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Project Summary

DASH, the C++ Template Library for Distributed Data Structures with Support for Hierarchical Locality for HPC and Data-Driven Science

Efficient and productive programming of these systems will be a challenge, especially in the context of data-intensive applications. Adopting the promising notion of Partitioned Global Address Space (PGAS) programming the DASH project develops a data-structure oriented C++ template library that provides hierarchical PGAS-like abstractions for important data containers (multidimensional arrays, lists, hash tables, etc.) and allows a developer to control (and explicitly take advantage of) the hierarchical data layout of global data structures.

Tags

c++ concurrency containers distributedcomputing heterogeneous heterogenousarchitecture highperformancecomputing high_performance_computing hpc library mpich multithreading openmp openmpi parallel parallelalgorithm paralleldistributedprocessing pgas portable stl

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In a Nutshell, DASH C++...

This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
C
54%
C++
33%
Perl
6%
11 Other
7%

30 Day Summary

Jan 11 2017 — Feb 10 2017

12 Month Summary

Feb 10 2016 — Feb 10 2017
  • 326 Commits
    Up + 252 (340%) from previous 12 months
  • 15 Contributors
    Up + 10 (200%) from previous 12 months