Bulk Synchronous Parallel ML or BSML is a functional dataparallel language for programming bulk synchronous parallel (BSP) algorithms. The execution time can be estimated and dead-locks and indeterminism are avoided. For large scale applications where parallel processing is helpful and where the total amount of data often exceeds the total main memory available, parallel disk I/O becomes a necessity. We present here a library of I/O features for BSML and its cost model. © Springer-Verlag 2004.
CITATION STYLE
Gava, F. (2004). Parallel I/O in bulk-synchronous parallel ML. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3038, 331–338. https://doi.org/10.1007/978-3-540-24688-6_45
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