A. Buss, A. Fidel, Harshvardhan, T.G. Smith, G. Tanase, N.L. Thomas, X. Xu, M. Bianco, N. M. Amato and L. Rauchwerger,
"The STAPL pView,"
Proc. 22nd International Workshop on Languages and Compilers for Parallel Computing (LCPC)
, Houston, TX, October 2010.
The Standard Template Adaptive Parallel Library (STAPL) is a C++
parallel programming library that provides a collection of dis-
tributed data structures (pContainers) and parallel algorithms
(pAlgo- rithms) and a generic methodology for extending them to
provide cus- tomized functionality. STAPL algorithms are written in
terms of pViews, which provide a generic access interface to
pContainer data by abstract- ing common data structure concepts.
Briefly, pViews allow the same pContainer to present multiple
interfaces, e.g., enabling the same pMa- trix to be 'viewed' (or
used) as a row-major or column-major matrix, or even as a vector.
In this paper, we describe the stapl pView concept and its
properties. pViews generalize the iterator concept and enable
paral- lelism by providing random access to, and an ADT for,
collections of elements. We illustrate how pViews provide support
for managing the tradeoff between expressivity and performance and
examine the perfor- mance overhead incurred when using pViews.
Associated Project(s):SHIELD (Smuggled HEU Interdiction through Enhanced anaLysis and Detection): A Framework for Developing Novel Detection Systems Focused on Interdicting Shielded HEU