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An efficient uncertain graph processing framework for heterogeneous architectures.

H. Zhang, L. Li, D. Zhuang, R. Liu, S. Song, D. Tao, Y. Wu, and S. Song. PPoPP, page 477-479. ACM, (2021)

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Song Song

Song-Hak Song-Schreff

Leon Karpa

Leon Sklarz

Other publications of authors with the same name

ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs.C. Rivera, J. Chen, N. Xiong, S. Song, and D. Tao. CoRR, (2020)Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving.Q. Wan, H. Xia, X. Zhang, L. Wang, S. Song, and X. Fu. MICRO, page 885-897. ACM, (2021)TEA: A General-Purpose Temporal Graph Random Walk Engine.C. Huan, S. Song, S. Pandey, H. Liu, Y. Liu, B. Lepers, C. He, K. Chen, J. Jiang, and Y. Wu. EuroSys, page 182-198. ACM, (2023)Q-VR: system-level design for future mobile collaborative virtual reality.C. Xie, X. Li, Y. Hu, H. Peng, M. Taylor, and S. Song. ASPLOS, page 587-599. ACM, (2021)AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures.Z. Zheng, X. Yang, P. Zhao, G. Long, K. Zhu, F. Zhu, W. Zhao, X. Liu, J. Yang, J. Zhai and 2 other author(s). ASPLOS, page 359-373. ACM, (2022)SMT-Aware Instantaneous Footprint Optimization.P. Roy, X. Liu, and S. Song. HPDC, page 267-279. ACM, (2016)Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System.S. Liu, J. Wang, Z. Wang, B. Yu, W. Hu, Y. Liu, J. Tang, S. Song, C. Liu, and Y. Hu. RTAS, page 293-296. IEEE, (2022)ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.C. Zhang, G. Yuan, W. Niu, J. Tian, S. Jin, D. Zhuang, Z. Jiang, Y. Wang, B. Ren, S. Song and 1 other author(s). ICS, page 266-278. ACM, (2021)Quant-LLM: Accelerating the Serving of Large Language Models via FP6-Centric Algorithm-System Co-Design on Modern GPUs.H. Xia, Z. Zheng, X. Wu, S. Chen, Z. Yao, S. Youn, A. Bakhtiari, M. Wyatt, D. Zhuang, Z. Zhou and 3 other author(s). USENIX ATC, page 699-713. USENIX Association, (2024)Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity.H. Xia, Z. Zheng, Y. Li, D. Zhuang, Z. Zhou, X. Qiu, Y. Li, W. Lin, and S. Song. CoRR, (2023)

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Disambiguation of "Song, Shuaiwen Leon"

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An efficient uncertain graph processing framework for heterogeneous architectures.

Please choose a person to relate this publication to

Song Song

Song Song

Song-Hak Song-Schreff

Leon Karpa

Leon Sklarz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Song, Shuaiwen Leon"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An efficient uncertain graph processing framework for heterogeneous architectures.

Please choose a person to relate this publication to

Song Song

Song Song

Song-Hak Song-Schreff

Leon Karpa

Leon Sklarz

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

An efficient uncertain graph processing framework for heterogeneous architectures.