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A Portable Implementation of the Integral Histogram in StarSs
SESSION: ACM Student Research Competition Poster Session
EVENT TYPE: ACM Student Research Competition Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Bernd Mohr
ROOM:WSCC North Galleria 2nd/3rd Floors
ABSTRACT: Parallel programming models converge on key concepts. Program syntax
avoids explicitly parallel constructs like threads and data dependence
guides the computation, as opposed to resource-centric models like MPI or OpenMP.
Aside from StarSs, StarPU and recently the MAGMA and PLASMA projects encapsulate computation on data blocks in tasks.
These are scheduled dynamically via a TDG.
We intent to demonstrate the use of StarSs in the development of the
Integral Histogram (IH) and analyze the application on SMP, Cell/B.E. and GPU. As
opposed to the applications for StarPU, MAGMA and PLASMA, which so far have
been limited to numerical linear algebra kernels. IH is a recently proposed preprocessing technique that constructs the histogram for rectangular
regions in constant time (for e.g. object recognition, content-based image
retrieval, segmentation, detection and tracking).
To the best of our knowledge, IH in StarSs is the first parallel implementation of this algorithm in the literature.
Bernd Mohr (Chair) - Juelich Supercomputing Centre