Research output per year
Research output per year
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Dive into the research topics where Taeweon Suh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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SkipNZ: Non-zero Value Skipping for Efficient CNN Acceleration
Kwon, J., Choi, J., Pham, N. S., Shin, S. & Suh, T., 2026, Euro-Par 2025: Parallel Processing - 31st European Conference on Parallel and Distributed Processing, Proceedings. Nagel, W. E., Goehringer, D. & Diniz, P. C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 48-59 12 p. (Lecture Notes in Computer Science; vol. 15901 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Cross-Filter Structured Pruning for Efficient Sparse CNN Acceleration
Pham, N. S., Shin, S., Xu, L., Shi, W. & Suh, T., 2025, In: IEEE Access. 13, p. 129461-129475 15 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
HBM-Aware Number Theoretic Transform Accelerator for Zero-Knowledge Proof
Shin, S., Pham, N. S., Xu, L., Shi, W. & Suh, T., 2025, Proceedings - 2025 IEEE 43rd International Conference on Computer Design, ICCD 2025. Institute of Electrical and Electronics Engineers Inc., p. 127-130 4 p. (Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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RISC-V SoC의 커스텀 IP용 인터페이스를이용한 캐시 부채널 공격
Suh, T., 2025, In: 정보과학회논문지.Research output: Contribution to journal › Article
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SparsePIM: An Efficient HBM-Based PIM Architecture for Sparse Matrix-Vector Multiplications
Kang, T., Choi, G., Suh, T. & Koo, G., 2025 Aug 22, ACM ICS 2025 - Proceedings of the 39th ACM International Conference on Supercomputing. Association for Computing Machinery, p. 495-512 18 p. (Proceedings of the International Conference on Supercomputing; vol. Part of 213821).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Link opens in a new tab Citation (Scopus)
Press/Media
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Study Findings on Engineering Discussed by Researchers at Korea University (Cross-Filter Structured Pruning for Efficient Sparse CNN Acceleration)
25/8/7
1 item of Media coverage
Press/Media: Press / Media
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Study Findings on Engineering Detailed by Researchers at Korea University (StarSPA: Stride-Aware Sparsity Compression for Efficient CNN Acceleration)
24/2/6
1 item of Media coverage
Press/Media: Press / Media
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Korea University Researchers Add New Findings in the Area of Engineering (Optimization of Microarchitecture and Dataflow for Sparse Tensor CNN Acceleration)
23/10/20
1 item of Media coverage
Press/Media: Press / Media
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New Engineering Study Findings Have Been Reported by Researchers at Korea University (Vizard: Passing Over Profiling-Based Detection by Manipulating Performance Counters)
23/6/5
1 item of Media coverage
Press/Media: Press / Media