Authors: Ping An, Alin Jula, Silvius Rus, Steven Saunders, Tim Smith, Gabriel Tanase, Nathan Thomas, Nancy Amato, Lawrence Rauchwerger

Venue: Languages and Compilers for Parallel Computing (LCPC.) Lecture Notes in Computer Science
DOI: 10.1007/3-540-35767-X_13
Link to Publication

Abstract:
The Standard Template Adaptive Parallel Library (STAPL) is a parallel library designed as a superset of the ANSI C++ Standard Template Library (STL). It is sequentially consistent for functions with the same name, and executes on uni- or multi-processor systems that utilize shared or distributed memory. STAPL is implemented using simple parallel extensions of C++ that currently provide a SPMD model of parallelism, and supports nested parallelism. The library is intended to be general purpose, but emphasizes irregular programs to allow the exploitation of parallelism for applications which use dynamically linked data structures such as particle transport calculations, molecular dynamics, geometric modeling, and graph algorithms. STAPL provides several different algorithms for some library routines, and selects among them adaptively at runtime. STAPL can replace STL automatically by invoking a preprocessing translation phase. In the applications studied, the performance of translated code was within 5% of the results obtained using STAPL directly. STAPL also provides functionality to allow the user to further optimize the code and achieve additional performance gains. We present results obtained using STAPL for a molecular dynamics code and a particle transport code. 

@inproceedings{An-saagpc-2001, 
 address = {Berlin, Heidelberg}, 
 author = {An, Ping 
and Jula, Alin 
and Rus, Silvius 
and Saunders, Steven 
and Smith, Tim 
and Tanase, Gabriel 
and Thomas, Nathan 
and Amato, Nancy 
and Rauchwerger, Lawrence}, 
 booktitle = {Languages and Compilers for Parallel Computing}, 
 editor = {Dietz, Henry G.}, 
 isbn = {978-3-540-35767-4}, 
 pages = {193--208}, 
 publisher = {Springer Berlin Heidelberg}, 
 title = {STAPL: An Adaptive, Generic Parallel C++ Library}, 
 year = {2003} 
}