云中的科学计算
Scientific Computing in the Cloud
摘要：
我们研究了使用云计算机作为传统计算工具的替代品进行高性能科学计算的可行性。这些大型虚拟化计算资源池的可用性为科学研究提供了一种具有许多优势的新计算模式的可能性。对于研究小组来说，云计算提供了对可靠、高性能集群和存储的方便访问，而无需购买和维护复杂的硬件。对于开发人员来说，虚拟化允许在机器映像上优化和预安装科学代码，从而促进对计算环境的控制。在Amazon Elastic Compute Cloud上对广泛使用的X射线光谱和电子结构代码FEFF的串行和并行版本进行了初步测试，包括CPU和网络性能。
英文摘要：
We investigate the feasibility of high performance scientific computation using cloud computers as an alternative to traditional computational tools. The availability of these large, virtualized pools of compute resources raises the possibility of a new compute paradigm for scientific research with many advantages. For research groups, cloud computing provides convenient access to reliable, high performance clusters and storage, without the need to purchase and maintain sophisticated hardware. For developers, virtualization allows scientific codes to be optimized and pre-installed on machine images, facilitating control over the computational environment. Preliminary tests are presented for serial and parallelized versions of the widely used x-ray spectroscopy and electronic structure code FEFF on the Amazon Elastic Compute Cloud, including CPU and network performance.
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