A load-aware GPU-based dynamic graph pattern matching scheme is proposed to make full use of GPU computing resources and a task overhead prediction model is proposed to guide task allocation to alleviate the load imbalance between multiple GPU devices.
Yu Zhang, Yu-Luo Guo, Fubing Mao et al.· IEEE Transactions on Knowled...· 0 citations
BCE is presented, a GPU-co-designed, block-centric engine that makes range-top-k efficient by exposing a reusable intermediate representation of the data, and achieves sub-millisecond query latency and up to 308 × higher throughput than state-of-the-art GPU baselines, while performing billion-scale dynamic updates in milliseconds.
Chengying Huan, Ziheng Meng, Zhengyi Yang et al.· IEEE International Symposium...· 0 citations
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