Hongbo Zou

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—Increasingly severe I/O bottlenecks on High-End Computing machines are prompting scientists to process simulation output data online while simulations are running and before storing data on disk. There are several options to place data analytics along the I/O path: on compute nodes, on separate nodes dedicated to analytics, or after data is stored on(More)
There are many challenges in analyzing and visualizing data from current cutting-edge general relativistic astrophysics simulations. Many of the associated tasks are time-consuming with large performance degradation due to the magnitude and complexity of the data. The Adaptable I/O System (ADIOS) is a componentization of the I/O layer that has demonstrated(More)
Resource discovery is a basic service in grid computing : gives a description of resources desired and finds the available one to match the description. In computational grid, how to discover resources efficiently has become a crucial factor to evaluate the performance in the whole system. In this paper, we present a bid-based resource discovery algorithm,(More)
a r t i c l e i n f o a b s t r a c t Increasingly larger scale applications are generating an unprecedented amount of data. However, the increasing gap between computation and I/O capacity on High End Computing machines makes a severe bottleneck for data analysis. Instead of moving data from its source to the output storage, in-situ analytics processes(More)
— Computing is now shifting towards multiprocessing. The fundamental goal of multiprocessing is improved performance through the introduction of additional hardware threads or cores (referred to as " cores " for simplicity). Modern network stacks can exploit parallel cores to allow either message-based parallelism or connection-based parallelism as a means(More)
—Recent technological advances are putting increased pressure on CPU scheduling. On one hand, processors have more cores. On the other hand, I/O systems have become more complex. Intensive research has been conducted on multi/many-core scheduling; however, most of the studies follow the conventional approach and focus on the utilization and load balance of(More)