Abstract: A method for debugging an application includes obtaining first and second fusible operation requests; if there is a break point between the first and the second operation request, generating a first set of compute kernels including programs corresponding to the first operation request, but not to the second operation request; and generating a second set of compute kernels including programs corresponding the second operation request, but not to the first operation request; if there is no break point between the first and the second operation request, generating a third set of compute kernels which include programs corresponding to a merge of the first and second operation requests; and arranging for execution of either the first and second, or the third set of compute kernels, further including debugging the first or second set of compute kernels when there is a break point set between the first and second operation requests.

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: 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 method for optimizing the object code of a program is disclosed. A compiler generates, respectively, first and second object code segments for first and second source code segments of the program. If the two object code segments are determined to be identical, the compiler generates first and second debugging information entries in a compilation unit of the program and both entries include information for locating the first object code segment. The compiler inserts two entries into a call table in the compilation unit, each entry including information for locating a respective call site that invokes a respective source code segment within a call stack of the program and information for locating a respective debug information entry. The call table is used for associating an operation within the first object code segment with one of the first and second source code segments at runtime.

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: 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 method for debugging the object code of a program is disclosed. While executing an object code segment on an information processing device, a debugger receives a location identifier associated with the object code segment and identifies a call site within a call stack of the program using the location identifier. The call site is responsible for invoking the execution of the object code segment. Next, the debugger scans a call table for an entry of the call site that includes information for locating a debugging information entry within a compilation unit of the program. The debugger retrieves the debugging information entry from the compilation unit using the location information and identifies a unique one of multiple different source code segments as the one corresponding to the object code segment using a source code segment identifier in the debugging information entry.

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: A method for debugging an application includes obtaining first and second fusible operation requests; if there is a break point between the first and the second operation request, generating a first set of compute kernels including programs corresponding to the first operation request, but not to the second operation request; and generating a second set of compute kernels including programs corresponding the second operation request, but not to the first operation request; if there is no break point between the first and the second operation request, generating a third set of compute kernels which include programs corresponding to a merge of the first and second operation requests; and arranging for execution of either the first and second, or the third set of compute kernels, further including debugging the first or second set of compute kernels when there is a break point set between the first and second operation requests.

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: 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: 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.