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Related Experiment Video

Updated: Apr 17, 2026

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

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Published on: February 13, 2018

Idle waves in high-performance computing.

Stefano Markidis¹, Juris Vencels¹, Ivy Bo Peng¹

¹HPCViz Department, KTH Royal Institute of Technology, Stockholm, Sweden.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|February 14, 2015

Summary

This summary is machine-generated.

Idle waves propagate through parallel scientific applications due to process synchronization. Understanding these idle waves is key to improving overall application performance.

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Area of Science:

High-performance computing
Parallel scientific applications
Computational science

Background:

Most parallel scientific applications involve processes alternating between busy and idle states.
Idle states arise when processes await data from other processes.

Purpose of the Study:

To identify and describe the phenomenon of idle wave propagation in parallel scientific applications.
To understand the mechanism behind idle wave formation and its impact on performance.

Main Methods:

Modeling parallel application processes as a continuous medium.
Analyzing the local information exchange and synchronization between processes.

Main Results:

Idle waves are identified as a key factor in performance degradation.
Idle waves are nondispersive, with velocity inversely proportional to average busy time.
Local synchronization due to remote data dependency enables idle wave propagation.

Conclusions:

Local idle periods can significantly impact remote processes and degrade global performance.
Viewing processes as a continuous medium aids in understanding idle wave dynamics.
Further research into idle wave mitigation can enhance parallel application efficiency.