LEDA: a platform for combinatorial and geometric computing
LEDA: a platform for combinatorial and geometric computing
C++ Standard Template Library
STXXL: standard template library for XXL data sets
Software—Practice & Experience
CISIS '08 Proceedings of the 2008 International Conference on Complex, Intelligent and Software Intensive Systems
Managing C++ OpenMP code and its exception handling
WOMPAT'03 Proceedings of the OpenMP applications and tools 2003 international conference on OpenMP shared memory parallel programming
IWOMP'05/IWOMP'06 Proceedings of the 2005 and 2006 international conference on OpenMP shared memory parallel programming
A proposal for OpenMP for Java
IWOMP'05/IWOMP'06 Proceedings of the 2005 and 2006 international conference on OpenMP shared memory parallel programming
MCSTL: the multi-core standard template library
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
International workshop on multicore software engineering (IWMSE 2008)
Companion of the 30th international conference on Software engineering
Parallel geometric algorithms for multi-core computers
Proceedings of the twenty-fifth annual symposium on Computational geometry
Perflint: A Context Sensitive Performance Advisor for C++ Programs
Proceedings of the 7th annual IEEE/ACM International Symposium on Code Generation and Optimization
Extending Automatic Parallelization to Optimize High-Level Abstractions for Multicore
IWOMP '09 Proceedings of the 5th International Workshop on OpenMP: Evolving OpenMP in an Age of Extreme Parallelism
Parallel geometric algorithms for multi-core computers
Computational Geometry: Theory and Applications
Lessons from implementing the biCGStab method with SkeTo library
Proceedings of the fourth international workshop on High-level parallel programming and applications
Science of Computer Programming
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The C++ Standard Library implementation provided with the free GNU C++ compiler, libstdc++, provides a "parallel mode" as of version 4.3. Using this mode enables existing serial code to take advantage of many parallelized STL algorithms, an approach to making use of multi-core processors which are now or will soon will be ubiquitous. This paper describes the software engineering issues discovered during implementation, the results of user testing, and presents possible solutions to outstanding issues. Design issues with configuring the software environment to a wide variety of multi-core hardware options, influencing algorithm and parameter choices at compile and run time, standards compliance, and the interplay between execution speed, the executable size, the library code size, and the compilation time are addressed.