Projects


Mobile Adaptive Distributed Graphics Framework (MADGRAF)

Mobile graphics, which involves running networked computer graphics applications on mobile devices across wireless networks, is a fast growing segment of the networks and graphics industries. Running networked graphics applications in mobile environments faces a fundamental conflict; graphics applications require large amounts of memory, CPU cycles, battery power and disk space, while mobile devices and wireless channels tend to be limited in these resources. In order to mitigate mobile environment issues, some form of adaptation based on a client device's capabilities, prevailing wireless network conditions, characteristics of the graphics application and user preference, is necessary. In this paper, we describe the Mobile Adaptive Distributed Graphics Framework (MADGRAF), a graphics-aware middleware architecture that makes it feasible to run complex 3D graphics applications on low end mobile devices over wireless networks. In MADGRAF, a server can perform mobile device-optimized pre-processing of complex graphics scenes in order to speed up run time rendering, scale high-resolution meshes using polygon or image-based simplification, progressively transmit compressed graphics files, conceal transmission errors by including redundant bits or perform remote execution, all tailored to the client's capabilities. MADGRAF exposes our Mobile Adaptive Distributed Graphics Language (MADGL), an API that facilitates the programming and management of networked 3D graphics in mobile environments.
MADGRAF Overview


Remote Mesa (R-Mesa)

Mobile devices have limited processing power and wireless networks have limited bandwidth. A modern photorealistic graphics application is resource-hungry, consumes large amounts of cpu cycles, memory and network bandwidth if networked. Moreover running them on mobile devices may also diminish their battery power in the process. The majority of graphics computations are floating point operations which can run significantly slower on mobile devices which do not have floating point units or 3D graphics accelerators. Proposed solutions such as input mesh simplification are lossy and reduce photorealism. Remote execution, wherein part or entire rendering process is offloaded to a powerful surrogate server, is an attractive solution. We propose pipeline-splitting, a paradigm whereby 15 sub-stages of the graphics pipeline are isolated and instrumented with networking code such that they can run on either a mobile client or a surrogate server. To validate our concepts, we instrument Mesa3D, a popular implementation of the OpenGL graphics to support pipeline-splitting, creating Remote Mesa (RMesa). We explore various mappings of the graphics pipeline to the client and server while monitoring key performance metrics such as total rendering time, power consumption on the client and network usage and establish conditions under which remote execution is an optimal solution.Our results show that even with the incurred roundtrip delay, our remote execution framework can improve rendering performance by up to 10 times when rendering a moderate-sized graphics mesh file.
R-Mesa


PowerSpy

Battery power capacity has shown very little growth, especially when compared with the exponential growths of CPU power, memory and disk space. Hence, battery power is frequently the most constraining resource on a mobile device. As a foundation for optimizing application energy usage on mobile devices, it is increasingly important to profile system-wide energy usage in order to accurately determine where the energy is going?. Previous work on profiling energy usage has either required external hardware multimeters, provided coarse grain results or required modifications to the operating system or/and profiled application. We present PowerSpy, which tracks and reports the battery energy consumed by the different threads of a monitored application, the operating system, other applications in a multi-threaded environment along with I/O devices. Using PowerSpy, we are able to measure the power consumption of five diverse applications including a web browser, VRML graphics browser, compiler and video player, all without requiring modification to the application's source code.
PowerSpy


Ubiquitous Scalable Graphics using Wavelets

Large meshes or images cannot be rendered at full resolution on mobile devices such as cell phones, PDAs and laptops since these devices have limited storage, CPU, memory, display, and battery power. Wavelet-based multiresolution analysis can represent meshes and graphics input at multiple Levels of Detail (LODs). We propose UbiWave, a wavelet-based framework for scalable transmission of large meshes and graphics content to heterogeneous ubiquitous computing devices. In UbiWave, a base representation and different levels of wavelet coefficients are pre-generated at the server. An optimal LOD level is transmitted to each mobile client based on its specifications and wireless channel conditions, where the corresponding LOD is reconstructed. To save scarce resources on mobile devices, we render graphics content at the lowest LOD that does not show visual artifacts, called the point of indiscernability (PoI). By rendering content at the PoI instead of the highest resolution, we are able save 61% decode time and 45% energy usage on the client.
UbiWave

Real-Time Rendering of Iridescent Colors using Spherical Harmonics

Iridescent colors such as diffraction, thin film interference, dispersive refraction and scattering are produced by wavelength-dependent Bi-directional Reflectance Distribution Functions (BRDFs). Diffraction causes shimmering colors seen on CD-ROMs and interference causes the colors of oil slicks and soap bubbles. Due to expensive per-wavelength sampling required, rendering wavelength-dependent BRDFs have historically been restricted to offline rendering techniques or real-time techniques that use color ramps and simplified BRDFs. We present a generalized real-time pipeline for physically accurate wavelength dependent phenomena that is independent of sampling cost, uses a wavelength-based color representation, and supports High Dynamic Range (HDR) rendering. Our pipeline converts the lighting environment and BRDF to per-wavelength Spherical Harmonics (SH) coefficients, rotates and uploads them to the rendering framework, then interactively renders the lighting integral with traditional scene geometry. Our pipeline is used to render diffraction and interference.
Iridescence



Research Highlights
* MADGRAF
* Powerspy PPT
* Siggraph 2006


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For more information, please send email to: Emmanuel Agu ( emmanuel {at} cs.wpi.edu)