A Comparative Performance Analysis of Convolution W/O OpenCL on a Standalone System
- Title
- A Comparative Performance Analysis of Convolution W/O OpenCL on a Standalone System
- Creator
- Keswani B.; Venugopalan J.
- Description
- Initial approach of this paper is to provide a deep understanding of OpenCL architecture. Secondly, it proposes an implementation of a matrix and image convolution implemented in C (Serial Programming) and OpenCL (Parallel Programming), to describe detailed OpenCL programming flow and to provide a comparative performance analysis. The implementation is being carried on AMD A10 APU and various algebraic scenarios are created, to observe the performance improvement achieved on a single system when using Parallel Programming. In the related works authors have worked on AMDAPPSDK samples such as N-body & SimpleGL to understand the concept of vector data types in OpenCL and OpenCL-GL interoperability, have also implemented 3-D particle bouncing concept in OpenCL & 3D-Mesh rendering using OpenCL. Lastly, authors have also illuminated about their future work, where they intend to implement a novel algorithm for mesh segmentation using OpenCL, for which they have tried to form a strong knowledge base through this work. 2015 IEEE.
- Source
- Proceedings - 2015 2nd IEEE International Conference on Advances in Computing and Communication Engineering, ICACCE 2015, pp. 378-383.
- Date
- 2015-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Convolution; float4; GPGPU; Mesh Segmentation; Vertex Buffer Objects
- Coverage
- Keswani B., Computer Science Engineering Department, Christ University, Bangalore, India; Venugopalan J., Christ University, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-147991734-1
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Keswani B.; Venugopalan J., “A Comparative Performance Analysis of Convolution W/O OpenCL on a Standalone System,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/21017.