• 예술경영연구
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• 제53호
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• pp.47-69
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• 2020

본 연구는 미술가 경력형성에 영향을 주는 주체 및 기관을 이해하는 것에 그 목적이 있다. 이에, 본고는 선행 연구를 바탕으로 예술학교, 갤러리, 비평가 및 미디어, 컬렉터 등 작가의 경력에 영향을 미치는 매개자의 역할을 이론적으로 검토하였다. 본 연구는 현대 미술가 카우스(KAWS)를 본질적 사례로 선정하고, 질적 사례연구를 수행하였다. 본 논문은 카우스의 경력 궤적(trajectory)과 연관된 다양한 출처의 이차자료를 수집하고, 이를 이론적 배경 안에서 분석하였다. 분석 결과, 사회학적 시각을 내포한 선행연구의 연장선에서 예술계를 구성하는 갤러리, 비평가 및 미디어, 컬렉터가 카우스 경력발전에 중요한 영향을 끼침을 명료화하였다. 한편, 본 연구는 선행연구에서 경시된 작가에 대한 대중의 관심을 미술가 경력형성의 측면에서 이해하는 것에 의의가 있다.

• 한국멀티미디어학회논문지
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• 제23권8호
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• pp.1108-1117
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• 2020

Based on Maslow's hierarchy of needs theory, this research only employs whether to meet consumer needs as a measure, and focuses on the Collaboration Series between Uniqlo and KAWS to discuss the influence of the collaboration between fashion brands and artists on consumer needs. What's more, this paper also proposes whether the collaboration with artists as brands can meet the higher needs of consumers and influence new consumer groups. Finally, it is concluded that the collaboration between fashion brands and artists plays an active role in meeting the higher needs of consumers and can expand new consumer groups, which will provide reference and theoretical basis for enterprises to conduct collaboration with art, incorporate the needs of consumers into the scope of planning, and consider the collaboration with artists more comprehensively.

• Journal of Information Processing Systems
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• 제17권6호
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• pp.1157-1169
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• 2021

Modern graphics processor unit (GPU) architectures offer significant hardware resource enhancements for parallel computing. However, without software optimization, GPUs continuously exhibit hardware resource underutilization. In this paper, we indicate the need to alter different warp scheduler schemes during different kernel execution periods to improve resource utilization. Existing warp schedulers cannot be aware of the kernel progress to provide an effective scheduling policy. In addition, we identified the potential for improving resource utilization for multiple-warp-scheduler GPUs by sharing stalling warps with selected warp schedulers. To address the efficiency issue of the present GPU, we coordinated the kernel-aware warp scheduler and warp sharing mechanism (KAWS). The proposed warp scheduler acknowledges the execution progress of the running kernel to adapt to a more effective scheduling policy when the kernel progress attains a point of resource underutilization. Meanwhile, the warp-sharing mechanism distributes stalling warps to different warp schedulers wherein the execution pipeline unit is ready. Our design achieves performance that is on an average higher than that of the traditional warp scheduler by 7.97% and employs marginal additional hardware overhead.