Disk-directed I/O for an Out-of-core Computation
Dartmouth Computer Science Technical Report PCS-TR95-251
New file systems are critical to obtain good I/O performance on large multiprocessors. Several researchers have suggested the use of \em collective\/ file-system operations, in which all processes in an application cooperate in each I/O request. Others have suggested that the traditional low-level interface (\tt read, write, seek) be augmented with various higher-level requests (e.g., \em read matrix), allowing the programmer to express a complex transfer in a single (perhaps collective) request. Collective, high-level requests permit techniques like \em two-phase I/O\/ and \em disk-directed I/O\/ to significantly improve performance over traditional file systems and interfaces. Neither of these techniques have been tested on anything other than simple benchmarks that read or write matrices. Many applications, however, intersperse computation and I/O to work with data sets that cannot fit in main memory. In this paper, we present the results of experiments with an “out-of-core” LU-decomposition program, comparing a traditional interface and file system with a system that has a high-level, collective interface and disk-directed I/O. We found that a collective interface was awkward in some places, and forced additional synchronization. Nonetheless, disk-directed I/O was able to obtain much better performance than the traditional system.