Download presentation
Presentation is loading. Please wait.
Published byJune Dean Modified over 9 years ago
1
CoreWall Prototype Presented by Arun Rao @ EVL’s Tech Meeting 8/25/04
2
Background What is a “core”?
3
Background Received training as a core lab technician Made to understand “the process” Sensor scans on whole cores Splitting cores Imaging cores Sensor scans on split cores Initial Core Description (ICD)
4
Machinery & Data
5
So what’s the problem? Line Scan Images of Cores are “big” 50 MB on average 10 pixels/mm resolution Scientists desire to look at images and data right next to each other
6
Solution? Use available libraries for loading different image formats Draw over multiple screens using a multi-headed video card Try a couple ideas to get a starting point Keep a notebook in hand for random thoughts!!!!
7
Prototype 1 Done by drawing pixels every frame Results: Slow!!
8
Prototype 2 Take a textured polygon approach to drawing images Has advantages over drawing pixels every frame Has drawbacks
9
Textured Polygon Rendering of Images Textures stored in local video memory Often in Least Recently Used paging system Can be compressed and decompressed by video card hardware Texture Quadtree For dynamic allocation textures (actually not yet implemented) Acts as a multi-resolution control to be able to make better use of available memory
10
Problems? Multiheaded cards are on the PCI bus Paging textures to video cards can be slow Code is far from optimized causing pointless cache misses for texture usage/lookup “Too many” OpenGL contexts 4 OpenGL contexts on a single machine Extra time chewed up by context switching
11
User Interface? Needed a way to bring in tables, graphs and images easily Needed a way to organize tables, images, graphs One way suitable for testing slight differences in rendering approaches One way suitable for controlling/modifying data based on user events
12
Features Finished For Florida Natural organization of core data and images Ability to: Load multiple images of different core sections Load multiple sets of data tables Create and display graphs of data relative to a core section Move whole groups of cores Move individual core sections and have the graphs move with them It can make coffee too!
13
The Future Incorporate rendering technique into next JuxtaView Use LambdaRAM and Optistore (or similar types of services) Obtain experimental data for variable controls (e.g. texture dimensions) Lots of late nights
14
Cheers
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.