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FastLoad: Speeding Up Data Loading of Both Sparse Matrix and Vector for SpMV on GPUs
In
IEEE Transactions on Parallel and Distributed Systems (Volume 35, Issue 12, December 2024)(IEEE TPDS 2024)
Jinyu Hu
,
Huizhang Luo
,
Hong Jiang
,
Guoqing Xiao
,
Kenli Li
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AMP: Total Variation Reduction for Lossless Compression via Approximate Median-based Preconditioning
In
ACM Transactions on Embedded Computing Systems, Volume 23, Issue 6, No. 86, Pages 1 - 22(ACM TECS 2024)
Fenfang Li
,
Huizhang Luo
,
Junqi Wang
,
Yida Li
,
Zhuo Tang
,
Kenli Li
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zeroTT: A Two-Step State Transition Avoidance Scheme for MLC STT-RAM
In
DAC ‘24 Proceedings of the 61st ACM/IEEE Design Automation Conference, Article No. 210, Pages 1 - 6(DAC 2024)
Dong Yin
,
Huizhang Luo
,
Jeff Zhang
,
Mingxing Duan
,
Wangdong Yang
,
Zhuo Tang
,
Kenli Li
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cuFastTuckerPlus: A Stochastic Parallel Sparse FastTucker Decomposition Using GPU Tensor Cores
In
arXiv preprint arXiv:2404.10087(arXiv 2404.10087)
Zixuan Li
,
Mingxing Duan
,
Huizhang Luo
,
Wangdong Yang
,
Kenli Li
,
Keqin Li
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MF-Net: A Multimodal Fusion Model for Fast Multi-object Tracking
In
IEEE Transactions on Vehicular Technology (Volume 73, Issue 8, August 2024)(IEEE TVT 2024)
Shirui Tian
,
Mingxing Duan
,
Jiayan Deng
,
Huizhang Luo
,
Yikun Hu
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LAMP: Improving compression ratio for AMR applications via level associated mapping-based preconditioning
In
IEEE Transactions on Computers (Volume 72, Issue 12, December 2023)(IEEE TC 2023)
Yida Li
,
Huizhang Luo
,
Fenfang Li
,
Junqi Wang
,
Kenli Li
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COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems
In
IEEE Transactions on Parallel and Distributed Systems (Volume 34, Issue 7, July 2023)(IEEE TPDS 2023)
Chengyu Sun
,
Huizhang Luo
,
Hong Jiang
,
Jeff Zhang
,
Kenli L
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ZFP-X: Efficient Embedded Coding for Accelerating Lossy Floating Point Compression
In
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)(IPDPS 2023)
Bing Lu
,
Yida Li
,
Junqi Wang
,
Huizhang Luo
,
Kenli Li
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A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data
In
IEEE Transactions on Big Data (Volume 9, Issue 3, 01 June 2023)(IEEE TBD 2023)
Huizhang Luo
,
Junqi Wang
,
Zhenlu Qin
,
Dan Huang
,
Qing Liu
,
Mengchu Zhou
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zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement
In
IEEE Transactions on Parallel and Distributed Systems (Volume 33, Issue 12, 01 December 2022)(IEEE TPDS 2022)
Huizhang Luo
,
Junqi Wang
,
Qing Liu
,
Jieyang Chen
,
Scott Klasky
,
Norbert Podhorszki
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