GASP! A Standardized Performance Analysis Tool Interface for Global Address Space Programming Models

Su, Hung-Hsun; Bonachea, Dan; Leko, Adam; Sherburne, Hans; Billingsley, Iii. Max; George, Alan

doi:10.1007/978-3-540-75755-9_54

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…[21,33]), or global address space languages (e.g. [34]). In contrast, HPCTOOLKIT can pinpoint contextual performance problems independent of model-and even within stripped, vendor-supplied math and communication libraries.…”

Section: Related Workmentioning

confidence: 99%

HPCTOOLKIT: tools for performance analysis of optimized parallel programs

Adhianto

Banerjee

Fagan

et al. 2009

Concurrency and Computation

479

290

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SUMMARYHPCTOOLKIT is an integrated suite of tools that supports measurement, analysis, attribution, and presentation of application performance for both sequential and parallel programs. HPCTOOLKIT can pinpoint and quantify scalability bottlenecks in fully optimized parallel programs with a measurement overhead of only a few percent. Recently, new capabilities were added to HPCTOOLKIT for collecting call path profiles for fully optimized codes without any compiler support, pinpointing and quantifying bottlenecks in multithreaded programs, exploring performance information and source code using a new user interface, and displaying hierarchical space-time diagrams based on traces of asynchronous call path samples. This paper provides an overview of HPCTOOLKIT and illustrates its utility for performance analysis of parallel applications.

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Section: Related Workmentioning

confidence: 99%

HPCTOOLKIT: tools for performance analysis of optimized parallel programs

Adhianto

Banerjee

Fagan

et al. 2009

Concurrency and Computation

479

290

View full text Add to dashboard Cite

show abstract

“…GASP [12] is a profiling interface for global address space programming models such as UPC [2], Co-array Fortran [9], Titanium [14], and SHMEM. GASP is an event-based interface that specifies how the runtime environment communicates with performance tools.…”

Section: Related Workmentioning

confidence: 99%

Open Source Software Support for the OpenMP Runtime API for Profiling

Hernández

Nanjegowda

Chapman

et al. 2009

2009 International Conference on Parallel Processing Workshops

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OpenMP is a de facto standard API for shared-memory programming with widespread vendor support and a large user base. The OpenMP Architecture Review Board has sanctioned an interface specification known as the "OpenMP Runtime API for Profiling" to enable tools to collect performance data for OpenMP programs. This paper describes the interface and our experiences implementing it in OpenUH, an open source OpenMP compiler.

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“…Tools for measuring parallel application performance are typically model dependent, such as libraries for monitoring MPI communication (e.g., [47,42,43]), interfaces for monitoring OpenMP programs (e.g., [8,26]), or global address space languages (e.g., [38]). In contrast, our approach of using call path profiling is model independent.…”

Section: Related Workmentioning

confidence: 99%

Scalability analysis of SPMD codes using expectations

Coarfa

Mellor-Crummey

Froyd³

et al. 2007

Proceedings of the 21st Annual International Conference on Supercomputing

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We present a new technique for identifying scalability bottlenecks in executions of single-program, multiple-data (SPMD) parallel programs, quantifying their impact on performance, and associating this information with the program source code. Our performance analysis strategy involves three steps. First, we collect call path profiles for two or more executions on different numbers of processors. Second, we use our expectations about how the performance of executions should differ, e.g., linear speedup for strong scaling or constant execution time for weak scaling, to automatically compute the scalability of costs incurred at each point in a program's execution. Third, with the aid of an interactive browser, an application developer can explore a program's performance in a top-down fashion, see the contexts in which poor scaling behavior arises, and understand exactly how much each scalability bottleneck dilates execution time. Our analysis technique is independent of the parallel programming model. We describe our experiences applying our technique to analyze parallel programs written in Co-array Fortran and Unified Parallel C, as well as message-passing programs based on MPI.

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GASP! A Standardized Performance Analysis Tool Interface for Global Address Space Programming Models

Cited by 6 publications

References 9 publications

HPCTOOLKIT: tools for performance analysis of optimized parallel programs

HPCTOOLKIT: tools for performance analysis of optimized parallel programs

Open Source Software Support for the OpenMP Runtime API for Profiling

Scalability analysis of SPMD codes using expectations

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