High-level data-parallel programming with distributed object sets eases many aspects of parallel programming. In this paper we describe the design and implementation of Taco, a template library that provides higher-order operations on polymorphic regular and irregular distributed object sets by means of reusable topology classes and C++ function templates. © Springer-Verlag Berlin Heidelberg 2000.
CITATION STYLE
Nolte, J., Sato, M., & Ishikawa, Y. (2000). TACO — Dynamic distributed collections with templates and topologies. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1900, 1071–1080. https://doi.org/10.1007/3-540-44520-x_151
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