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Uncertainty: Overview

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In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.

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Related Experiment Videos

Hybrid Rendering with Scheduling under Uncertainty.

Georg Tamm, Jens Krüger

IEEE Transactions on Visualization and Computer Graphics

|October 14, 2014

Summary

This summary is machine-generated.

This study introduces a hybrid visualization method that balances workload between clients and servers. This approach optimizes rendering performance by adapting to dynamic system conditions for faster results.

Related Experiment Videos

Area of Science:

Scientific Visualization
High-Performance Computing

Background:

Increasing scientific data necessitates efficient visualization pipelines.
Purely server-based visualization leaves client hardware idle and is vulnerable to network issues.

Purpose of the Study:

To develop a hybrid visualization method balancing server and client workload.
To achieve faster rendering results by leveraging client capabilities.

Main Methods:

Implemented a hybrid approach distributing visualization tasks between server and client.
Developed a probabilistic scheduler that adapts workload dynamically.
Schedule determined by runtime processing and transfer timings.

Main Results:

The hybrid method allows capable clients to render images independently.
The adaptive scheduler shifts workload to optimize performance.
System performance variability is accounted for in scheduling.

Conclusions:

Hybrid visualization offers a synergistic approach to accelerate rendering.
Dynamic workload scheduling enhances efficiency in scientific data visualization.
This method improves response times despite variable network and server conditions.