Vector models for data-parallel computing
Vector models for data-parallel computing
Algorithms in C++
HPC++: experiments with the parallel standard template library
ICS '97 Proceedings of the 11th international conference on Supercomputing
STL tutorial and reference guide, second edition: C++ programming with the standard template library
STL tutorial and reference guide, second edition: C++ programming with the standard template library
NESL: A Nested Data-Parallel Language
NESL: A Nested Data-Parallel Language
A Cost Model for Communication on a Symmetric MultiProcessor
A Cost Model for Communication on a Symmetric MultiProcessor
STAPL: standard template adaptive parallel library
Proceedings of the 3rd Annual Haifa Experimental Systems Conference
Proceedings of the 19th international conference on Parallel architectures and compilation techniques
The Paralax infrastructure: automatic parallelization with a helping hand
Proceedings of the 19th international conference on Parallel architectures and compilation techniques
Mechanisms that separate algorithms from implementations for parallel patterns
Proceedings of the 2010 Workshop on Parallel Programming Patterns
LCPC'10 Proceedings of the 23rd international conference on Languages and compilers for parallel computing
Parallel programming of general-purpose programs using task-based programming models
HotPar'11 Proceedings of the 3rd USENIX conference on Hot topic in parallelism
A formal framework for orthogonal data and control parallelism handling
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Integrating profile-driven parallelism detection and machine-learning-based mapping
ACM Transactions on Architecture and Code Optimization (TACO)
| Hi-index | 0.00 |
STAPL (Standard Adaptive Parallel Library) is a parallel C++ library designed as a superset of the STL, sequentially consistent for functions with the same name, and executes on uni- or multiprocessors. STAPL is implemented using simple parallel extensions of C++ which provide a SPMD model of parallelism supporting recursive parallelism. The library is intended to be of generic use but emphasizes irregular, non-numeric programs to allow the exploitation of parallelism in areas such as geometric modeling or graph algorithms which use dynamic linked data structures. Each library routine has several different algorithmic options, and the choice among them will be made adaptively based on a performance model, statistical feedback, and current run-time conditions. Built{in performance monitors can measure actual performance and, using an extension of the BSP model predict the relative performance of the algorithmic choices for each library routine. STAPL is intended to possibly replace STL in a user transparent manner and run on small to medium scale shared memory multiprocessors which support OpenMP.