sufficient numbers of samples, requires prohibitive rendering time. To solve this problem, image filtering can be applied to rendered images, by filtering the noisy image rendered using low sample counts and acquiring smoothed images, instead of naively generating additional rays. In this paper, we proposed a Stein"s Unbiased Risk Estimator (SURE) based À-Trous wavelet to filter the noise in rendered images in a near-interactive rate. Based on SURE, we can estimate filtering errors associated with À-Trous wavelet, and identify wavelet coefficients reducing filtering errors. Our approach showed improvement, up to 6:1, over the original À-Trous filter on various regions in the image, while maintaining a minor computational overhead. We have integrated our propsed filtering method with the recent interactive ray tracing system, Embree, and demonstrated its benefits.


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