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dc.contributor.author Kim, Seohyun -
dc.contributor.author Lee, Junyoung -
dc.contributor.author Park, Jongho -
dc.contributor.author Koo, Jinhyung -
dc.contributor.author Lee, Sungjin -
dc.contributor.author Kim, Yeseong -
dc.date.accessioned 2026-02-10T20:40:18Z -
dc.date.available 2026-02-10T20:40:18Z -
dc.date.created 2025-10-30 -
dc.date.issued 2025-05-20 -
dc.identifier.isbn 9798331503048 -
dc.identifier.issn 0738-100X -
dc.identifier.uri https://scholar.dgist.ac.kr/handle/20.500.11750/60049 -
dc.description.abstract We propose DiTTO, a novel diffusion-based framework for generating realistic, precisely configurable, and diverse multi-device storage traces. Leveraging advanced diffusion techniques, DiTTO enables the synthesis of high-fidelity continuous traces that capture temporal dynamics and inter-device dependencies with user-defined configurations. Our experimental results demonstrate that DiTTO can generate traces with high fidelity and diversity while aligning closely with guided configurations with only 8% errors. -
dc.language English -
dc.publisher ACM Special Interest Group on Design Automation (SIGDA), IEEE Council on Electronic Design Automation (CEDA) -
dc.relation.ispartof Proceedings - Design Automation Conference -
dc.title A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation -
dc.type Conference Paper -
dc.identifier.doi 10.1109/DAC63849.2025.11132678 -
dc.identifier.scopusid 2-s2.0-105017750343 -
dc.identifier.bibliographicCitation Design Automation Conference, pp.1 - 2 -
dc.identifier.url https://2025.ieee-icra.org/ -
dc.citation.conferenceDate 2025-05-19 -
dc.citation.conferencePlace US -
dc.citation.conferencePlace San Francisco -
dc.citation.endPage 2 -
dc.citation.startPage 1 -
dc.citation.title Design Automation Conference -
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김예성
Kim, Yeseong김예성

Department of Electrical Engineering and Computer Science

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