| Category |
Online Presentations |
| Abstract |
Quantative MRI Reconstruction
Topics:
- Reconstructing MR Images
- An exciting revolution: Sodium Map of the Brain
- Least Squares reconstruction
- Q vs. FhD
- Algorithms to Accelerate
- From C to CUDA: What Unit of Work is Assigned to each Thread?
- Code Motion
- A Second option for the cmpFhD kernel
- Loop Fission
- Cache Conscious Data Layout
- Adjusting K Space Data Layout
- Overcoming Memory BW Limitations
- Estimating Off Chip Loads with Const Cache
- Using Super Function Units
- Effects Of Approximations
- Overcoming Bottlenecks
- Experimental Tuning: Tradeoffs
- Optimizing the CPU Implementation
|
| Credits |
These lecture were breezed by Carl Pearson and Daniel Borup and then reviewed, edited ,and Uploaded by Omar Sobh. |
| Sponsored by |
NCN@illinois |
| Cite this work |
Researchers should cite this work as follows:
-
Wen-Mei W Hwu (2009), "Illinois ECE 498AL: Programming Massively Parallel Processors, Lecture 14: Application Case Study - Quantative MRI Reconstruction," http://nanohub.org/resources/7406.
|
| Tags |
- CUDA 1
- GPU 1
- Illinois 1
- Imaging 1
- MRI 1
|