Expósito, Roberto R.Taboada, Guillermo L.Ramos Garea, SabelaTouriño, JuanDoallo, Ramón2018-07-062018-07-062013-01Expósito, R. R., Taboada, G. L., Ramos, S., Touriño, J., & Doallo, R. (2013). Performance analysis of HPC applications in the cloud. Future Generation Computer Systems, 29(1), 218-229.0167-739X1872-7115http://hdl.handle.net/2183/20874[Abstract] The scalability of High Performance Computing (HPC) applications depends heavily on the efficient support of network communications in virtualized environments. However, Infrastructure as a Service (IaaS) providers are more focused on deploying systems with higher computational power interconnected via high-speed networks rather than improving the scalability of the communication middleware. This paper analyzes the main performance bottlenecks in HPC application scalability on the Amazon EC2 Cluster Compute platform: (1) evaluating the communication performance on shared memory and a virtualized 10 Gigabit Ethernet network; (2) assessing the scalability of representative HPC codes, the NAS Parallel Benchmarks, using an important number of cores, up to 512; (3) analyzing the new cluster instances (CC2), both in terms of single instance performance, scalability and cost-efficiency of its use; (4) suggesting techniques for reducing the impact of the virtualization overhead in the scalability of communication-intensive HPC codes, such as the direct access of the Virtual Machine to the network and reducing the number of processes per instance; and (5) proposing the combination of message-passing with multithreading as the most scalable and cost-effective option for running HPC applications on the Amazon EC2 Cluster Compute platform.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Cloud computingHigh performance computingAmazon EC2 cluster compute platformMPIOpenMPjournal articleopen access10.1016/j.future.2012.06.009