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1
Introduction
2
Clock speeds plateau
3
CPU and GPU performance
4
Writing parallel code
5
Example
6
CPU performance
7
CPU parallelisation
8
GPU parallelisation
9
Results
10
Results summary
11
Real codes
12
GPU capabilities
13
Example model
14
The role of modelers
15
Cost comparison
16
Hardware summary
17
GPU selection
18
Summary page
19
QA
20
Conclusion
Description:
Explore hardware selection and trends in hydraulic modelling in this 59-minute webinar from the Australian Water School. Learn from Greg Collecutt, Team TUFLOW's senior GPU code developer with over 25 years of experience in scientific modelling software. Discover how new computer hardware generations favor certain hydraulic solution schemes and offer lower solution costs. Understand the implications of processor speed limitations and falling silicon process scales on solution schemes, emphasizing the need for highly parallel computation and explicit solvers. Examine how increased modelling resolutions reveal deficiencies in existing methods, particularly in turbulence closure formulation. Gain insights into adopting software that aligns with hardware advancements and new methodologies for smaller modelling cell sizes and Monte-Carlo style statistical studies. Recognize the importance of staying grounded in hydraulics and interpreting results accurately as model resolutions increase. Compare CPU and GPU performance, exploring how current GPU technology can significantly reduce solution costs. Dive into topics such as parallel code writing, CPU and GPU parallelisation, real code examples, and GPU capabilities through various syllabus points, concluding with a Q&A session. Read more

Hardware Selection and Trends in Hydraulic Modelling

Australian Water School
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