Computer clusters have become a main stream of high performance computing platforms. Multilevel computing engines are spanned across acceleration boards, multicore processors, multiprocessor boards, and computer clusters. Multicore technology have played major role in increasing density of parallel computing elements. To harvest these high performance systems, cluster operating environment has pressed on additional abstraction using virtualization technology. Specific problem solving environments are isolated at the operating system level where real executions are performed in virtualization domain. Virtualization technology helps not only increasing utilization of computing resources but also reducing configuration workload, administrative cost, application porting and energy saving. Multiple commodity operating systems are allowed to share conventional hardware in a safe environment. In this work, we investigate an implementation of virtualized computing cluster. Performance evaluation results of the virtualized cluster based on HPL is shown where the maximum of 20% performance degradation from virtualization overhead is observed. We describe straightforward approach to deploy virtualization onto the cluster. The management of virtualization images is discussed. The process of considering computational cluster resources in virtualization environment is described. The goal of this work is to show the virtualized resources running with production of virtual cluster environment.

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In the last decade, government organizations and private companies in Thailand have invested considerably in computing resources. Research collaborations typically band together based on shared interests and propose projects to compete for funding. Thus, many institutions frequently use similar computing resources. A bird's eye view of high-performance computer infrastructure in Thailand is important in many ways. To the best of our knowledge and ability, we gathered information on government procurements of HPC resources in the past five years, which cover several organizations and ministries. We list the system specifications and tabulate the target application areas for each system. The aggregated number of cores and storage space for HPC in Thailand, commissioned during the past five years, is 54,838 cores and 21 PB, respectively. We also describe the large data transfers using UniNet for HPC applications. The survey results can be used by academics and decision-makers to build research agendas and national development strategies.