OCL-BodyScan : A Case Study for Application-centric Programming of Many-Core Processors
Autor: | Maarten Ditzel, Ana Lucia Varbanescu, Milos Raskovic, Henk Sips, Wouter Vlothuizen |
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Jazyk: | angličtina |
Rok vydání: | 2011 |
Předmět: |
Focus (computing)
TS - Technical Sciences Informatics Multiprocessing systems OpenCL Computer science Parallel programming Application portability DSS - Distributed Sensor Systems RT - Radar Technology Software performance evaluation Computer graphics Software portability Many core Computer architecture Physics & Electronics Portability testing 3D Bodyscan |
Zdroj: | 2011 International Conference on Parallel Processing (ICPP-2011), 13-16 September 2011, Taipei City, Taiwan, 542-551 ICPP |
Popis: | Application development for many-core processors is predominately hardware-centric: programmers design, implement, and optimize applications for a pre-chosen target platform. While this approach may deliver very good performance, it lacks portability, being inefficient for applications that aim to use multiple architectures or large-scale parallel platforms with heterogeneous many-core nodes. In this work, we focus on application portability. Therefore, we propose an application-centric approach for developing parallel workloads for many-cores, and we make use of OpenCL to preserve portability until the very last optimization stages. We validate our application-centric approach using 3D body scan, a data intensive application with soft real-time constraints. Thus, we design and implement OCL-body scan (the portable OpenCL-based version of 3D Body scan), and we evaluate its performance on three families of platforms - general purpose multi-cores, graphical processing units, and the Cell/B.E.. Our experiments show that our application-centric strategy enables portability and leads to good performance results. Additionally, typical platform-specific optimizations can be applied in the final implementation stages, leading to performance results similar to those obtained using the native tool-chains. |
Databáze: | OpenAIRE |
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