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A compiler-based approach for GPGPU performance calibration using TLP modulation (WIP Paper)Go to Link

Yu, Yongseung; Kang, Seokwon; Park, Yongjun

ArticleIssue Date2019CitationProceedings of the ACM SIGPLAN Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), pp 193 - 197PublisherAssociation for Computing Machinery
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Convergence-aware neural network trainingGo to Link

Oh, Hyungjun; Yu, Yongseung; Ryu, Giha; Ahn, Gunjoo; Jeong, Yuri; Park, Yongjun; Seo, Jiwon

ArticleIssue Date2020CitationProceedings - Design Automation Conference, v.2020-July, pp 1 - 6
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Discovering Efficient Fused Layer Configurations for Executing Multi-Workloads on Multi-Core NPUs

Lee, Younghyun; Kim, Hyejun; Yu, Yongseung; Cho, Myeongjin; Seo, Jiwon; Park, Yongjun

ArticleIssue Date2024CitationProceedings -Design, Automation and Test in Europe, DATE, pp 1 - 6
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GATE: A generalized dataflow-level approximation tuning engine for data parallel architecturesGo to Link

Kang, Seokwon .; Yu, Yongseung; Kim, Jiho; Park, Yongjun

ArticleIssue Date2019CitationProceedings - Design Automation Conference, pp 1 - 6
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Optimization of GPU-based sparse matrix multiplication for large sparse networksGo to Link

Lee, Jeongmyung; Kang, Seokwon; Yu, Yongseung; Jo, Yong-Yeon; Kim, Sang-Wook; Park, Yongjun

ArticleIssue Date2020CitationProceedings - International Conference on Data Engineering, v.2020-April, pp 925 - 936
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Tailoring CUTLASS GEMM using Supervised LearningGo to Link

Yu, Yongseung; Son, Donghyun; Lee, Younghyun; Park, Sunghyun; Ryu, Giha; Cho, Myeongjin; Seo, Jiwon; Park, Yongjun

ArticleIssue Date2023CitationIEEE International Conference on Computer Design - VLSI in Computers and Processors, pp 465 - 474
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