article · 2015
Parallel I/O in Bulk-Synchronous Parallel ML
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Abstract
Abstract. Bulk Synchronous Parallel ML or BSML is a functional data-parallel language for programming bulk synchronous parallel (BSP) al-gorithms. The execution time can be estimated and dead-locks and in-determinism are avoided. For large scale applications where parallel pro-cessing 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. 1
Cite this paper
(2015). Parallel I/O in Bulk-Synchronous Parallel ML.
“Parallel I/O in Bulk-Synchronous Parallel ML.” 2015.
2015. “Parallel I/O in Bulk-Synchronous Parallel ML.”
(2015) ‘Parallel I/O in Bulk-Synchronous Parallel ML’.
@article{anon2015parallel,
title = {{Parallel I/O in Bulk-Synchronous Parallel ML}},
year = {2015}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.