Fast Measurement of LogP Parameters for Message Passing Platforms

Kielmann, Thilo; Bal, Henri E.; Verstoep, Kees

doi:10.1007/3-540-45591-4_162

“…Kielmann et al introduces the new pLogP (parametrized LogP) model and presents techniques to measure the parameter in [23]. He also shows how to reduce pLogP parameters to LogGP parameters.…”

Section: Background and Related Workmentioning

confidence: 99%

“…We do also not need to adjust d stepwise to fit other values. The measurement of o r can be performed as proposed by Kielmann [23]. We are aware that this method will not produce accurate results.…”

Section: Assessment Of the Overheads O S And O Rmentioning

confidence: 99%

LogGP in theory and practice – An in-depth analysis of modern interconnection networks and benchmarking methods for collective operations

Hoefler

¹

,

Schneider

²

,

Lumsdaine

³

2009

Simulation Modelling Practice and Theory

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…The idea of using the LogP model to characterize communication performance is not new and has been successfully used in several studies [30,23,26,27,29]. LogP has also been extended to provide a finer characterization of the network resulting in new communication parameters such as Gap for long messages, send overhead, receive overhead, etc.…”

Section: Thementioning

confidence: 99%

“…A micro-benchmark to measure the parameterized LogP was also developed [27]. The aim of this micro-benchmark is the ability to measure the communication parameters without saturating the communication links (except when measuring the gap for messages of size 0), i.e., use fewer messages than the micro-benchmark developed by Culler [14].…”

Section: Chapter 6 Related Workmentioning

confidence: 99%

“…This tool is useful in analyzing the requirements and sensitivity of applications to communication performance. Our apparatus is based on the LogP model [13], which has been useful in characterizing communication performance [30,23,26,27,29]. This model has been extended in different ways to provide specific characterizations in terms of message size, type of network, etc.…”

Section: Chapter 1 Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An MPI Tool to Measure Application Sensitivity to Variation in Communication Parameters

León

¹

,

Maccabe

²

,

Brightwell

³

2003

Recent Advances in Parallel Virtual Machine and Message Passing Interface

1

0

Get access via publisher Add to dashboard Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

References

Lastovetsky

¹

,

Dongarra

²

2009

High‐Performance Heterogeneous Computing

0

Get access via publisher Add to dashboard Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

Fast Measurement of LogP Parameters for Message Passing Platforms

Cited by 132 publications

References 13 publications

LogGP in theory and practice – An in-depth analysis of modern interconnection networks and benchmarking methods for collective operations

LogGP in theory and practice – An in-depth analysis of modern interconnection networks and benchmarking methods for collective operations

An MPI Tool to Measure Application Sensitivity to Variation in Communication Parameters

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