Findings of the Third Workshop on Neural Generation and Translation
Table 12: Peak memory consumption (GPU systems).
['Dataset', 'Team', 'System', 'Memory [MiB] Host', 'Memory [MiB] GPU', 'Memory [MiB] Both']
For the GPU systems, all systems from the Marian team also outperformed other systems in terms of the speed-accuracy trade-off. However, the Marian systems had larger memory consumption than both Notre Dame systems, which specifically optimized for memory efficiency, and all previous systems. This may indicate that the internal framework of the Marian system tries to reserve enough amount of the GPU memory first, then use the acquired memory as needed by the translation processes. For completeness, in this section we add tables of the full shared task results.