In this paper we describe pSigma, which is an in-frastructure for instrumenting parallel applications, en-abling the users to probe into the execution of an appli-cation by intercepting its control-flow at selected points, the selection being made by lucid specifications using symbolic names of data structures and functions in the source program and performance-related information about the memory subsystem. This infrastructure assists application developers and system architects in exam-ining performance events and relating them to the data and control components at the source program level. By providing details on how data is shared among parallel program components, it helps in exposing the perfor-mance effects induced by mutual interfer...
Parallel programming has always been difficult due to the complexity of hardware and the diversity o...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
In this article we present a novel approach to analyzing performance properties of parallel applicat...
Recent advances in the power of parallel computers have made them attractive for solving large compu...
The notion of dependence captures the most important properties of a program for efficient execution...
Efficiently utilizing the computational resources of today's HPC systems is a non-trivial task. For...
Scalasca is a comprehensive open source performance analysis toolset for parallel programs, built wi...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 1996.Designing high performance...
This paper presents an abstract interpretation framework for parallelizing compilers. Within this fr...
Building parameterized performance models of applications in an automatic way is difficult because o...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
Abstract. Understanding symbolic expressions is an important capability of advanced program analysis...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
A new technique for estimating and understanding the speed improvement that can result from executin...
The IPS-2 parallel program measurement tools pro-vide performance data from application programs, th...
Parallel programming has always been difficult due to the complexity of hardware and the diversity o...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
In this article we present a novel approach to analyzing performance properties of parallel applicat...
Recent advances in the power of parallel computers have made them attractive for solving large compu...
The notion of dependence captures the most important properties of a program for efficient execution...
Efficiently utilizing the computational resources of today's HPC systems is a non-trivial task. For...
Scalasca is a comprehensive open source performance analysis toolset for parallel programs, built wi...
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 1996.Designing high performance...
This paper presents an abstract interpretation framework for parallelizing compilers. Within this fr...
Building parameterized performance models of applications in an automatic way is difficult because o...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
Abstract. Understanding symbolic expressions is an important capability of advanced program analysis...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
A new technique for estimating and understanding the speed improvement that can result from executin...
The IPS-2 parallel program measurement tools pro-vide performance data from application programs, th...
Parallel programming has always been difficult due to the complexity of hardware and the diversity o...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
In this article we present a novel approach to analyzing performance properties of parallel applicat...