No description, website, or topics provided.
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
README.md
analmap-1.0.tar.gz
hiertopomap-1.0.tar.gz

README.md

topomap contains two user-level libraries for topology aware task mapping.

HierTopoMap - Hierarchical Task Mapping Library HierTopoMap is a library for static mapping, which implements a set of network and multicore aware topology mapping strategies that are developed in our lab. It accepts an MPI distributed graph communicator as input, and computes an optimized mapping in order to improve the communication performance. It can be used to support rank reordering in MPI topology functions. Currently, HierTopoMap supports InfiniBand-connected supercomputers (i.e., fat-tree topology), Cray XT5 machines (i.e., torus topology with non-contiguous node allocation), and Blue Gene/P systems (i.e., mesh/torus topology with contiguous node allocation).

AnalMap - Analytical Topology Mapping Tool for 3D Mesh/Torus AnalMap is a topology mapping tool for 3D torus-connected supercomputers. It uses the analytical mapping algorithm, which is inspired by the analytical placement technique for VLSI physical design. It is designed for mapping irregular communication graph onto 3D mesh/torus, and can also handle regular communication graph fairly efficiently. AnalMap takes a topology specification and a communication graph as inputs, and then generates an optimized mapping file, which can be used for IBM Blue Gene/P supercomputers.

The tool was developed by Jingjin Wu and Xuanxing Xiong under the supervision of Zhiling Lan at the Illinois Instiute of Technology. Note: if you use TopoMap in your work, please cite the papers : (1) J. Wu, X. Xiong, E. Berrocal, J. Wang, and Z. Lan, "Topology Mapping of Irregular Parallel Applications on Torus-Connected Supercomputers", The Journal of Supercomputing, 2016. (2) J. Wu, X. Xiong, and Z. Lan, "Hierarchical Task Mapping for Parallel Applications on Supercomputers", The Journal of Supercomputing, 71(5):1776-1802, 2015.