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  • Course

Parallel-friendly Rigging in Maya 2018

Maya 2018 continues to enhance parallel performance with various improvements, including the expansion of GPU supported nodes. This course will examine Parallel Evaluation, build a parallel-friendly rig, and provide performance debugging techniques.

Intermediate
1h 44m
(8)

Created by Joshua Gaines

Last Updated Dec 08, 2022

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  • Course

Parallel-friendly Rigging in Maya 2018

Maya 2018 continues to enhance parallel performance with various improvements, including the expansion of GPU supported nodes. This course will examine Parallel Evaluation, build a parallel-friendly rig, and provide performance debugging techniques.

Intermediate
1h 44m
(8)

Created by Joshua Gaines

Last Updated Dec 08, 2022

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What you'll learn

Parallel Evaluation mode was first introduced in Maya 2016 to increase animation performance through parallel processing and GPU acceleration. Maya 2018 continues to enhance parallel performance with various improvements, including the expansion of GPU supported nodes. In this course, Parallel-friendly Rigging in Maya 2018, you'll learn Parallel Evaluation, build a parallel-friendly rig, and provide performance debugging techniques. First, you'll discover how Maya’s Parallel Evaluation is computed in comparison to DG Evaluation. Next, you'll learn to apply knowledge into prototyping a parallel-friendly rig. Finally, you'll explore some performance debugging techniques. By the end of this course, you'll have a better understanding of Parallel Rigging. Software required: Maya 2018.

Parallel-friendly Rigging in Maya 2018
Intermediate
1h 44m
(8)
Table of contents

About the author
Joshua Gaines - Pluralsight course - Parallel-friendly Rigging in Maya 2018
Joshua Gaines
2 courses 0.0 author rating 0 ratings

Josh is a career rigging technical artist for Electronic Arts. He has worked on several NBA LIVE and Madden titles while indirectly working on FIFA, UFC, NHL, and PGA Tour through shared technology developments. He has a passion for creating character control rigs, anatomical deformation, custom tools, and increasing performance through workflow efficiencies.

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