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Current APIs for multiprocessor multi-disk file systems are not easy
to use in developing out-of-core algorithms that choreograph parallel
data accesses. Consequently, the efficiency of these algorithms is
hard to achieve in practice. We address this deficiency by specifying
an API that includes data-access primitives for data choreography.
With our API, the programmer can easily access specific blocks from
each disk in a single operation, thereby fully utilizing the
parallelism of the underlying storage system.
Our API supports the development of libraries of commonly-used higher-level routines such as matrix-matrix addition, matrix-matrix multiplication, and BMMC (bit-matrix-multiply/complement) permutations. We illustrate our API in implementations of these three high-level routines to demonstrate how easy it is to use.
Also published as Courant Institute Tech Report 708.
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
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Elizabeth A. M. Shriver and Leonard F. Wisniewski, "An API for Choreographing Data Accesses ." Dartmouth Computer Science Technical Report PCS-TR95-267, November 1995.
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