Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of the parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. A profiling tool is used to collect, analyze, and visualize the performance data of an application in connection with its execution on a parallel-processing computer system through the runtime system. This profiling tool greatly enhances an application developer's ability to understand how an application is executed on the parallel-processing computer system and fine-tune the application to achieve high performance.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: Selective dynamic compilation of source code is performed using run-time information. A system is disclosed that implements a declarative, annotation based dynamic compilation of the source code, employing a partial evaluation, binding-time analysis (BTA), and including program-point-specific polyvariant division and specialization and dynamic versions of traditional global and peephole optimizations. The system allows programmers to declaratively specify policies that govern the aggressiveness of specialization and caching, providing fine control over the dynamic compilation process. The policies include directions for controlling specialization at promotion points and merge points, and further define caching policies, and speculative-specialization policies. The system also enables programmers to specialize programs across arbitrary edges, both at traditional locations, such as procedure boundaries, but also within procedures.