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TriCache: A User-Transparent Block Cache Enabling High-Performance Out-of-Core Processing with In-Memory Programs., , , , , , , и . ACM Trans. Storage, 19 (2): 15:1-15:30 (мая 2023)BaGuaLu: targeting brain scale pretrained models with over 37 million cores., , , , , , , , , и 15 other автор(ы). PPoPP, стр. 192-204. ACM, (2022)Scaling Graph 500 SSSP to 140 Trillion Edges with over 40 Million Cores., , , , и . SC, стр. 19:1-19:15. IEEE, (2022)AdaPipe: Optimizing Pipeline Parallelism with Adaptive Recomputation and Partitioning., , , , , , и . ASPLOS (3), стр. 86-100. ACM, (2024)Precipitation Dominates Long-Term Water Storage Changes in Nam Co Lake (Tibetan Plateau) Accompanied by Intensified Cryosphere Melts Revealed by a Basin-Wide Hydrological Modelling., , , , , , и . Remote. Sens., 12 (12): 1926 (2020)Nonlinear 2D shape registration via thin-plate spline and Lie group representation., , , и . Neurocomputing, (2016)TriCache: A User-Transparent Block Cache Enabling High-Performance Out-of-Core Processing with In-Memory Programs., , , , , , , и . OSDI, стр. 395-411. USENIX Association, (2022)Scaling graph traversal to 281 trillion edges with 40 million cores., , , , , , и . PPoPP, стр. 234-245. ACM, (2022)Encouraging Compiler Optimization Practice for Undergraduate Students through Competition., , , , , и . ITiCSE (1), стр. 4-10. ACM, (2021)