Abstract: Parallel heuristic search algorithms are widely used in artificial intelligence. This paper describes novel parallel variants of two standard sequential search algorithms...
To fully exploit multicore processors, applications are expected to provide a large degree of thread-level parallelism. While adequate for low core counts and their typical worklo...
Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
Abstract. This paper presents DAOS, a model for exploitation of Andand Or-parallelism in logic programs. DAOS assumes a physically distributed memory environment and a logically sh...
The NPAC kernel runtime, developed in the PCRC Parallel Compiler Runtime Consortium project, is a runtime library with special support for the High Performance Fortran data model....
Bryan Carpenter, Geoffrey Fox, Donald Leskiw, Xiao...