云环境中的异构计算: 处理大数据,促进高性能计算 (HPC) 在生命科学领域中的大众化

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The combination of heterogeneous computing and cloud computing is emerging as a powerful new paradigm to meet the requirements for high-performance computing (HPC) and data throughput throughout the life sciences (LS) and healthcare value chains. Of course, neither cloud computing nor the use of innovative computing architectures is new, but the rise of big data as a defining feature of modern life sciences and the proliferation of vastly differing applications to mine the data have dramatically changed the landscape of LS computing requirements. Heterogeneous cloud computing offers the potential to shift flexibly from one HPC architecture to another in a secure public or private cloud environment.