VLSI-based monitoring of the inter-process-communication in multi-microcomputer systems with shared memory

Klar, Rainer; Luttenberger, Norbert

doi:10.1016/0165-6074(86)90044-x

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…Research on parallel performance tools has a long history. First tools appeared at the same time as the first parallel computer systems back in the 1980s and early 90s [1]. Meanwhile, many performance instrumentation, measurement, analysis and visualization tools exist, and summarizing and listing all major methods, approaches and tools is impossible in a short journal paper.…”

Section: Overview Of State-of-the-art Parallel Performance Toolsmentioning

confidence: 99%

Scalable parallel performance measurement and analysis tools - state-of-the-art and future challenges

Mohr

2014

JSFI

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Current large-scale HPC systems consist of complex configurations with a huge number of potentially heterogeneous components. As the systems get larger, their behavior becomes more and more dynamic and unpredictable because of hard-and software re-configurations due to fault recovery and power usage optimizations. Deep software hierarchies of large, complex system software and middleware components are required to operate such systems. Therefore, porting, adapting and tuning applications to today's complex systems is a complicated and time-consuming task. Sophisticated integrated performance measurement, analysis, and optimization capabilities are required to efficiently utilize such systems. This article will summarize the state-of-the-art of scalable and portable parallel performance tools and the challenges these tools are facing on future extreme-scale and big data systems.

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Section: Overview Of State-of-the-art Parallel Performance Toolsmentioning

confidence: 99%

Scalable parallel performance measurement and analysis tools - state-of-the-art and future challenges

Mohr

2014

JSFI

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“…The complexity of the event detector largely depends on the type of measurement: to recognize predefined statements in a program running on a processor without instruction cache and memory management unit, a set of comparators or a memory-mapped comparison scheme suffices. If the object system uses a processor with a hardware cache, or if predefined sequences of statements are intended to trigger an event, much more complex recognition circuits will be necessary [KL86]. In some cases of hybrid monitoring, the object system itself presents event tokens in form of parallel bit patterns.…”

Section: Dpu Architecturementioning

confidence: 99%

Distributed performance monitoring: methods, tools, and applications

Hofmann

Klar

Mohr

et al. 1994

IEEE Trans. Parallel Distrib. Syst.

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A method for analyzing the functional behavior and the performance of programs in distributed systems is presented. We use hybrid monitoring, a technique which combines advantages of both software monitoring and hardware monitoring. The paper contains a description of a hardware monitor and a software package (ZM4/SIMPLE) which make our concepts available to programmers, assisting them in debugging and tuning of their code. A short survey of related monitor systems highlights the distinguishing features of our implementation. As an application of our monitoring and evaluation system, the analysis of a parallel ray tracing program running on the SUPRENUM multiprocessor is described. It is shown that monitoring and modeling both rely on a common abstraction of a system's dynamic behavior and therefore can be integrated to one comprehensive methodology. This methodology is supported by a set of tools.

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A Hardware Instrumentation Approach for Performance Measurement of a Shared-Memory Multiprocessor

Nacht

Mink

1989

Modeling Techniques and Tools for Computer Performance Evaluation

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VLSI-based monitoring of the inter-process-communication in multi-microcomputer systems with shared memory

Cited by 6 publications

References 4 publications

Scalable parallel performance measurement and analysis tools - state-of-the-art and future challenges

Scalable parallel performance measurement and analysis tools - state-of-the-art and future challenges

Distributed performance monitoring: methods, tools, and applications

A Hardware Instrumentation Approach for Performance Measurement of a Shared-Memory Multiprocessor

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