alabnii/sciclaimeval-shared-task huggingface dataset:
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& \multicolumn{3}{c|}{\textbf{Forward}} & \multicolumn{3}{c}{\textbf{Backward}}\\ \midrule
\textbf{Resolution} & \textbf{PhiFlow (s)} & \textbf{Ours (s)} & \textbf{Speedup} & \textbf{PhiFlow (s)} & \textbf{Ours (s)} & \textbf{Speedup}\\ \midrule
32 $\times$ 32 $\times$ 32 & 1.282 & \textbf{0.024} & \textbf{53.4$\times$} & 1.546 & \textbf{0.095} & \textbf{16.3$\times$}\\ \midrule
40 $\times$ 40 $\times$ 40 & 1.741 & \textbf{0.039} & \textbf{44.6$\times$} & 1.983 & \textbf{0.121} & \textbf{16.4$\times$}\\ \midrule
48 $\times$ 48 $\times$ 48 & 2.227 & \textbf{0.068} & \textbf{32.8$\times$} & 2.412 & \textbf{0.158} & \textbf{15.3$\times$}\\ \midrule
64 $\times$ 64 $\times$ 64 & 3.145 & \textbf{0.105} & \textbf{30.0$\times$} & 4.094 & \textbf{0.301} & \textbf{13.6$\times$}\\ %\midrule
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\caption{Table 2 : \textbf{Time Performance.} Our method achieves one order of magnitude speedup across all resolutions compared to PhiFlow in both forward simulation and backward gradient propagation.}
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