• Korean Association of Arts Management
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• no.53
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• pp.47-69
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• 2020

This paper aims to understand the agents which have an impact upon artists' career development. By critically exploring previous research, this article conceptualizes the roles of intermediaries such as art schools, galleries, critics, and collectors in influencing the careers for artists. The qualitative case study is conducted by selecting KAWS as an intrinsic case. This study collects secondary data about the career trajectory of KAWS by various sources, which are analyzed according to the conceptual framework. The outcome of this research clarifies previous research from a sociological point of view in which highlights the significant importance of the art world's gallery, critics, media and collectors in developing the artist's career. In this paper, more importantly, the public attention to artists is construed as one of the agents influencing the career development of artists.

• Journal of Korea Multimedia Society
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• v.23 no.8
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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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• v.17 no.6
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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.