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Energy Analysis for Graphics Processors using Novel Methods & Efficient Multi-View Rendering

Johnsson, Björn M LU (2014)
Abstract
Real-time rendering is increasingly being performed on battery powered devices, such as laptops and mobile phones. As a result, performance in rendering time is not the only important factor, but the energy consumption is also becoming more and more important, as a lower energy usage directly translates to longer battery time. The main topic of this thesis is energy consumption of graphics processors. To examine this, we perform high-frequency measurements of a number of graph- ics devices’ power consumption. Simultaneously, we render real-time graphics workloads to analyze the power consumption for a number of devices, algorithms, and settings. We draw a number of conclusions for different platforms, e.g., that it is incorrect to assume a... (More)
Real-time rendering is increasingly being performed on battery powered devices, such as laptops and mobile phones. As a result, performance in rendering time is not the only important factor, but the energy consumption is also becoming more and more important, as a lower energy usage directly translates to longer battery time. The main topic of this thesis is energy consumption of graphics processors. To examine this, we perform high-frequency measurements of a number of graph- ics devices’ power consumption. Simultaneously, we render real-time graphics workloads to analyze the power consumption for a number of devices, algorithms, and settings. We draw a number of conclusions for different platforms, e.g., that it is incorrect to assume a direct correlation between rendering time and per-frame energy consumption. We also present a method for evaluating if there is such a correlation on a specific, efficiently utilized, platform. This method uses Pareto frontiers to filter out measurements that are inefficient, with respect to render- ing time and energy consumption, and analyses only measured data points with a possible trade-off. Our long-term goal is to use our conclusions for developing energy-efficient algorithms, as well as raising awareness in the developer commu- nity to consider rendering time and energy consumption while developing real- time graphics algorithms. Furthermore, we develop and improve methods for cor- relating energy consumption on a per-frame basis with other information collected for specific frames, to enable improved analysis regarding real-time graphics en- ergy consumption.

Our second topic is efficient multi-view rendering. We have developed an opti- mized algorithm for multi-view ray tracing, targeting auto-stereoscopic displays, which performs up to an order of magnitude faster than previous state of the art algorithms. In addition, we have examined the feasibility of enabling a proposed higher-dimensional rasterizer implemented in hardware to render multi-view and stereoscopic image sets in a single pass. We find it straightforward to adapt a higher-dimensional rasterizer to support multi-view rendering, and propose im- provements to enhance the rendering performance for such applications. (Less)
Please use this url to cite or link to this publication:
author
supervisor
opponent
  • Professor Grahn, Håkan, Blekinge Institute of Technology, Sweden
organization
publishing date
type
Thesis
publication status
published
subject
keywords
Computer graphics, energy consumption, energy measurements, multi-view rendering
pages
148 pages
publisher
Department of Computer Science, Lund University
defense location
Lecture hall E:1406, E-building, Ole Römers väg 3, Lund University Faculty of Engineering
defense date
2014-10-03 10:15
ISSN
1404-1219
ISBN
978-91-7623-027-5
language
English
LU publication?
yes
id
8f8e319d-dcc8-4f25-97d0-328ffa4f9183 (old id 4631541)
date added to LUP
2014-09-17 12:32:30
date last changed
2016-09-19 08:44:48
@phdthesis{8f8e319d-dcc8-4f25-97d0-328ffa4f9183,
  abstract     = {Real-time rendering is increasingly being performed on battery powered devices, such as laptops and mobile phones. As a result, performance in rendering time is not the only important factor, but the energy consumption is also becoming more and more important, as a lower energy usage directly translates to longer battery time. The main topic of this thesis is energy consumption of graphics processors. To examine this, we perform high-frequency measurements of a number of graph- ics devices’ power consumption. Simultaneously, we render real-time graphics workloads to analyze the power consumption for a number of devices, algorithms, and settings. We draw a number of conclusions for different platforms, e.g., that it is incorrect to assume a direct correlation between rendering time and per-frame energy consumption. We also present a method for evaluating if there is such a correlation on a specific, efficiently utilized, platform. This method uses Pareto frontiers to filter out measurements that are inefficient, with respect to render- ing time and energy consumption, and analyses only measured data points with a possible trade-off. Our long-term goal is to use our conclusions for developing energy-efficient algorithms, as well as raising awareness in the developer commu- nity to consider rendering time and energy consumption while developing real- time graphics algorithms. Furthermore, we develop and improve methods for cor- relating energy consumption on a per-frame basis with other information collected for specific frames, to enable improved analysis regarding real-time graphics en- ergy consumption.<br/><br>
Our second topic is efficient multi-view rendering. We have developed an opti- mized algorithm for multi-view ray tracing, targeting auto-stereoscopic displays, which performs up to an order of magnitude faster than previous state of the art algorithms. In addition, we have examined the feasibility of enabling a proposed higher-dimensional rasterizer implemented in hardware to render multi-view and stereoscopic image sets in a single pass. We find it straightforward to adapt a higher-dimensional rasterizer to support multi-view rendering, and propose im- provements to enhance the rendering performance for such applications.},
  author       = {Johnsson, Björn M},
  isbn         = {978-91-7623-027-5},
  issn         = {1404-1219},
  keyword      = {Computer graphics,energy consumption,energy measurements,multi-view rendering},
  language     = {eng},
  pages        = {148},
  publisher    = {Department of Computer Science, Lund University},
  school       = {Lund University},
  title        = {Energy Analysis for Graphics Processors using Novel Methods & Efficient Multi-View Rendering},
  year         = {2014},
}