Bibliographic Details
| Title: |
DASH: A C++ PGAS Library for Distributed Data Structures and Parallel Algorithms |
| Authors: |
Fürlinger, Karl, Fuchs, Tobias, Kowalewski, Roger |
| Publication Year: |
2016 |
| Collection: |
Computer Science |
| Subject Terms: |
Computer Science - Distributed, Parallel, and Cluster Computing |
| More Details: |
We present DASH, a C++ template library that offers distributed data structures and parallel algorithms and implements a compiler-free PGAS (partitioned global address space) approach. DASH offers many productivity and performance features such as global-view data structures, efficient support for the owner-computes model, flexible multidimensional data distribution schemes and inter-operability with STL (standard template library) algorithms. DASH also features a flexible representation of the parallel target machine and allows the exploitation of several hierarchically organized levels of locality through a concept of Teams. We evaluate DASH on a number of benchmark applications and we port a scientific proxy application using the MPI two-sided model to DASH. We find that DASH offers excellent productivity and performance and demonstrate scalability up to 9800 cores.
Comment: Accepted for publication at HPCC 2016, 12-14 December 2016, Syndey Australia |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/1610.01482 |
| Accession Number: |
edsarx.1610.01482 |
| Database: |
arXiv |
