GPU energy modeling and analysis
Abstract/Contents
- Abstract
- Over the past couple of decades GPUs have enjoyed tremendous scaling in both functionality and performance by focusing on area efficient processing. However, the slowdown in supply voltage scaling has created a new hurdle to continued scaling of GPU performance. This slowdown in voltage scaling has caused power consumption to limit the achievable GPU performance. Since GPUs currently use many of the well-known hardware techniques for reduced power consumption, GPU designers need to start looking at architectural techniques to improve energy efficiency. To enable this exploration, we create an accurate power model of GPU architectures and apply this model to explore a couple of methods to save power. As part of these studies we will look at overdraw (which occurs when a given pixel's value is computed more than once) and thread level redundancy in the shader processor of the GPU. Through the use of our model and GPU performance data, we will show that significant opportunities exist for improving energy efficiency. These studies demonstrate both the utility of our power model, and the potential of architectural changes to make GPUs more energy efficient.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2015 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Asgar, Zain |
|---|---|
| Associated with | Stanford University, Department of Electrical Engineering. |
| Primary advisor | Horowitz, Mark (Mark Alan) |
| Primary advisor | Montrym, John |
| Thesis advisor | Horowitz, Mark (Mark Alan) |
| Thesis advisor | Montrym, John |
| Thesis advisor | Kozyrakis, Christoforos, 1974- |
| Advisor | Kozyrakis, Christoforos, 1974- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Zain Asgar. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2015. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2015 by Zain Mohamed Asgar
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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