| Y. Chen, "Automatic Parallel I/O Performance Optimization in Panda," Techincal Report, UIUCDCS-R-98-2038, February 1998. |
.... per year, whereas disk performance only improved 4 to 6 per year, making an increasingly severe performance gap between CPU and disk I O [1] I O parallelism, a means of increasing the aggregate I O bandwidth and capacity, is an attractive approach to bridge the gap between CUP and disk I O [19][20][21] Several challenges lie in parallel I O system include communication strategies, the file system policies [6] and the data storage layouts [7] There are three kinds of data intensive applications that require high performance I O, namely scientific simulations, multimedia applications and ....
Y. Chen, "Automatic Parallel I/O Performance Optimization in Panda," Techincal Report, UIUCDCS-R-98-2038, February 1998.
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