The Autopilot performance-directed adaptive control system

Ribler, Randy; Simitci, Huseyin; Reed, Daniel A.

doi:10.1016/s0167-739x(01)00051-6

Cited by 75 publications

(31 citation statements)

References 20 publications

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“…Significant research has also been conducted to realize adaptivity in distributed scientific computations are well studied, e.g., in the contexts of performance modeling [Vraalsen et al, 2001;Adve et al, 2002], application tuning [Chang and Karamcheti, 2001], and meta-modeling and control [Ribler et al 2001;Kennedy et al, 2002]. Many of these applications are focused on selecting system configurations, identifying optimal application parameters, and exploiting opportunities for application scheduling over the Grid.…”

Section: Discussionmentioning

confidence: 99%

Novel runtime systems support for adaptive compositional modeling in PSEs

Varadarajan

Ramakrishnan

2005

Future Generation Computer Systems

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Grid infrastructures and computing environments have progressed significantly in the past few years. The vision of truly seamless Grid usage relies on runtime systems support that is cognizant of the operational issues underlying grid computations and, at the same time, is flexible enough to accommodate diverse application scenarios. This paper addresses the twin aspects of Grid infrastructure and application support through a novel combination of two computational technologies -Weaves, a source-language independent parallel runtime compositional framework that operates through reverse-analysis of compiled object files, and runtime recommender systems that aid in dynamic knowledge-based application composition. Domain-specific adaptivity is exploited through a novel compositional system that supports runtime recommendation of code modules and a sophisticated checkpointing and runtime migration solution that can be transparently deployed over Grid infrastructures. A core set of "adaptivity schemas" are provided as templates for adaptive composition of large-scale scientific computations. Implementation issues, motivating application contexts, and preliminary results are described.

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Section: Discussionmentioning

confidence: 99%

Novel runtime systems support for adaptive compositional modeling in PSEs

Varadarajan

Ramakrishnan

2005

Future Generation Computer Systems

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“…GrADS utilizes Autopilot [102] to monitor performance of the agreement between the application demands and resource capabilities. Once the contract is violated, the rescheduler [31] of the GrADS takes corrective actions.…”

Section: Workflow Management In Gradsmentioning

confidence: 99%

A Taxonomy of Workflow Management Systems for Grid Computing

2005

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With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute scientific experiments on distributed resources. Such application scenarios require means for composing and executing complex workflows. Therefore, many efforts have been made towards the development of workflow management systems for Grid computing. In this paper, we propose a taxonomy that characterizes and classifies various approaches for building and executing workflows on Grids. We also survey several representative Grid workflow systems developed by various projects world-wide to demonstrate the comprehensiveness of the taxonomy. The taxonomy not only highlights the design and engineering similarities and differences of state-of-the-art in Grid workflow systems, but also identifies the areas that need further research.

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“…On-line automated computational steering frameworks like Falcon [16], Autopilot [10], Active Harmony [15], and MOSS [3] use a distributed system of sensors to collect data about an application's behavior and actuators to make modifications to application variables. These systems have built-in transport support and require the application to be modified to expose steerable parameters.…”

Section: Related Workmentioning

confidence: 99%

TAUoverSupermon: Low-Overhead Online Parallel Performance Monitoring

Nataraj

Sottile

Morris

et al. 2007

Lecture Notes in Computer Science

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Abstract. Online application performance monitoring allows tracking performance characteristics during execution as opposed to doing so post-mortem. This opens up several possibilities otherwise unavailable such as real-time visualization and application performance steering that can be useful in the context of long-running applications. As HPC systems grow in size and complexity, the key challenge is to keep the online performance monitor scalable and low overhead while still providing a useful performance reporting capability. Two fundamental components that constitute such a performance monitor are the measurement and transport systems. We adapt and combine two existing, mature systems -TAU and Supermon -to address this problem. TAU performs the measurement while Supermon is used to collect the distributed measurement state. Our experiments show that this novel approach leads to very lowoverhead application monitoring as well as other benefits unavailable from using a transport such as NFS.

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The Autopilot performance-directed adaptive control system

Cited by 75 publications

References 20 publications

Novel runtime systems support for adaptive compositional modeling in PSEs

Novel runtime systems support for adaptive compositional modeling in PSEs

A Taxonomy of Workflow Management Systems for Grid Computing

TAUoverSupermon: Low-Overhead Online Parallel Performance Monitoring

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