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SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting., , , , , , , , and . IEEE BigData, page 483-492. IEEE, (2019)Performance Characterization of Multi-threaded Graph Processing Applications on Many-Integrated-Core Architecture., , and . ISPASS, page 199-208. IEEE Computer Society, (2018)Performance Characterization of Multi-threaded Graph Processing Applications on Intel Many-Integrated-Core Architecture., , and . CoRR, (2017)A TSQR Based Krylov Basis Computation Method on Hybrid GPU Cluster., and . CLUSTER, page 106-109. IEEE Computer Society, (2015)Toward Auto-tuned Krylov Basis Computation for Different Sparse Matrix Formats and Interconnects on GPU Clusters., and . CLUSTER, page 537-538. IEEE Computer Society, (2015)Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters., , , , , , , , , and 3 other author(s). CLOUD, page 82-89. IEEE Computer Society, (2017)A GraphBLAS Approach for Subgraph Counting., , , , , , , , , and . CoRR, (2019)SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting., , , , , , , , , and . CoRR, (2020)GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning., , , , , , , , , and 2 other author(s). Proc. ACM Manag. Data, 1 (2): 193:1-193:25 (2023)Whale: Efficient Giant Model Training over Heterogeneous GPUs., , , , , , , , , and 2 other author(s). USENIX Annual Technical Conference, page 673-688. USENIX Association, (2022)