Liu, BaoquanClapworthy, Gordon J.Dong, FengWu, EnhuaKwan-Liu Ma and Giuseppe Santucci and Jarke van Wijk2016-06-092016-06-0920161467-8659https://doi.org/10.1111/cgf.12897https://diglib.eg.org:443/handle/10Interactive isosurface visualisation has been made possible by mapping algorithms to GPU architectures. However, current state-of-the-art isosurfacing algorithms usually consume large amounts of GPU memory owing to the additional acceleration structures they require. As a result, the continued limitations on available GPU memory mean that they are unable to deal with the larger datasets that are now increasingly becoming prevalent. This paper proposes a new parallel isosurface-extraction algorithm that exploits the blocked organisation of the parallel threads found in modern many-core platforms to achieve fast isosurface extraction and reduce the associated memory requirements. This is achieved by optimising thread co-operation within thread-blocks and reducing redundant computation; ultimately, an indexed triangular mesh can be produced. Experiments have shown that the proposed algorithm is much faster (up to 10x ) than state-of-the-art GPU algorithms and has a much smaller memory footprint, enabling it to handle much larger datasets (up to 64x) on the same GPU.I.3.3 [Computer Graphics]Picture/Image GenerationViewing Algorithms10.1111/cgf.12897211-220