General-purpose computing on graphics processing units (GPGPU) is used not only to offload the CPU from heavy computations but also to perform them faster than it is possible on CPUs. This is commonly referred as GPU acceleration and is an exercised area of study in the PC platform that has received very little attention on commodity embedded devices. Just as the PC GPU is being used to perform computations that would be impossible in terms of execution time for its accompanying CPU, the embedded GPU can accelerate computations normally done by the embedded CPU. This work presents an implementation of a factible, real-Time, GPU accelerated stereo matching solution using a Broadcom's VideoCore IV GPU (BCM2835 System on a Chip). Details include the delimitation process, design considerations and optimization techniques.
|Title of host publication||International Conference on Advanced Mechatronic Systems, ICAMechS|
|Publisher||IEEE Computer Society|
|Number of pages||6|
|Publication status||Published - 14 Mar 2018|
|Event||International Conference on Advanced Mechatronic Systems, ICAMechS - |
Duration: 14 Mar 2018 → …
|Name||International Conference on Advanced Mechatronic Systems, ICAMechS|
|Conference||International Conference on Advanced Mechatronic Systems, ICAMechS|
|Period||14/3/18 → …|
Bibliographical noteFunding Information:
WebGL is another graphics API from the Khronos Group that is supported by major web browsers in both PC and mobile platforms. WebGL is described as “OpenGL ES 2.0 for the Web” by Khronos because of their vast similarities. Shaders written for WebGL are very likely to work without any modifications on OpenGL ES 2.0. Other GPU setup operations such as buffers, textures and framebuffers creation, deletion and binding are exactly the same. This similarity between APIs was exploited in this work to benchmark the proposed algorithm running on different embedded GPUs through WebGL.
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All Science Journal Classification (ASJC) codes
- Mechanical Engineering
- Electrical and Electronic Engineering