1 HERCULES : High Performance Computing Primitives for Visual Explorations of Large - Scale Biodiversity Data
نویسنده
چکیده
Identifying solutions and responses to global environmental change is one of the key challenges of the 21 st century. Research on ecosystem and species responses to climate changes and human impacts is vital to identify science-based solutions to ecological problems. Large-scale biodiversity data plays a key role in understanding the relationships among species distributions and the environment. The last decade has seen massive developments of biodiversity related information systems on the Internet and the available species distribution data has been increased dramatically with respect to spatial resolutions and taxonomic groups. The computing power offered by modern multi-core processors, accelerators and grid/cloud computing facilities also increases dramatically. While their combinations can potentially leverage our understanding of global and regional biodiversity patterns to a new level, existing software tools are mostly based on serial computing and suffer from scalability problems. Lacking support for visual explorations seriously affect their effectiveness in understanding and analyzing complex biodiversity patterns. The proposed HERCULES project (High Performance Computing Primitives for Visual Explorations of Large-Scale Biodiversity Data) aims at developing high-performance computing primitives for large-scale biodiversity data that scale up along geographical dimension (spatial resolutions), taxonomic dimension (species and species groups) and ecosystem dimension and support interactive visual explorations of global and regional biodiversity patterns.
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